1 00:00:07,091 --> 00:00:08,225 ALL RIGHT GOOD AFTERNOON, 2 00:00:08,225 --> 00:00:09,627 EVERYONE. 3 00:00:09,627 --> 00:00:11,295 WELCOME TO THE 155th MEETING 4 00:00:11,295 --> 00:00:12,730 OF THE NATIONAL ADVISORY COUNCIL 5 00:00:12,730 --> 00:00:13,864 ON AGING. 6 00:00:13,864 --> 00:00:17,401 MY NAME'S KEN SANTORA, I'M THE 7 00:00:17,401 --> 00:00:19,737 EXEC SEC FOR THIS COUNCIL 8 00:00:19,737 --> 00:00:22,706 MEETING AND SO WE WILL GET 9 00:00:22,706 --> 00:00:24,508 STARTED WITH OPENING REMARKS 10 00:00:24,508 --> 00:00:27,111 FROM OUR DIRECTOR DR. RICHARD 11 00:00:27,111 --> 00:00:27,678 HODES. 12 00:00:27,678 --> 00:00:30,981 SO WE WILL START WITH RICHARD. 13 00:00:30,981 --> 00:00:32,316 RICHARD, PLEASE? 14 00:00:32,316 --> 00:00:33,817 >> THANK YOU KENT, WELL WELCOME 15 00:00:33,817 --> 00:00:35,920 TO THE 155th AND OPEN SESSION. 16 00:00:35,920 --> 00:00:38,122 I WILL START WITH SOME BRIEF 17 00:00:38,122 --> 00:00:39,123 COMMENTS AND UPDATES FOR YOU AND 18 00:00:39,123 --> 00:00:42,293 THEN WE WILL OPEN THAT UP TO 19 00:00:42,293 --> 00:00:42,559 QUESTIONS. 20 00:00:42,559 --> 00:00:46,830 MAY I HAVE THE NEXT SLIDE 21 00:00:46,830 --> 00:00:47,064 PLEASE. 22 00:00:47,064 --> 00:00:49,366 SO FIRST SLIDE IS TO SHARE WITH 23 00:00:49,366 --> 00:00:55,673 YOU THE SAD NEWS OF THE LOSS OF 24 00:00:55,673 --> 00:00:57,174 NEIL BUCKHOLZ, MANY OF YOU KNEW 25 00:00:57,174 --> 00:00:59,743 HIM, HE SERVE AS THE DIRECTOR OF 26 00:00:59,743 --> 00:01:01,979 NEUROSCIENCE FOR THE NIA, HE WAS 27 00:01:01,979 --> 00:01:05,516 WITH THE INSTITUTE FOR 25 YEARS 28 00:01:05,516 --> 00:01:07,017 BEFORE HE RETIRES, I THINK FOR 29 00:01:07,017 --> 00:01:09,219 THE SECOND OR THIRD TIME BECAUSE 30 00:01:09,219 --> 00:01:11,855 WE KEPT CALLING HIM BACK. 31 00:01:11,855 --> 00:01:16,660 HE LEFT AN ENORMOUS HERITAGE FOR 32 00:01:16,660 --> 00:01:20,264 WHAT HE ACCOMPLISHED, THE 33 00:01:20,264 --> 00:01:21,398 PRIVATE-PARTNERSHIPS, FOR PROFIT 34 00:01:21,398 --> 00:01:22,666 ORGANIZATIONS CONTRIBUTE TO A 35 00:01:22,666 --> 00:01:24,301 COMMON FUND OF KNOWLEDGE FOR THE 36 00:01:24,301 --> 00:01:26,837 GOOD OF ALL INVOLVED IN A 37 00:01:26,837 --> 00:01:28,205 PRECOMPETITIVE SENSE, THE WAY IN 38 00:01:28,205 --> 00:01:30,975 WHICH DATA WAS MADE AVAILABLE 39 00:01:30,975 --> 00:01:33,210 FREELYY AND IMMEDIATELY, ALL 40 00:01:33,210 --> 00:01:34,912 THIS OPEN SCIENCE, COLLABORATIVE 41 00:01:34,912 --> 00:01:36,246 SCIENCE, REALLY OWE TO NEAL SOME 42 00:01:36,246 --> 00:01:37,448 OF THE IMPORTANT LANDMARKS IN 43 00:01:37,448 --> 00:01:40,551 ALL OF THIS. 44 00:01:40,551 --> 00:01:42,653 SO, HIS MEMORIAL SERVICE, HIS 45 00:01:42,653 --> 00:01:44,021 FUNERAL, MANY SPOKE TO THESE 46 00:01:44,021 --> 00:01:47,224 CONTRIBUTIONS AND ABOVE ALL, WE 47 00:01:47,224 --> 00:01:48,692 WAS MODEST TAKING A LITTLE 48 00:01:48,692 --> 00:01:50,461 CREDIT FOR ANYTHING, THOUGH HE 49 00:01:50,461 --> 00:01:51,528 DESERVED CREDIT AND WE MISSED 50 00:01:51,528 --> 00:01:52,930 HIM SINCE THAT TIME AND WE'RE 51 00:01:52,930 --> 00:01:53,998 JUST GRATEFUL FOR ALL THE TIME 52 00:01:53,998 --> 00:01:56,834 HE HAD WITH HIM AND WHAT HE HAS 53 00:01:56,834 --> 00:02:00,471 CONTRIBUTED. 54 00:02:00,471 --> 00:02:02,072 NEXT SLIDE, PLEASE. 55 00:02:02,072 --> 00:02:05,409 THIS IS 1 DATA SUMMARY SLIDE OF 56 00:02:05,409 --> 00:02:11,782 THE TRENDS IN NIA, NIH SUPPORTED 57 00:02:11,782 --> 00:02:12,850 ADRD CLINICAL TRIALS AND I SHOW 58 00:02:12,850 --> 00:02:14,752 IT TO EMPHASIZE THE WAY IN WHICH 59 00:02:14,752 --> 00:02:17,087 THANKS TO THE INCREASED 60 00:02:17,087 --> 00:02:19,256 APPROPRIATIONS AND SUPPORT BY 61 00:02:19,256 --> 00:02:22,126 BOTH SIDE OF THE CONGRESS AND 62 00:02:22,126 --> 00:02:23,494 MULTIPLE ADMINISTRATIONS WE'VE 63 00:02:23,494 --> 00:02:24,561 GROWN A RESOURCE THAT HAS 64 00:02:24,561 --> 00:02:26,296 ALLOWED US TO GAIN NEW INSIGHT 65 00:02:26,296 --> 00:02:31,935 INTOS THE CELLULAR, MOLECULAR 66 00:02:31,935 --> 00:02:33,704 EXPOETICSOME RELATED RISK 67 00:02:33,704 --> 00:02:36,106 FACTORS AND THINGS THAT LEAD TO 68 00:02:36,106 --> 00:02:38,976 ALZHEIMERS AND DEMENTIA AND OVER 69 00:02:38,976 --> 00:02:39,977 TIME HOW THE CLINICAL TRIALS 70 00:02:39,977 --> 00:02:41,311 HAVE GROWN AND MORE IMPORTANTLY 71 00:02:41,311 --> 00:02:43,113 HOW WE LEARN ABOUT THE DIVERSITY 72 00:02:43,113 --> 00:02:44,715 OF THESE TRIALS HAS INCREASED. 73 00:02:44,715 --> 00:02:46,650 SO WE LOOK JUST AT THE BOTTOM 74 00:02:46,650 --> 00:02:47,818 LINE, 2023, LAST YEAR FOR WHICH 75 00:02:47,818 --> 00:02:50,187 WE HAVE THE COMPLETE DATA YOU 76 00:02:50,187 --> 00:02:53,257 CAN SEE FIRST TO THE RIGHT, THE 77 00:02:53,257 --> 00:02:56,527 LARGEST SIDE OF THE BAR, IS THE 78 00:02:56,527 --> 00:02:57,327 NONPHARMAICOLOGGIC TRIAL, SO 79 00:02:57,327 --> 00:02:59,763 MORE FARM THAN FARM IN THE 80 00:02:59,763 --> 00:03:03,267 COMBINATION OF TREATMENT AND 81 00:03:03,267 --> 00:03:03,867 PREVENTIVE CLINICAL TRIALS. 82 00:03:03,867 --> 00:03:05,569 AND THEN TO THE PHARMAICOLOGGIC 83 00:03:05,569 --> 00:03:09,139 TRIALS ON THE LEFT, THE GREENS, 84 00:03:09,139 --> 00:03:11,942 ARE THE NONAMYLOID AND THE BLUE 85 00:03:11,942 --> 00:03:13,544 AMYLOID SO ALTHOUGH AMYLOID 86 00:03:13,544 --> 00:03:16,313 REMAINS AN IMPORTANT TARGET, WAS 87 00:03:16,313 --> 00:03:17,614 VERY MUCH THE FIRST 88 00:03:17,614 --> 00:03:21,118 HISTORICALLY, WE LEARNED SO MUCH 89 00:03:21,118 --> 00:03:22,586 MORE ABOUT THE HETEROGENEITY IN 90 00:03:22,586 --> 00:03:24,922 THE BRAIN, NEW TARGETS AND 91 00:03:24,922 --> 00:03:27,091 CONTINUE TO DIVERSIFY OUR 92 00:03:27,091 --> 00:03:29,560 PORTFOLIO SO THAT IN 2023, ON 93 00:03:29,560 --> 00:03:32,296 ONLY 15% IN FACT WERE TARGETING 94 00:03:32,296 --> 00:03:33,097 AMYLOID AND POINT THIS OUT TO 95 00:03:33,097 --> 00:03:35,299 ALL OF YOU TO STRESS HOW MUCH 96 00:03:35,299 --> 00:03:36,834 WE'RE GRATEFUL FOR THE WAY IN 97 00:03:36,834 --> 00:03:38,001 WHICH INVESTMENT IN RESEARCH HAS 98 00:03:38,001 --> 00:03:40,537 LED TO US, NOW IS BEING 99 00:03:40,537 --> 00:03:41,605 TRANSLATED INTO CLINICAL 100 00:03:41,605 --> 00:03:43,307 INTERVENTIONS TARGETING MANY OF 101 00:03:43,307 --> 00:03:47,144 THE PROCEEDS INVOLVED IN 102 00:03:47,144 --> 00:03:50,214 ALZHEIMER'S AND RELATED 103 00:03:50,214 --> 00:03:51,248 DEMENTIAS. 104 00:03:51,248 --> 00:03:53,417 NEXT PLEASE. 105 00:03:53,417 --> 00:03:56,120 CONGRESS ASKED US, NIA AND NINDS 106 00:03:56,120 --> 00:03:57,488 TO COMMISSION THE NATIONAL 107 00:03:57,488 --> 00:04:00,390 ACADEMIES TO CARRY OUT A STUDY 108 00:04:00,390 --> 00:04:05,662 OF THE PRIORITIES FOR PREVENTING 109 00:04:05,662 --> 00:04:07,764 AND TREATING AD-ADRD, AND 110 00:04:07,764 --> 00:04:08,398 ALZHEIMER DEMENTIAS AND COMING 111 00:04:08,398 --> 00:04:10,334 FROM THIS WAS A LIST OF 112 00:04:10,334 --> 00:04:12,202 SUGGIESTED PRIORITIES, WE CREDIT 113 00:04:12,202 --> 00:04:13,270 THE WORK ENORMOUSLY THAT WAS 114 00:04:13,270 --> 00:04:15,172 DONE BY A VERY, VERY WELL 115 00:04:15,172 --> 00:04:17,641 INFORMED AND EXPERT PANEL, 116 00:04:17,641 --> 00:04:18,375 RESULTS RELEASED DECEMBER AND 117 00:04:18,375 --> 00:04:19,776 WE'RE STILL IN THE PROCESS OF 118 00:04:19,776 --> 00:04:20,711 WORKING THROUGH AND TRANSLATING 119 00:04:20,711 --> 00:04:23,447 THEM INTO PART OF OUR PLANNING 120 00:04:23,447 --> 00:04:27,084 PROCESS, AND PRIORITY SETTING. 121 00:04:27,084 --> 00:04:27,618 NEXT SLIDE, PLEASE. 122 00:04:27,618 --> 00:04:30,154 THIS IS A LIST OF THE 5 123 00:04:30,154 --> 00:04:33,323 STRATEGIES THAT WERE 124 00:04:33,323 --> 00:04:34,591 RECOMMENDED: INHANSING 125 00:04:34,591 --> 00:04:35,425 LONGITUDINAL STUDIES, AND THIS 126 00:04:35,425 --> 00:04:37,227 HAS BEEN AND CONTINUES TO BE AN 127 00:04:37,227 --> 00:04:40,564 IMPORTANT AREA OF WHAT WE DO. 128 00:04:40,564 --> 00:04:41,999 ENABLING MULTIDISCIPLINARY 129 00:04:41,999 --> 00:04:42,566 COLLABORATIVE RESEARCH 130 00:04:42,566 --> 00:04:43,567 INCREASINGLY INVOLVING THE 131 00:04:43,567 --> 00:04:46,103 SPECTRUM FROM MOLECULAR AND 132 00:04:46,103 --> 00:04:47,704 GENETIC OMICS THROUGH 133 00:04:47,704 --> 00:04:49,673 ENVIRONMENTAL EXPOSEDDURES AND 134 00:04:49,673 --> 00:04:51,642 CLINICAL RESEARCH, FOSTERING 135 00:04:51,642 --> 00:04:53,043 INCLUSIVE WERE, NOTABLY DIRECTED 136 00:04:53,043 --> 00:04:54,611 AT THOSE POPULATIONS WHO ARE AT 137 00:04:54,611 --> 00:04:57,915 RISK FOR DISEASE THAT OCCUR WITH 138 00:04:57,915 --> 00:05:01,285 AGING AND WITH AD AND ADRD, AND 139 00:05:01,285 --> 00:05:02,920 INCREASING ACCEPTABLE AND 140 00:05:02,920 --> 00:05:04,188 USABILITY OF BIOLOGICAL SAMPLES, 141 00:05:04,188 --> 00:05:05,822 GREAT PROGRESS HERE BUT STILL TO 142 00:05:05,822 --> 00:05:06,990 BE OPEN SCIENCE AND THE SHARING 143 00:05:06,990 --> 00:05:08,892 OF INFORMATION HAS BEEN A LARGE 144 00:05:08,892 --> 00:05:09,960 COMPONENT OF WHAT'S RESPONSIBLE 145 00:05:09,960 --> 00:05:12,829 FOR THE PROGRESS WE HAVE MADE. 146 00:05:12,829 --> 00:05:19,269 AND THEN CATALYZING 147 00:05:19,269 --> 00:05:22,005 TRANSFORMATIONAL CHARGE THROUGH 148 00:05:22,005 --> 00:05:23,874 INNOVATIVE AD/ADRD RESEARCH, AND 149 00:05:23,874 --> 00:05:25,475 WHAT WE'VE BEEN DOING IS 150 00:05:25,475 --> 00:05:27,544 POINTING TO THE INDIVIDUAL 151 00:05:27,544 --> 00:05:29,079 CAUSES OF DEMENTIA DEFINED 152 00:05:29,079 --> 00:05:30,147 CLINICALLY, THERE ARE LIKELY TO 153 00:05:30,147 --> 00:05:31,381 BE AND THERE'S EVIDENCE THAT 154 00:05:31,381 --> 00:05:34,051 THERE ARE COMMON MECHANISMS FOR 155 00:05:34,051 --> 00:05:35,352 THE EDITION AND ECTOMYOSIN 156 00:05:35,352 --> 00:05:36,386 DOCTORING OUR TRANSLATIONAL 157 00:05:36,386 --> 00:05:37,821 EFFORTS AND INDIVIDUAL DEMENTIAS 158 00:05:37,821 --> 00:05:39,856 TARGETING SOME OF THOSE THAT 159 00:05:39,856 --> 00:05:41,458 EVOLVE BOTH THE UPSTREAM AND 160 00:05:41,458 --> 00:05:43,193 DOWN STREAM COMMON FACTORS FOR 161 00:05:43,193 --> 00:05:50,567 THE MULTIPLE CAUSES OF DEMENTIA 162 00:05:50,567 --> 00:05:51,268 NEXT PLEASE. 163 00:05:51,268 --> 00:05:53,203 I WANT TO ANNOUNCE THAT THE 164 00:05:53,203 --> 00:05:54,571 BUTLER SCHOLAR PROGRAM WILL 165 00:05:54,571 --> 00:05:56,006 CONTINUE DESPITE ALL THE CHANGES 166 00:05:56,006 --> 00:05:56,773 THAT ARE OCCURRING. 167 00:05:56,773 --> 00:06:02,112 WE WILL HOLD THIS 168 00:06:02,112 --> 00:06:03,513 AUGUST 25th-27th 2025, THE 169 00:06:03,513 --> 00:06:04,681 ELIGIBLE CRITERIA, I THINK MANY 170 00:06:04,681 --> 00:06:07,284 OF YOU ARE AWARE OF WERE PASSED 171 00:06:07,284 --> 00:06:09,319 THE DEADLINES NOW BUT WE'RE 172 00:06:09,319 --> 00:06:11,121 CONTINUE THIS 1 OF THE IMPORTANT 173 00:06:11,121 --> 00:06:12,956 MECHANISMS FOR BRINGING JUNIOR 174 00:06:12,956 --> 00:06:14,458 FACULTY, RESEARCHERS NEW TO THE 175 00:06:14,458 --> 00:06:17,594 FIELD, AND WILL CONTINUE TO 176 00:06:17,594 --> 00:06:19,596 PROVIDE UPDATES ABOUT DATES FOR 177 00:06:19,596 --> 00:06:22,266 THE FORTH COMING 1S, HIGHLY 178 00:06:22,266 --> 00:06:23,200 COMPETITIVE, NOT EVERYONE 179 00:06:23,200 --> 00:06:25,035 APPLIES AS A SLIDE BUT WE WILL 180 00:06:25,035 --> 00:06:25,902 BE CHARGING THOSE THAT DON'T 181 00:06:25,902 --> 00:06:28,071 MAKE IT THIS YEAR TO COME BACK 182 00:06:28,071 --> 00:06:30,407 FOR NEXT, STAY TUNED FOR THE 183 00:06:30,407 --> 00:06:32,109 ANNOUNCEMENTS, WHEN WE SELECT 184 00:06:32,109 --> 00:06:35,379 WHO WILL BE OUR CLASS FOR 2025, 185 00:06:35,379 --> 00:06:38,348 AND THANK YOU IN ADVANCE AND IN 186 00:06:38,348 --> 00:06:40,450 RETROSPECT FOR ALL OF YOU, OUR 187 00:06:40,450 --> 00:06:41,718 COUNCIL MEMBERS AND OTHERS IN 188 00:06:41,718 --> 00:06:43,420 THE COMMUNITY WHO PLAYED AN 189 00:06:43,420 --> 00:06:45,355 IMPORTANT ROLE AS THE FACULTY 190 00:06:45,355 --> 00:06:49,459 FOR IN IMPORTANT ENTERPRISE. 191 00:06:49,459 --> 00:06:50,661 NEXT PLEASE. 192 00:06:50,661 --> 00:06:52,429 SINCE DECEMBER, LAST COUNCIL 193 00:06:52,429 --> 00:06:55,232 MEETING THEN, WE'VE RELEASED 194 00:06:55,232 --> 00:06:57,601 SOME 34 WERE HIGHLIGHTS, 195 00:06:57,601 --> 00:06:58,835 PUBLICATIONS, 17 BLOGS AND A 196 00:06:58,835 --> 00:06:59,936 NUMBER OF ANNOUNCEMENTS HERE SO 197 00:06:59,936 --> 00:07:01,305 CONTINUING TO SHARE WITH THE 198 00:07:01,305 --> 00:07:03,040 PUBLIC IN VARIOUS AUDIENCES, THE 199 00:07:03,040 --> 00:07:04,574 PROGRESS THAT'S BEEN MADE IN THE 200 00:07:04,574 --> 00:07:09,946 AREAS SUPPORTED BY NIA. 201 00:07:09,946 --> 00:07:11,281 NEXT PLEASE. 202 00:07:11,281 --> 00:07:12,916 SINCE SEPTEMBER, WE AND STAFF 203 00:07:12,916 --> 00:07:15,052 HAVE PARTICIPATE INDEED A NUMBER 204 00:07:15,052 --> 00:07:17,187 OF MEETINGS WITH ADVOCACY 205 00:07:17,187 --> 00:07:18,889 GROUPS, 1 CONGRESSIONAL STAFF 206 00:07:18,889 --> 00:07:20,857 VISIT, NUMBER OF BRIEFINGS AND 207 00:07:20,857 --> 00:07:24,661 HEARINGS AND A VARIETY OF TOPICS 208 00:07:24,661 --> 00:07:26,596 AROWNT DEMENTIAS, IMMUNO 209 00:07:26,596 --> 00:07:30,300 SENESCENCE, HEALTHY AGE NOTHING 210 00:07:30,300 --> 00:07:32,002 GENERAL. 211 00:07:32,002 --> 00:07:32,669 NEXT PLEASE. 212 00:07:32,669 --> 00:07:34,538 ONE ANNOUNCEMENT SOMEONE WHO IN 213 00:07:34,538 --> 00:07:41,645 PARTICULAR OUR COUNCIL MEMBERS 214 00:07:41,645 --> 00:07:43,280 NO SO WELL, WHO HAS BEEN THE 215 00:07:43,280 --> 00:07:45,582 FACE OF OUR COUNCIL AND DEPUTY 216 00:07:45,582 --> 00:07:47,084 DIRECTOR FOR OUR EXTRAMURAL 217 00:07:47,084 --> 00:07:48,719 ACTIVITIES SERVED WELL SINCE 218 00:07:48,719 --> 00:07:52,189 2006 WHEN HE FIRST JOINED NIA, 219 00:07:52,189 --> 00:07:54,157 HE ANSWERED THE CALL FROM 1 OF 220 00:07:54,157 --> 00:07:56,526 OUR SISTER INSTITUTES THE NIDCR, 221 00:07:56,526 --> 00:07:59,196 DIVISION OF DENTAL AND 222 00:07:59,196 --> 00:08:01,198 CRANIOFACIAL RESEARCH WHO WILL 223 00:08:01,198 --> 00:08:04,968 NOW HAVE BENEFIT OF HIS CAPACITY 224 00:08:04,968 --> 00:08:07,337 ON DETAIL INITIALLY AS THE 225 00:08:07,337 --> 00:08:10,674 ACTING DIRECTOR OF DIA, SO HE 226 00:08:10,674 --> 00:08:11,708 STEPPED UP RECOGNIZING 227 00:08:11,708 --> 00:08:13,210 LEADERSHIP HE EXPRESSED HERE AND 228 00:08:13,210 --> 00:08:14,711 OPPORTUNITY TO EXPAND THOSE IN 229 00:08:14,711 --> 00:08:16,279 THE FUTURE AND HOPING OUR PATHS 230 00:08:16,279 --> 00:08:20,117 WILL CONTINUE TO CROSS WITH 231 00:08:20,117 --> 00:08:21,651 SANOJ, AND SO THANK YOU, THANK 232 00:08:21,651 --> 00:08:23,887 YOU ON BEHALF OF COUNCIL 233 00:08:23,887 --> 00:08:25,288 MEMBERS, MANY OF THEM EXPRESSED 234 00:08:25,288 --> 00:08:27,057 THEIR THANKS TO YOU ALREADY, I 235 00:08:27,057 --> 00:08:27,524 KNOW. 236 00:08:27,524 --> 00:08:29,793 NEXT PLEASE, AND FINALLY THANKS 237 00:08:29,793 --> 00:08:31,395 FOR YOUR ATTENTION THROUGH THIS 238 00:08:31,395 --> 00:08:33,230 BRIEF OVERVIEW AND AN 239 00:08:33,230 --> 00:08:34,197 OPPORTUNITY NOW TO DISCUSS 240 00:08:34,197 --> 00:08:35,899 QUESTIONS YOU MAY HAVE OR ANY 241 00:08:35,899 --> 00:08:37,100 FURTHER COMMENTS YOU WOULD LIKE 242 00:08:37,100 --> 00:08:39,836 TO MAKE. 243 00:08:39,836 --> 00:08:41,037 THANK YOU. 244 00:08:41,037 --> 00:08:43,140 >> GREAT, THANK YOU VERY MUCH, 245 00:08:43,140 --> 00:08:44,474 RICHARD. 246 00:08:44,474 --> 00:08:44,741 QUESTIONS? 247 00:08:44,741 --> 00:08:48,011 DARREN, START US OFF? 248 00:08:48,011 --> 00:08:49,379 >> THANK FORS THAT, QUESTION I 249 00:08:49,379 --> 00:08:54,151 HAD WAS A AMOUNT OF NARM 250 00:08:54,151 --> 00:08:57,621 PHARMAICOLOGICAL TRIALS IS THAT 251 00:08:57,621 --> 00:09:00,957 DUE THE DUE TO TEMPERING OF 252 00:09:00,957 --> 00:09:01,591 EXCITEMENT FROM PHARMACEUTICAL 253 00:09:01,591 --> 00:09:02,726 COMPANIES IN THE SPACE OR IS IT 254 00:09:02,726 --> 00:09:03,894 THAT WE'RE JUST TRYING TO LOOK 255 00:09:03,894 --> 00:09:07,364 AT IT IN DIFFERENT WAYS, WHAT 256 00:09:07,364 --> 00:09:08,298 ARE THESE NONPHARMAICOLOG 257 00:09:08,298 --> 00:09:09,900 KALGARY INTERVENTIONS THAT ARE 258 00:09:09,900 --> 00:09:12,035 PRIMARILY BEING DRIVEN RIGHT NOW 259 00:09:12,035 --> 00:09:14,004 NGREAT QUESTION, I THINK IT DOES 260 00:09:14,004 --> 00:09:16,406 NOT REFLECT ANY DECREASE IN 261 00:09:16,406 --> 00:09:19,009 COMMITMENT TOWARDS THE 262 00:09:19,009 --> 00:09:20,010 PHARMAICOLOGGIC IT'S RATHER BEEN 263 00:09:20,010 --> 00:09:21,778 AN EXPANSION OF THE 264 00:09:21,778 --> 00:09:22,979 NONPHARMAICOLOGGIC AND IN 265 00:09:22,979 --> 00:09:24,347 GENERAL, NOT COMPLETELY UNIFORM, 266 00:09:24,347 --> 00:09:30,921 MUCH OF THE THE 267 00:09:30,921 --> 00:09:33,557 NONPHARMAICOLOGGIC IN PREVENT. 268 00:09:33,557 --> 00:09:35,091 AND WE CAN SHARE THE DETAILS IN 269 00:09:35,091 --> 00:09:36,760 THIS SLIDE BUT THE VARIETY OF 270 00:09:36,760 --> 00:09:38,261 TARGETS JUST AS THEY ARE NOW 271 00:09:38,261 --> 00:09:44,034 MORE AND MORE DIVERSE FOR THE 272 00:09:44,034 --> 00:09:46,603 PHARMAICOLOGGIC INTERVENTIONS 273 00:09:46,603 --> 00:09:49,606 ARE EQUALLY DIVERSE FOR 274 00:09:49,606 --> 00:09:51,308 NONPHARMAICOLOGGIC SO THEY 275 00:09:51,308 --> 00:09:53,109 INCLUDE EXERCISE, BLOOD PRESSURE 276 00:09:53,109 --> 00:09:53,777 CONTROL, TARGETED INDIVIDUALIZED 277 00:09:53,777 --> 00:09:55,111 APPROACH TO THE RISK FACTORS OF 278 00:09:55,111 --> 00:09:56,279 EACH INDIVIDUAL AND I THINK IN 279 00:09:56,279 --> 00:09:59,716 THE END WE'RE RECOGNIZE THE 280 00:09:59,716 --> 00:10:00,750 COMBINATIONS OF THESE 281 00:10:00,750 --> 00:10:03,520 NONPHARMAICOLOGGIC AS WELL AS 282 00:10:03,520 --> 00:10:04,221 PHARMAICOLOGGIC INTERVENTIONS SO 283 00:10:04,221 --> 00:10:06,289 IT'S A PLUS RATHER THAN A LOSS 284 00:10:06,289 --> 00:10:08,925 OF ENTHUSIASM OR COMMITMENT TO 285 00:10:08,925 --> 00:10:09,559 THE PHARMAICOLOGGICS WHICH I 286 00:10:09,559 --> 00:10:11,394 THINK HAS NOT BEEN THE CASE. 287 00:10:11,394 --> 00:10:13,597 SO IT'S ALL -- THE BASIC 288 00:10:13,597 --> 00:10:14,531 RESEARCH, BOTH BEHAVIORIAL, 289 00:10:14,531 --> 00:10:16,399 SOCIAL, AS WELL AS MOLECULAR IS 290 00:10:16,399 --> 00:10:18,401 LEADING TO SUCH A DIVERSITY OF 291 00:10:18,401 --> 00:10:20,036 POTENTIAL TARGETS THAT THIS IS 292 00:10:20,036 --> 00:10:22,239 WHAT IS LARNLLY BEHIND THE 293 00:10:22,239 --> 00:10:24,908 EXPANSION WE'RE SEEING OF BOTH 294 00:10:24,908 --> 00:10:25,442 CATEGORIES. 295 00:10:25,442 --> 00:10:33,083 >> MAKES SENSE, THANKS. 296 00:10:33,083 --> 00:10:42,359 >> OTHER QUESTIONS? 297 00:10:42,359 --> 00:10:44,794 SANJAY, IF YOU WERE ON MUTE? 298 00:10:44,794 --> 00:10:46,830 >> YES, SORRY ABOUT THAT. 299 00:10:46,830 --> 00:10:51,201 JUST A COMMENT, DR. HODES 300 00:10:51,201 --> 00:10:52,802 MENTIONED EXPANSION OF 301 00:10:52,802 --> 00:10:53,737 NONPHARMAICOLOGICAL TRIALS, I 302 00:10:53,737 --> 00:10:54,571 WOULD ANTICIPATE THAT MOVING 303 00:10:54,571 --> 00:10:56,540 FORWARD WE WILL HAVE MORE 304 00:10:56,540 --> 00:10:59,743 COMBINATION TREATMENT FILES, BOG 305 00:10:59,743 --> 00:11:00,777 PHARMAICOLOGICAL AND 306 00:11:00,777 --> 00:11:01,344 NONPHARMAICOLOGICAL TRIALS 307 00:11:01,344 --> 00:11:03,346 TOGETHER AND U.S. POINTER IS A 308 00:11:03,346 --> 00:11:04,481 PRIME EXAMPLE BUT I THINK THERE 309 00:11:04,481 --> 00:11:06,216 WILL BE MANY MORE TRIALS OF THAT 310 00:11:06,216 --> 00:11:07,984 NATURE BECAUSE THAT IS WHAT THE 311 00:11:07,984 --> 00:11:10,754 FIELD NEEDS IS THE COMBINATION 312 00:11:10,754 --> 00:11:11,688 TREATMENT TRIAL, EVENTUALLY 313 00:11:11,688 --> 00:11:12,822 TARGETING MOST OF THE MAJOR 314 00:11:12,822 --> 00:11:15,625 PATHOLOGIES OF THE DISEASE. 315 00:11:15,625 --> 00:11:17,727 >> POINT WELL TAKEN SANJAY, AND 316 00:11:17,727 --> 00:11:22,632 WE ARE SEEING SOME COMBINATION 317 00:11:22,632 --> 00:11:24,734 FARM, COME BINNATION NONFARM AND 318 00:11:24,734 --> 00:11:25,235 COMBINATION OF THOSE 2 319 00:11:25,235 --> 00:11:30,206 CATEGORIES IS A PART OF FUTURE 320 00:11:30,206 --> 00:11:34,844 EMPHASIS. 321 00:11:34,844 --> 00:11:35,111 >> YEAH. 322 00:11:35,111 --> 00:11:42,218 OTHER COMMENTS OR QUESTIONS? 323 00:11:42,218 --> 00:11:44,120 ALL RIGHT, VERY GOOD, THANK YOU. 324 00:11:44,120 --> 00:11:51,962 AND THANK YOU DR. HODES. 325 00:11:51,962 --> 00:11:53,797 NEXT UP I WOULD LIKE TO DO JUST 326 00:11:53,797 --> 00:11:57,200 A QUICK ROLL CALL IF WE COULD IF 327 00:11:57,200 --> 00:11:58,868 ONCE I CALL OUT YOUR NAME IF YOU 328 00:11:58,868 --> 00:12:07,043 COULD JUST GIVE US YOUR AGAIN 329 00:12:07,043 --> 00:12:08,411 NAME AND AFFILIATION. 330 00:12:08,411 --> 00:12:09,346 ONE SECOND. 331 00:12:09,346 --> 00:12:19,723 I'M SORRY, HERE WE GO. 332 00:12:29,132 --> 00:12:30,266 ALL RIGHT AGAIN ONCE I CALL YOUR 333 00:12:30,266 --> 00:12:32,569 NAME IF YOU CAN GIVE YOUR NAME 334 00:12:32,569 --> 00:12:34,504 AND AFFILIATION, WE WILL GO 335 00:12:34,504 --> 00:12:35,538 THROUGH THAT. 336 00:12:35,538 --> 00:12:39,676 NFIRST OFF DR. ASTANA,. 337 00:12:39,676 --> 00:12:41,311 >> GOOD MORNING SANJAY ASTANA 338 00:12:41,311 --> 00:12:44,381 FROM THE UNIVERSITY OF WISCONSIN 339 00:12:44,381 --> 00:12:46,282 MADISON. 340 00:12:46,282 --> 00:12:46,650 >> DR. BAKER. 341 00:12:46,650 --> 00:12:48,184 >> DARREN BAKER, MAYO CLINIC IN 342 00:12:48,184 --> 00:12:53,923 ROUGH ATOM CHESTER, MINNESOTA. 343 00:12:53,923 --> 00:12:54,958 >> DR. SOLOBERTO. 344 00:12:54,958 --> 00:12:57,494 >> GOOD MORNING FAMILY 345 00:12:57,494 --> 00:12:58,695 REPRESENTATIVE ADVOCATE, 346 00:12:58,695 --> 00:13:00,230 RESEARCH PARTICIPANT, ALL OF 347 00:13:00,230 --> 00:13:00,430 THAT. 348 00:13:00,430 --> 00:13:05,635 GOOD TO BE HERE. 349 00:13:05,635 --> 00:13:06,436 >> THANK YOU. 350 00:13:06,436 --> 00:13:07,937 DR. CRUZ WHO IS THE PRESIDENT 351 00:13:07,937 --> 00:13:10,607 AND CEO OF THE NATIONAL HISPANIC 352 00:13:10,607 --> 00:13:12,876 COUNCIL ON AGING HERE IN 353 00:13:12,876 --> 00:13:15,979 WASHINGTON IS NOT ABLE TO JOAN 354 00:13:15,979 --> 00:13:17,681 US TODAY. 355 00:13:17,681 --> 00:13:26,456 NEXT IS DR. GREENSPAN. 356 00:13:26,456 --> 00:13:26,956 >> HI, SUSAN GREENSPAN 357 00:13:26,956 --> 00:13:30,493 UNIVERSITY OF PII SYSTEMS 358 00:13:30,493 --> 00:13:31,027 PITTSBURGH. 359 00:13:31,027 --> 00:13:31,394 >> DR. WONG. 360 00:13:31,394 --> 00:13:35,965 >> YEAH DR. WONG FROM UCSF. 361 00:13:35,965 --> 00:13:39,669 >> AND REVERENT DR. CYNTHIA 362 00:13:39,669 --> 00:13:43,773 HUMLE NI'M CYNTHIA HUMLE RETIRED 363 00:13:43,773 --> 00:13:45,842 PRESBYTERIAN PASTOR LIVING WITH 364 00:13:45,842 --> 00:13:48,244 EARLY STAGE ALZHEIMER'S DISEASE 365 00:13:48,244 --> 00:13:50,213 AND REPRESENTING THOSE LIVING 366 00:13:50,213 --> 00:13:52,549 WITH ALZHEIMER AND RELATED 367 00:13:52,549 --> 00:13:56,186 DEMENTIA, I'VE BEEN ON THE ADNY 368 00:13:56,186 --> 00:13:58,788 SINCE 2010 AND I ALSO SERVE ON 369 00:13:58,788 --> 00:14:01,224 THE ALZHEIMER'S RESEARCH 370 00:14:01,224 --> 00:14:01,591 ADVISORY BOARD. 371 00:14:01,591 --> 00:14:02,392 >> THANK YOU. 372 00:14:02,392 --> 00:14:05,795 DR. NELSON CEASARY. 373 00:14:05,795 --> 00:14:08,098 >> YES, HI, SHERON NOWAY, 374 00:14:08,098 --> 00:14:09,733 HARVARD MEDICAL COOL AND SENIOR 375 00:14:09,733 --> 00:14:09,933 LIFE. 376 00:14:09,933 --> 00:14:12,368 THANK YOU. 377 00:14:12,368 --> 00:14:16,239 >> AND DR. KAHN. 378 00:14:16,239 --> 00:14:19,309 >> DR. KAHN, HEALTH RESEARCH AT 379 00:14:19,309 --> 00:14:22,278 CHEROKEE NATION IN NORTHEAST 380 00:14:22,278 --> 00:14:24,714 OKLAHOMA. 381 00:14:24,714 --> 00:14:26,716 >> DR. LANGUAGE ONG O. 382 00:14:26,716 --> 00:14:28,351 >> HI, DR. LONG O, STANFORD 383 00:14:28,351 --> 00:14:33,990 UNIVERSITY SCHOOL OF MEDICINE. 384 00:14:33,990 --> 00:14:35,091 >> NANCY LUNDEN BERG. 385 00:14:35,091 --> 00:14:36,860 >> NANCY LUND BERG AMERICAN 386 00:14:36,860 --> 00:14:37,861 GERIATRIC SOCIETY LOCATED IN A 387 00:14:37,861 --> 00:14:45,001 VERY COLD AND RAINY NEW YORK 388 00:14:45,001 --> 00:14:45,635 CITY TODAY. 389 00:14:45,635 --> 00:14:48,004 >> NOT COLD BUT RAINY HERE, TOO. 390 00:14:48,004 --> 00:14:58,381 LET'S SEE DR. RUBEN. 391 00:14:59,816 --> 00:15:04,154 >> DAVE, YOU'RE MUTED. 392 00:15:04,154 --> 00:15:06,089 >> DAVE RUBEN, DAVID GEFIN 393 00:15:06,089 --> 00:15:11,728 SCHOOL OF MEDICINE AT UCLA. 394 00:15:11,728 --> 00:15:15,365 >> THANK YOU. 395 00:15:15,365 --> 00:15:16,065 DR. SNYDER. 396 00:15:16,065 --> 00:15:17,734 DR. SNYDER WILL JOIN US SOON, 397 00:15:17,734 --> 00:15:19,636 DR. JULIE NIGHEDDER IS THE 398 00:15:19,636 --> 00:15:23,039 PROFESSOR AND DIRECTOR OF THE 399 00:15:23,039 --> 00:15:24,908 RUSH UNIVERSITY MEDICAL CENTER, 400 00:15:24,908 --> 00:15:27,443 THE RUSH ALZHEIMER'S DISEASE 401 00:15:27,443 --> 00:15:28,211 CENTER. 402 00:15:28,211 --> 00:15:32,982 LET'S SEE AND DR. VANALDING. 403 00:15:32,982 --> 00:15:35,385 >> I'M LINDA VAN ALDING, AT THE 404 00:15:35,385 --> 00:15:36,886 UNIVERSITY CENTER ON AGING AT 405 00:15:36,886 --> 00:15:42,625 THE UNIVERSITY OF KENTUCKY. 406 00:15:42,625 --> 00:15:50,066 >> AND I DON'T SEE OUR ADHOC 407 00:15:50,066 --> 00:15:52,902 MEMBERS, DR. RADA, IS SHE HERE. 408 00:15:52,902 --> 00:15:53,403 >> YES. 409 00:15:53,403 --> 00:15:54,871 >> YES, I'M HERE. 410 00:15:54,871 --> 00:15:57,273 >> GOOD MORNING EVERYBODY, I'M 411 00:15:57,273 --> 00:15:59,008 DR. RADA, OOSM THE PROJECT 412 00:15:59,008 --> 00:16:00,944 OFFICER AT THE NATIONAL 413 00:16:00,944 --> 00:16:02,979 INSTITUTE ON DISABILITY AND 414 00:16:02,979 --> 00:16:04,013 DEPENDENCE LIVING AND 415 00:16:04,013 --> 00:16:07,083 REHABILITATION RESEARCH HERE IN 416 00:16:07,083 --> 00:16:09,152 WASHINGTON D. C. 417 00:16:09,152 --> 00:16:16,659 >> THANK YOU RADA. 418 00:16:16,659 --> 00:16:17,527 >> AND JONATHAN WESTON. 419 00:16:17,527 --> 00:16:20,230 SO DR. WESTON HE IS WITH THE 420 00:16:20,230 --> 00:16:21,965 AGING SERVICES PROGRAM AT THE 421 00:16:21,965 --> 00:16:23,499 OFFICE OF SUPPORTIVE AND CARE 422 00:16:23,499 --> 00:16:24,801 GIVING SERVICES IN THE U.S. 423 00:16:24,801 --> 00:16:27,003 DEPARTMENT OF HELT AND HUMAN 424 00:16:27,003 --> 00:16:31,641 RESOURCES WHO IS ALSO 1 OF OUR 425 00:16:31,641 --> 00:16:32,475 EXOFFICIO MEMBERS. 426 00:16:32,475 --> 00:16:37,513 SO WITH THAT, WE WILL CAN MOVE 427 00:16:37,513 --> 00:16:39,816 ON SO YESTERDAY, WE HAD A 428 00:16:39,816 --> 00:16:43,353 WORKING GROUP ON PROGRAM IN 429 00:16:43,353 --> 00:16:46,923 WHICH WE HAD 2 CONCEPTS THAT WAS 430 00:16:46,923 --> 00:16:48,191 DISCUSSED BY OUR COUNCIL MEMBERS 431 00:16:48,191 --> 00:16:52,595 SO I WILL TURN IT OVER TO OUR 432 00:16:52,595 --> 00:16:58,301 CHAIR DR. SUSAN GREENSPAN, 433 00:16:58,301 --> 00:16:58,801 SUSAN? 434 00:16:58,801 --> 00:17:00,136 >> THANK YOU KEN. 435 00:17:00,136 --> 00:17:01,871 WE DID DISCUSS 2 CONCEPTS ISSUES 436 00:17:01,871 --> 00:17:05,942 THE FIRST CONCEPT IS TITLED NIA 437 00:17:05,942 --> 00:17:07,443 AGED RODENT TISSUE BANK. 438 00:17:07,443 --> 00:17:10,046 THIS IS A CONTRACT RENEWAL, THE 439 00:17:10,046 --> 00:17:11,648 PRIMARY REVIEWER WAS DR. ROSA 440 00:17:11,648 --> 00:17:13,683 BAKER, I WAS THE SECONDARY 441 00:17:13,683 --> 00:17:14,951 REVIEWER AND IF WE WILL JUST 442 00:17:14,951 --> 00:17:16,819 HAVE THE PRIMARY AREY VOWER 443 00:17:16,819 --> 00:17:18,554 DR. BAKER, IF YOU COULD PLEASE 444 00:17:18,554 --> 00:17:22,859 SUMMARIZE THE CONCEPT AND 445 00:17:22,859 --> 00:17:23,159 DISCUSSION. 446 00:17:23,159 --> 00:17:24,894 , SURE. 447 00:17:24,894 --> 00:17:25,995 SO THIS CONCEPT RENEWAL IS A 448 00:17:25,995 --> 00:17:27,697 PROGRAM FOR THE AGE RELATED 449 00:17:27,697 --> 00:17:28,598 TISSUE BANK THAT WAS ESTABLISHED 450 00:17:28,598 --> 00:17:30,700 ALL THE WAY BACK IN 2001, 451 00:17:30,700 --> 00:17:31,968 BASICALLY WITH THE INTENTION OF 452 00:17:31,968 --> 00:17:34,037 BEING ABLE TO PROVIDE TISSUE 453 00:17:34,037 --> 00:17:36,973 SERVICES FROM MOUSE MODELS OR 454 00:17:36,973 --> 00:17:38,808 RODENT MODELS FOR RESEARCHERS 455 00:17:38,808 --> 00:17:40,209 REGARD WILLLESS OF WHERE THEY 456 00:17:40,209 --> 00:17:42,345 ARE, THIS IS VERY DIFFERENT THAN 457 00:17:42,345 --> 00:17:44,280 THE AGE MOUSE REPOSITORY THAT WE 458 00:17:44,280 --> 00:17:45,748 MAYBE ARE MORE FAMILIAR WITH, 459 00:17:45,748 --> 00:17:48,618 FROM THE NIA WHERE YOU CAN 460 00:17:48,618 --> 00:17:49,886 ACQUIRE YOUR OWN 24 MONTH OLD 461 00:17:49,886 --> 00:17:51,688 ANIMALS FROM THAT PARTICULAR 462 00:17:51,688 --> 00:17:52,622 FACILITY, IN THIS CASE ISSUES 463 00:17:52,622 --> 00:17:53,990 THE TISSUES ARE DIRECTED FOR 464 00:17:53,990 --> 00:17:56,292 YOU, SO FOR MANY THINGS IT'S 465 00:17:56,292 --> 00:17:58,461 ACTUALLY MORE PROBABLY MORE 466 00:17:58,461 --> 00:17:58,962 ECONATIONAL LIBRARY OF 467 00:17:58,962 --> 00:18:00,797 MEDICINEICAL IF YOU HAVE A STAN 468 00:18:00,797 --> 00:18:02,398 ARDIZEED ASSAY YOU'RE SUING FROM 469 00:18:02,398 --> 00:18:04,033 COLLECTED TISSUE TO TAP INTO 470 00:18:04,033 --> 00:18:05,134 THIS ON TENTIAL RESOURCE, THEY 471 00:18:05,134 --> 00:18:06,536 ARE DOING A NUMBER OF THINGS 472 00:18:06,536 --> 00:18:07,570 FROM FROZEN TISSUES FROM A 473 00:18:07,570 --> 00:18:09,405 NUMBER OF DIFFERENT STRAINS 474 00:18:09,405 --> 00:18:11,674 INCLUDING OUR STANDARD MOUSE 475 00:18:11,674 --> 00:18:15,211 STRAINS OF C57 BLACK 6 MICE AND 476 00:18:15,211 --> 00:18:16,946 BALB C-MICE AND THEY ALSO HAVE 477 00:18:16,946 --> 00:18:18,915 THE FISCHER 344 AND BROWN FORWAY 478 00:18:18,915 --> 00:18:21,951 RATS AND THEIR HYBRIDS, THEY 479 00:18:21,951 --> 00:18:22,885 COLLECTED TISSUES ACROSS MANY 480 00:18:22,885 --> 00:18:24,520 DIFFERENT AGES AND IN FACT, YOU 481 00:18:24,520 --> 00:18:26,222 CAN REACH OUT TO THESE PEOPLE IF 482 00:18:26,222 --> 00:18:28,224 YOU WANT TO HAVE THEM COLLECT 483 00:18:28,224 --> 00:18:30,293 TISSUES AND KIND OF A 484 00:18:30,293 --> 00:18:32,128 NONSTANDARD WAY, SO AGAIN, AIAN 485 00:18:32,128 --> 00:18:34,664 GREAT RESOURCE FOR THE OVERALL 486 00:18:34,664 --> 00:18:35,498 COMMUNITY, THE THING THEY'RE 487 00:18:35,498 --> 00:18:37,333 PLANNING TO DO NOW IN THIS 488 00:18:37,333 --> 00:18:39,435 RENEWAL IS TO NOT ONLY CONTINUE 489 00:18:39,435 --> 00:18:40,703 THIS POTENTIAL RESOURCE AND GIVE 490 00:18:40,703 --> 00:18:43,239 A CONTINUE TO DISTRIBUTE THIS -- 491 00:18:43,239 --> 00:18:45,775 ALL OF THESE REALLY VALUABLE 492 00:18:45,775 --> 00:18:47,910 RESOURCES TO INVESTIGATORS BUT 493 00:18:47,910 --> 00:18:49,812 ALSO STARTING THE PRODUCTION OF 494 00:18:49,812 --> 00:18:51,547 WHAT'S CALLED TISSUE MICROARRAYS 495 00:18:51,547 --> 00:18:53,383 WHERE THIS IS THE IDEA WHERE YOU 496 00:18:53,383 --> 00:18:54,417 HAVE MANY DIFFERENT INDIVIDUALS 497 00:18:54,417 --> 00:18:57,153 IN 1 SMALLER LOCATION, WHICH CAN 498 00:18:57,153 --> 00:18:59,355 BE OF GREAT VALUE ESPECIALLY NOW 499 00:18:59,355 --> 00:19:00,623 WHEN WE'RE LOOKING AT SOME OF 500 00:19:00,623 --> 00:19:02,258 THE NEW TECHNIQUES AND 501 00:19:02,258 --> 00:19:04,427 TECHNOLOGIES WHERE WE'RE LOOKING 502 00:19:04,427 --> 00:19:05,361 AT MAYBE SPATIAL BIOLOGY 503 00:19:05,361 --> 00:19:07,463 APPROACHES IF YOU HAVE THESE 504 00:19:07,463 --> 00:19:09,766 TISSUE MICROARRAYS TO DO A 505 00:19:09,766 --> 00:19:11,200 REALLY THOROUGH ASSESSMENT OF 506 00:19:11,200 --> 00:19:12,435 MULTIPLE ANIMALS ON 1 SLIDE THAT 507 00:19:12,435 --> 00:19:14,437 CAN REALLY BE QUITE IMPACTFUL 508 00:19:14,437 --> 00:19:16,406 FOR UNDERSTANDING REALLY THE 509 00:19:16,406 --> 00:19:17,774 HETEROGENEITY OF AGING SO 510 00:19:17,774 --> 00:19:19,575 ULTIMATELY THIS SEEMS LIKE A 511 00:19:19,575 --> 00:19:20,943 VERY VALUABLE RESOURCE, THEY'VE 512 00:19:20,943 --> 00:19:22,779 DONE REALLY GREAT WORK AND HAVE 513 00:19:22,779 --> 00:19:24,580 BEEN A KEY PLAYER FOR MANY OF US 514 00:19:24,580 --> 00:19:27,183 OVER THE MANY LAST YEARS. 515 00:19:27,183 --> 00:19:28,251 THE DISCUSSION WAS OVERALL 516 00:19:28,251 --> 00:19:30,119 SUPPORTIVE OF THIS, AND WE WERE 517 00:19:30,119 --> 00:19:36,492 ALL COLLECTIVELY NOTING TO THEN 518 00:19:36,492 --> 00:19:36,926 RENEW THIS CONTRACT. 519 00:19:36,926 --> 00:19:38,795 >> THANK YOU VERY MUCH 520 00:19:38,795 --> 00:19:39,062 DR. BAKER. 521 00:19:39,062 --> 00:19:41,798 AND OUR SECOND CONCEPT WAS 522 00:19:41,798 --> 00:19:42,832 EXPANDING THE THERAPEUTIC 523 00:19:42,832 --> 00:19:47,804 PIPELINE FOR TREATS AND 524 00:19:47,804 --> 00:19:49,405 PREVENTING AD/ADRD PRECLINICAL 525 00:19:49,405 --> 00:19:52,408 VALDATION AND DRUG DISCOVERY FOR 526 00:19:52,408 --> 00:19:53,676 NOVEL CANDIDATES TARGETS. 527 00:19:53,676 --> 00:19:56,212 DR. LONG O WAS THE PRIMARY 528 00:19:56,212 --> 00:19:59,882 REVIEWER, AND DR. VAN ELDIK WAS 529 00:19:59,882 --> 00:20:01,084 THE SECONDARY REVIEWER AND 530 00:20:01,084 --> 00:20:03,086 DR. LONG O IF YOU CAN SUMMARIZE 531 00:20:03,086 --> 00:20:06,089 THE CONCEPT AND DISCUSSION. 532 00:20:06,089 --> 00:20:07,323 >> SURE, THANK YOU. 533 00:20:07,323 --> 00:20:08,791 SO THIS CONCEPT ADDRESSES THE 534 00:20:08,791 --> 00:20:10,026 GOAL OF CREATING A DIFFERENT 535 00:20:10,026 --> 00:20:11,461 NUMBER OF THERAPEUTICS IN THE 536 00:20:11,461 --> 00:20:12,862 PIPELINE, INCREASE IN THE 537 00:20:12,862 --> 00:20:13,763 DIVERSITY OF THERAPEUTICS AND 538 00:20:13,763 --> 00:20:17,300 WITH THE GOAL OF HAVING MORE 539 00:20:17,300 --> 00:20:18,000 EFFECTIVE THERAPEUTICS. 540 00:20:18,000 --> 00:20:20,069 SO THE AREA THIS ADDRESSES IS 541 00:20:20,069 --> 00:20:22,405 THE SETTING THAT THE NIA HAS 542 00:20:22,405 --> 00:20:24,107 CREATED GREAT PROGRAMS THAT ARE 543 00:20:24,107 --> 00:20:28,344 THE EARLY PARTS OF THE PIPELINE 544 00:20:28,344 --> 00:20:29,345 IDENTIFYING NEW THERAPEUTIC 545 00:20:29,345 --> 00:20:31,747 TARGETS TO GO AFTER THAT MIGHT 546 00:20:31,747 --> 00:20:32,915 BE HELPFUL AS THE BEGINNING OF 547 00:20:32,915 --> 00:20:34,550 THE PIPELINE AND AT THE END OF 548 00:20:34,550 --> 00:20:36,686 THE PIPELINE, THE NIA IS ALSO 549 00:20:36,686 --> 00:20:38,354 ESTABLISHED CLINICAL TRIAL 550 00:20:38,354 --> 00:20:40,556 PROGRAMS, TO TEST THOSE 551 00:20:40,556 --> 00:20:41,724 THERAPEUTICS IN PEOPLE, SO THE 552 00:20:41,724 --> 00:20:44,694 GAP THAT REMAINS TO FILL IS IN 553 00:20:44,694 --> 00:20:46,963 THE MIDDLE AS TO HAVE A PROGRAM 554 00:20:46,963 --> 00:20:49,365 THAT ALLOWS THE ABILITY TO MAKE 555 00:20:49,365 --> 00:20:52,268 THE FIRST VERSIONS OF DRUGS OR 556 00:20:52,268 --> 00:20:54,437 OTHER THERAPEUTICS COMING FROM 557 00:20:54,437 --> 00:20:56,839 THE DATA SCIENTISTS THAT ARE 558 00:20:56,839 --> 00:20:58,107 IDENTIFYING EARLY TARGETS, BUT 559 00:20:58,107 --> 00:21:00,076 THAT WOULD ALLOW THOSE IDEAS TO 560 00:21:00,076 --> 00:21:02,311 MOVE INTO THE HUMAN TRIALS. 561 00:21:02,311 --> 00:21:04,313 SO THIS PROPOSAL FILLS THAT 562 00:21:04,313 --> 00:21:06,716 CRITICAL GAP IN THE MIDDLE. 563 00:21:06,716 --> 00:21:08,484 IT ALSO APPROVES THE ABILITY OF 564 00:21:08,484 --> 00:21:11,154 PRECLINICAL TESTING TO BETTER 565 00:21:11,154 --> 00:21:13,723 PREDICT WHICH THERAPEUTICS MIGHT 566 00:21:13,723 --> 00:21:15,791 WORK IN ACTUAL PATIENTS. 567 00:21:15,791 --> 00:21:18,194 SO, THE COMMITTEE WAS 568 00:21:18,194 --> 00:21:19,328 ENTHUSIASTIC ABOUT FILLING IN 569 00:21:19,328 --> 00:21:23,933 CRITICAL GAP WITH THIS WELL 570 00:21:23,933 --> 00:21:25,067 DESIGNED PROGRAM. 571 00:21:25,067 --> 00:21:25,935 >> THANK YOU FRANK. 572 00:21:25,935 --> 00:21:27,470 SO THERE APPEARED TO BE 573 00:21:27,470 --> 00:21:29,005 ENTHUSIASM FOR MOVING BOTH OF 574 00:21:29,005 --> 00:21:31,107 THESE CONCEPTS FORWARD, SO I 575 00:21:31,107 --> 00:21:36,479 WOULD LIKE TO FOR US TO TAKE A 576 00:21:36,479 --> 00:21:41,150 VOTE, ALL THOSE THAT APPROVE THE 577 00:21:41,150 --> 00:21:44,654 CONCEPTS, PLEASE SAY AYE OR 578 00:21:44,654 --> 00:21:47,523 RAISE A HAND. 579 00:21:47,523 --> 00:21:49,892 >> AYE. 580 00:21:49,892 --> 00:21:50,726 >> ANY OPPOSED? 581 00:21:50,726 --> 00:21:52,428 SO THERE APPEARS TO BE 582 00:21:52,428 --> 00:21:53,863 ENTHUSIASM AND THE CONCEPTS HAVE 583 00:21:53,863 --> 00:21:55,765 BEEN APPROVED TO MOVE FORWARD. 584 00:21:55,765 --> 00:21:57,867 SO THIS POINT I THINK I WILL 585 00:21:57,867 --> 00:22:05,041 SEND THIS BACK TO KEN. 586 00:22:05,041 --> 00:22:05,241 GREAT. 587 00:22:05,241 --> 00:22:07,043 THANK YOU VERY MUCH SUSAN AND 588 00:22:07,043 --> 00:22:09,212 COUNCIL MEMBERS FOR REVIEWING 589 00:22:09,212 --> 00:22:13,950 AND APPROVING 2 CONCEPTS THIS 590 00:22:13,950 --> 00:22:14,150 ROUND. 591 00:22:14,150 --> 00:22:18,554 FEW OTHER POINTS I WANT TO MAKE 592 00:22:18,554 --> 00:22:20,289 AND SOME OTHER BUSINESS THAT WE 593 00:22:20,289 --> 00:22:23,893 HAVE TO REPORT TO IS OUR FIRST 594 00:22:23,893 --> 00:22:25,828 OFF THE DIRECTOR'S STATUS 595 00:22:25,828 --> 00:22:26,162 REPORT. 596 00:22:26,162 --> 00:22:30,366 THIS IS THE -- I'M SORRY AND THE 597 00:22:30,366 --> 00:22:31,867 MEETING MINUTES FROM LAST 598 00:22:31,867 --> 00:22:33,236 MEETING. 599 00:22:33,236 --> 00:22:36,072 SO WITH THAT, YOU SHOULD WITHIN 600 00:22:36,072 --> 00:22:38,708 THE ELECTRONIC COUNCIL BOOK HAVE 601 00:22:38,708 --> 00:22:42,078 THE MEETING MINUTES FROM THE 602 00:22:42,078 --> 00:22:44,113 JANUARY COUNCIL WHICH WAS 603 00:22:44,113 --> 00:22:48,150 ACTUALLY IN APRIL AND SO, IF 604 00:22:48,150 --> 00:22:50,920 THERE'S FIRST OFF ANY 605 00:22:50,920 --> 00:22:52,054 CORRECTIONS OR COMMENTS 606 00:22:52,054 --> 00:22:53,956 REGARDING THE MINUTES. 607 00:22:53,956 --> 00:22:54,890 NOT HEARING ANY, COULD I HAVE 608 00:22:54,890 --> 00:22:57,660 THEN A MOTION TO APPROVE THE 609 00:22:57,660 --> 00:23:02,365 MINUTES FROM THE LAST MEETING. 610 00:23:02,365 --> 00:23:03,399 >> MOTION TO APPROVE. 611 00:23:03,399 --> 00:23:03,966 >> SECOND. 612 00:23:03,966 --> 00:23:05,368 >> SECOND. 613 00:23:05,368 --> 00:23:08,104 >> ALL IN FAVOR? 614 00:23:08,104 --> 00:23:08,371 >> AYE. 615 00:23:08,371 --> 00:23:12,808 >> AYE . 616 00:23:12,808 --> 00:23:13,509 >> ANY OPPOSE? 617 00:23:13,509 --> 00:23:15,311 NOT HEARING ANY WE HAVE APPROVAL 618 00:23:15,311 --> 00:23:18,347 FROM THE JANUARY COUNCIL 619 00:23:18,347 --> 00:23:18,714 MEETING. 620 00:23:18,714 --> 00:23:23,986 NEXT UP TOO, THEN IS OUR UP AND 621 00:23:23,986 --> 00:23:24,520 COMING MEETINGS. 622 00:23:24,520 --> 00:23:29,325 SO IN OUR NEXT MEETING WILL BE 623 00:23:29,325 --> 00:23:30,126 SEPTEMBER 17th AND 18th, 624 00:23:30,126 --> 00:23:34,463 THIS MEETING WILL BE IN PERSON. 625 00:23:34,463 --> 00:23:36,766 AT BUILDING 45, OUR NATCHER 626 00:23:36,766 --> 00:23:38,968 BUILDING ON CAMPUS, SO, PLEASE 627 00:23:38,968 --> 00:23:40,369 MARK YOUR CALENDARS, AND THEN 628 00:23:40,369 --> 00:23:45,708 THE MEETING DATES ARE ALSO SET 629 00:23:45,708 --> 00:23:46,776 FOR 2026. 630 00:23:46,776 --> 00:23:48,711 SO TOADS AND WEDNESDAY 631 00:23:48,711 --> 00:23:51,347 JANUARY 27th AND 28th, WILL 632 00:23:51,347 --> 00:23:54,183 BE OUR WINTER MEETING, THIS WILL 633 00:23:54,183 --> 00:23:57,820 AS USUAL BE VIRTUAL. 634 00:23:57,820 --> 00:24:00,856 MAY 12th AND 13th, WILL BE 635 00:24:00,856 --> 00:24:04,293 OUR MAY COUNCIL MEETING AND THAT 636 00:24:04,293 --> 00:24:07,229 WILL BE AGAIN ON MAIN CAMPUS IN 637 00:24:07,229 --> 00:24:10,433 BUILDING 45 AT NATCHER AND IN 638 00:24:10,433 --> 00:24:12,335 SEPTEMBER AGAIN NEXT YEAR WILL 639 00:24:12,335 --> 00:24:15,638 BE OUR COUNCIL MEETINGS ON 640 00:24:15,638 --> 00:24:18,007 SEPTEMBER 15th AND 16th ALSO 641 00:24:18,007 --> 00:24:19,175 AT NATCHER. 642 00:24:19,175 --> 00:24:20,509 DARREN, QUESTION? 643 00:24:20,509 --> 00:24:20,943 >> QUESTION, YEAH. 644 00:24:20,943 --> 00:24:23,979 SO I THINK I WILL SLATED TO BE 645 00:24:23,979 --> 00:24:26,582 DONE WITH COUNCIL AS OF THE END 646 00:24:26,582 --> 00:24:28,184 OF 2025. 647 00:24:28,184 --> 00:24:29,819 SHOULD I LOCK THESE DATES OFF 648 00:24:29,819 --> 00:24:32,154 KNOWING THAT SOMETIMES THERE'S 649 00:24:32,154 --> 00:24:34,457 ISSUES WITH GETTING PEOPLE 650 00:24:34,457 --> 00:24:35,524 ONBOARDED OR WHAT IS THINKING 651 00:24:35,524 --> 00:24:38,060 FOR PEOPLE WHO MIGHT BE IN A 652 00:24:38,060 --> 00:24:38,461 SIMILAR SITUATION? 653 00:24:38,461 --> 00:24:39,495 >> YES, VERY GOOD QUESTION AND 654 00:24:39,495 --> 00:24:40,896 YOU ANSWERED IT ALREADY, SO 655 00:24:40,896 --> 00:24:43,466 THANK YOU VERY MUCH FOR AGREEING 656 00:24:43,466 --> 00:24:46,535 TO CONTINUE TO BEING A VALUED 657 00:24:46,535 --> 00:24:49,939 COUNCIL MEMBER. 658 00:24:49,939 --> 00:24:51,941 NO, ABSOLUTELY, THERE IS A BACK 659 00:24:51,941 --> 00:24:55,344 LOG CURRENTLY FOR APPROVAL OF 660 00:24:55,344 --> 00:24:57,446 OUR NEXT SLATE, TOO. 661 00:24:57,446 --> 00:24:59,915 SO, WE WOULD LIKELY BE ASKING 662 00:24:59,915 --> 00:25:05,287 CURRENT COUNCIL MEMBERS TO 663 00:25:05,287 --> 00:25:06,255 EXTEND THEIR DATES FOR I THINK 664 00:25:06,255 --> 00:25:10,192 IT WOULD BE I 120 DAYS IF 665 00:25:10,192 --> 00:25:11,894 POSSIBLE TO COVER THE NEXT FEW 666 00:25:11,894 --> 00:25:13,362 MEETINGS BECAUSE WE WOULD BE 667 00:25:13,362 --> 00:25:14,063 DOWN ALREADY. 668 00:25:14,063 --> 00:25:17,066 WE WOULD BE DOWN ALREADY, 669 00:25:17,066 --> 00:25:18,067 SEVERAL COUNCIL MEMBERS AND WE 670 00:25:18,067 --> 00:25:20,669 NEED TO CONTINUE OF COURSE 671 00:25:20,669 --> 00:25:22,471 HAVING A QUORUM FOR VOTING, ET 672 00:25:22,471 --> 00:25:23,506 CETERA FOR OUR COUNCIL. 673 00:25:23,506 --> 00:25:25,875 SO WE WOULD GREATLY APPRECIATE 674 00:25:25,875 --> 00:25:30,446 ALL THOSE WHO ARE SUPPOSED TO BE 675 00:25:30,446 --> 00:25:32,515 CIRCLING OFF IN THE NEAR FUTURE 676 00:25:32,515 --> 00:25:35,384 WILL BE TRYING TO EXTEND THEM AS 677 00:25:35,384 --> 00:25:37,219 MUCH AS WE'RE ABLE TO BY LAW. 678 00:25:37,219 --> 00:25:41,390 SO THANK YOU DARREN. 679 00:25:41,390 --> 00:25:42,291 >> YEAH, THANKS, KEN. 680 00:25:42,291 --> 00:25:44,860 >> ALL RIGHT, VERY GOOD. 681 00:25:44,860 --> 00:25:52,501 NEXT I DO -- 1 OTHER -- WE HAD A 682 00:25:52,501 --> 00:25:54,203 SPECIAL PRESENTATION FROM A 683 00:25:54,203 --> 00:25:57,473 NUMBER OF THE NASEM COMMITTEE 684 00:25:57,473 --> 00:26:00,609 THAT WAS ALREADY ALLUDED TO IN 685 00:26:00,609 --> 00:26:01,577 DR. HODES'S TALK AND I WOULD 686 00:26:01,577 --> 00:26:03,312 LIKE TO GIVE A QUICK SUMMARY OF 687 00:26:03,312 --> 00:26:07,149 WHAT WAS PRESENTED TO OUR 688 00:26:07,149 --> 00:26:09,084 COUNCIL MEMBERS. 689 00:26:09,084 --> 00:26:10,486 SO AGAIN, THIS WAS A 690 00:26:10,486 --> 00:26:12,021 PRESENTATION FROM THE NATIONAL 691 00:26:12,021 --> 00:26:13,022 ACADEMIES OF SCIENCE, 692 00:26:13,022 --> 00:26:16,358 ENGINEERING MEDICINE ON A RECENT 693 00:26:16,358 --> 00:26:18,894 REPORT ENTITLED PREVENTING AND 694 00:26:18,894 --> 00:26:21,397 TREATING DEMENTIA, RESEARCH 695 00:26:21,397 --> 00:26:25,067 PRIORITIES TO ACCELERATE 696 00:26:25,067 --> 00:26:25,334 PROGRESS. 697 00:26:25,334 --> 00:26:26,735 THIS WAS A -- THIS WAS 698 00:26:26,735 --> 00:26:28,337 COMMISSIONED BY THE NATIONAL 699 00:26:28,337 --> 00:26:30,573 INNSITUTE ON AGING AND THE 700 00:26:30,573 --> 00:26:32,575 NATIONAL INSTITUTES OF 701 00:26:32,575 --> 00:26:34,610 NEUROLOGICAL DISORDERS AND 702 00:26:34,610 --> 00:26:35,177 STROKE. 703 00:26:35,177 --> 00:26:37,513 WE ASKED THE NATIONAL ACADEMIES 704 00:26:37,513 --> 00:26:39,915 OF TO CONVENA AN EXPERT 705 00:26:39,915 --> 00:26:41,684 COMMITTEE TO EXAMINE AND ASSESS 706 00:26:41,684 --> 00:26:43,719 THE CURRENT STATE OF BIOMEDICAL 707 00:26:43,719 --> 00:26:45,221 RESEARCH AND RECOMMEND RESEARCH 708 00:26:45,221 --> 00:26:47,356 PRIORITIES TO ADVANCE THE 709 00:26:47,356 --> 00:26:51,126 PREVENTION AND TREATMENT OF 710 00:26:51,126 --> 00:26:52,161 AD/ADRD. 711 00:26:52,161 --> 00:26:55,297 PREVENTING AND TREATING DEMENTIA 712 00:26:55,297 --> 00:26:56,665 OUTLINES THESE RESEARCH 713 00:26:56,665 --> 00:26:57,633 PRIORITIES AND RECOMMENDS 714 00:26:57,633 --> 00:26:58,901 STRATEGIES TO OVERCOME BARRIERS 715 00:26:58,901 --> 00:27:00,102 TO PROGRESS. 716 00:27:00,102 --> 00:27:04,273 SO THE PRESENTATION WAS GIVEN BY 717 00:27:04,273 --> 00:27:06,375 DR. TIA POWELL WHO WAS THE CHAIR 718 00:27:06,375 --> 00:27:10,479 OF THE NASEM COMMITTEE, 719 00:27:10,479 --> 00:27:11,914 PROFESSOR OF EPIDEMIOLOGY AND 720 00:27:11,914 --> 00:27:13,516 CHEMISTRY AT THE ALBERT EINSTEIN 721 00:27:13,516 --> 00:27:16,519 COLLEGE OF MEDICINE IN THE 722 00:27:16,519 --> 00:27:18,220 MONTIFORI MEDICAL CENTER. 723 00:27:18,220 --> 00:27:22,691 THIS COMMITTEE WAS IDENTIFIED AS 724 00:27:22,691 --> 00:27:23,526 NEAR MEDIUM AND SCIENTIFIC 725 00:27:23,526 --> 00:27:24,960 QUESTIONS THAT CAN BE ADDRESSED 726 00:27:24,960 --> 00:27:26,495 THROUGH NIH FUND NOTHING THE 727 00:27:26,495 --> 00:27:28,364 NEXT 3-10 YEARS AS WELL AS 728 00:27:28,364 --> 00:27:30,466 OPPORTUNITIES TO OVERCOME MAJOR 729 00:27:30,466 --> 00:27:34,470 BARRIERS, TO PROGRESS ON THESE 730 00:27:34,470 --> 00:27:36,739 SCIENTIFIC QUESTIONS. 731 00:27:36,739 --> 00:27:38,240 DR. POWELL FIRST SUMMARIZED A 732 00:27:38,240 --> 00:27:41,977 RESEARCH PRIORITY AREAS IN 3 733 00:27:41,977 --> 00:27:43,879 BROAD SECTIONS, FIRST BEING TO 734 00:27:43,879 --> 00:27:45,881 QUANTIFY BRAIN HEALTH ACROSS THE 735 00:27:45,881 --> 00:27:48,350 LIFE COURSE AND ACCURATELY 736 00:27:48,350 --> 00:27:51,487 PREDICT RISK OF SCREENING FOR 737 00:27:51,487 --> 00:27:55,124 DIAGNOSIS AND MONITORING OF 738 00:27:55,124 --> 00:27:55,391 AD/ADRD. 739 00:27:55,391 --> 00:27:58,127 SECOND WAS TO BUILD A MORE 740 00:27:58,127 --> 00:28:00,396 COMPREHENSIVE AND INTEGRATED 741 00:28:00,396 --> 00:28:03,332 UNDERSTANDING OF THE DISEASE OF 742 00:28:03,332 --> 00:28:05,267 BIOLOGY AND MECHANISTIC PATHWAYS 743 00:28:05,267 --> 00:28:08,370 TO CONTRIBUTE TO AD/ADRD 744 00:28:08,370 --> 00:28:10,272 DEVELOPMENT AND RESILIENCE OVER 745 00:28:10,272 --> 00:28:13,943 THE LIFE COURSE AND THIRD 746 00:28:13,943 --> 00:28:15,311 TOCCATAALIZE ADVANCES IN 747 00:28:15,311 --> 00:28:16,445 INTERVENTIONS FOR THE PREVENTION 748 00:28:16,445 --> 00:28:20,816 AND TREATMENT OF THE AD/ADRD 749 00:28:20,816 --> 00:28:23,485 SPANNING FROM PRECISION MEDICINE 750 00:28:23,485 --> 00:28:24,386 TO HEALTH STRATEGIES. 751 00:28:24,386 --> 00:28:26,322 DR. POWELL WENT ON TO DESCRIBE 752 00:28:26,322 --> 00:28:30,526 THE 10 MAJOR RECOMMENDATIONS 753 00:28:30,526 --> 00:28:32,628 FROM THE COMMITTEE. 754 00:28:32,628 --> 00:28:34,897 BRIEFLY THESE RECOMMENDATIONS 755 00:28:34,897 --> 00:28:37,232 INCLUDED 1 RESEARCH PRIORITIES 756 00:28:37,232 --> 00:28:39,535 TO CATALYZE ADVANCES, AND 757 00:28:39,535 --> 00:28:42,771 PREVENTION AND TREATMENT, 2, TO 758 00:28:42,771 --> 00:28:45,174 MAXIMIZE KNOWLEDGE FROM 759 00:28:45,174 --> 00:28:46,342 LONGITUDINAL RESEARCH, 3, TO 760 00:28:46,342 --> 00:28:49,144 BREAK DOWN BARRIERS TO 761 00:28:49,144 --> 00:28:50,746 ACCELERATION OF CLINICAL 762 00:28:50,746 --> 00:28:54,116 RESEARCH, 4, TO ENABLE 763 00:28:54,116 --> 00:28:56,852 MULTIDISCIPLINARY MULTISECTOR 764 00:28:56,852 --> 00:28:59,154 AND COLLABORATIVE RESEARCH. 765 00:28:59,154 --> 00:29:00,889 FIVE TO INCENTIVIZE INCLUSIVE 766 00:29:00,889 --> 00:29:01,357 RESEARCH. 767 00:29:01,357 --> 00:29:05,761 SIX, IS TO INCREASE THE 768 00:29:05,761 --> 00:29:06,562 ACCESSIBILITY AND 769 00:29:06,562 --> 00:29:08,430 GENERALIZABILITY OF CLINICAL AND 770 00:29:08,430 --> 00:29:10,599 PUBLIC HEALTH RESEARCH. 771 00:29:10,599 --> 00:29:13,769 SEVEN, IS TO INSURE DATA ACCESS 772 00:29:13,769 --> 00:29:17,006 TO MAXIMIZE RESEARCH RETURNS. 773 00:29:17,006 --> 00:29:20,843 EIGHT, IS THE ENHANCED DATA 774 00:29:20,843 --> 00:29:22,111 USABILITY FOR FUTURE RESEARCH 775 00:29:22,111 --> 00:29:25,114 AND 9, IS TO EXPAND THE CAPACITY 776 00:29:25,114 --> 00:29:28,183 TO COLLECT AND STORE BIOLOGICAL 777 00:29:28,183 --> 00:29:34,223 SAMPLES GENERATED THROUGH THE 778 00:29:34,223 --> 00:29:35,624 NATIONAL INSTITUTES OF HEALTH 779 00:29:35,624 --> 00:29:36,458 AND RESEARCH. 780 00:29:36,458 --> 00:29:42,031 AND FINALLY 10, WAS TO SUPPORT 781 00:29:42,031 --> 00:29:43,198 INNOVATION THROUGH ALL NATIONAL 782 00:29:43,198 --> 00:29:45,834 INSTITUTES OF HEALTH FUNDED 783 00:29:45,834 --> 00:29:46,101 RESEARCH. 784 00:29:46,101 --> 00:29:47,036 WITH THOSE 10 RECOMMENDATIONS 785 00:29:47,036 --> 00:29:52,675 OUR COUNCIL MEMBERS HAD A LIVELY 786 00:29:52,675 --> 00:29:55,477 DISCUSSION WHICH ALLOWED US TO 787 00:29:55,477 --> 00:29:58,580 GO INTO MORE INDEPTH INTO EACH 788 00:29:58,580 --> 00:29:59,715 OF THESE RECOMMENDATIONS. 789 00:29:59,715 --> 00:30:00,883 FOR YOUR INFORMATION, YOU CAN 790 00:30:00,883 --> 00:30:06,655 FIND THE FULL REPORTOT NATIONAL 791 00:30:06,655 --> 00:30:10,492 ACADEMIES WEBSITE WHICH IS 792 00:30:10,492 --> 00:30:11,727 NAPP.NATIONAL ACADEMIES.ORG. 793 00:30:11,727 --> 00:30:14,163 YOU CAN FIND THE FINAL REPORT 794 00:30:14,163 --> 00:30:15,164 PUBLISHED THERE. 795 00:30:15,164 --> 00:30:17,966 AND AS DR. HODES SAID, WE ARE NO 796 00:30:17,966 --> 00:30:21,103 TAKING THIS REPORT INTO 797 00:30:21,103 --> 00:30:25,140 CONSIDERATION IN OUR OWN 798 00:30:25,140 --> 00:30:26,742 STRATEGIC PLAN MOVING FORWARD 799 00:30:26,742 --> 00:30:31,947 FOR OUR INSTITUTE AND OUR SISTER 800 00:30:31,947 --> 00:30:32,581 AGENCY NINDS. 801 00:30:32,581 --> 00:30:37,052 GREAT, WITH THAT WAS THERE ANY 802 00:30:37,052 --> 00:30:39,021 -- ANYONE ELSE WOULD LIKE TO 803 00:30:39,021 --> 00:30:43,525 MAKE FINAL COMMENTS OR 804 00:30:43,525 --> 00:30:45,360 QUESTIONS? 805 00:30:45,360 --> 00:30:47,429 >> I HAD 1 QUESTION, THIS IS 806 00:30:47,429 --> 00:30:49,131 FRANK, FOR THE REPORT YOU JUST 807 00:30:49,131 --> 00:30:53,235 CITED WHICH I THOUGHT WAS REALLY 808 00:30:53,235 --> 00:30:55,671 WELL DONE, AND YOU KNOW REALLY 809 00:30:55,671 --> 00:30:57,840 PERCEPTIVE, LOTS OF INSIGHT, 810 00:30:57,840 --> 00:31:00,642 WERE THERE ANY YOU KNOW 811 00:31:00,642 --> 00:31:03,712 SURPRISES OR THINGS THAT WOULD 812 00:31:03,712 --> 00:31:06,648 YOU KNOW MAKE THE NIA DO 813 00:31:06,648 --> 00:31:08,383 SOMETHING DIFFERENT THAN WAS 814 00:31:08,383 --> 00:31:15,524 ALREADY DOING OR ANY ADDITIONAL 815 00:31:15,524 --> 00:31:15,824 APPROACHES? 816 00:31:15,824 --> 00:31:18,093 >> RICHARD WOULD YOU LIKE TO 817 00:31:18,093 --> 00:31:19,128 ADDRESS THAT FIRST? 818 00:31:19,128 --> 00:31:20,829 >> YES, GOOD QUESTION FRANK, I 819 00:31:20,829 --> 00:31:22,364 THINK AS WAS EMPHASIZED IN THE 820 00:31:22,364 --> 00:31:24,199 REPORT AND ITS PRESENTATION, 821 00:31:24,199 --> 00:31:27,569 THERE WAS FAR MORE IN THE WAY OF 822 00:31:27,569 --> 00:31:30,139 SUGGESTIONS FOR AREAS THAT WERE 823 00:31:30,139 --> 00:31:32,241 WORTHY OF CONTINUED OR GREATER 824 00:31:32,241 --> 00:31:33,308 EMPHASIS THAN ENTIRELY NEW 825 00:31:33,308 --> 00:31:35,377 AREAS, AND SOME OF THEM THAT I 826 00:31:35,377 --> 00:31:38,447 ALLUDED TO AND COMMENT UPON NOW, 827 00:31:38,447 --> 00:31:41,617 INCLUDED THE LOOK FOR COMMON 828 00:31:41,617 --> 00:31:43,152 RISK AND PATHOGENIC FACTORS THAT 829 00:31:43,152 --> 00:31:48,423 MIGHT CROSS THE BOUNDARIES OF 830 00:31:48,423 --> 00:31:49,691 DEFINITE DEMENTIAS, AND 831 00:31:49,691 --> 00:31:50,159 THEREFORE WOULD ALLOW 832 00:31:50,159 --> 00:31:51,960 INTERVENTIONS THAT WOULD TARGET 833 00:31:51,960 --> 00:31:56,298 COMPONENTS OF MORE THAN 1 OF THE 834 00:31:56,298 --> 00:31:57,432 COMPLEX ETIOLOGIES MOST OFTEN 835 00:31:57,432 --> 00:31:59,434 SEEN IN BRAINS OF INDIVIDUALS 836 00:31:59,434 --> 00:31:59,968 ASHINGED. 837 00:31:59,968 --> 00:32:02,070 THERE WAS STRESSOT IMPORTANCE OF 838 00:32:02,070 --> 00:32:03,138 LONGITUDINAL STUDIES AND 839 00:32:03,138 --> 00:32:03,939 LEVERAGING THEM, SOMETHING I 840 00:32:03,939 --> 00:32:05,908 THINK WHICH WE HAVE REGARDED AS 841 00:32:05,908 --> 00:32:07,876 IMPORTANT WHICH WE WILL CONTINUE 842 00:32:07,876 --> 00:32:12,915 TO EMPHASIZE AND TO EXPAND THAT 843 00:32:12,915 --> 00:32:13,382 EMPHASIS. 844 00:32:13,382 --> 00:32:14,583 THE VERY GOOD POINT ABOUT 845 00:32:14,583 --> 00:32:16,652 SHARING OF DATA BIOLOGICAL 846 00:32:16,652 --> 00:32:18,554 SAMPLES HAS BEEN A AREA WHERE I 847 00:32:18,554 --> 00:32:20,088 GIVE GREAT CREDIT TO THE 848 00:32:20,088 --> 00:32:21,423 RESEARCH COMMUNITY AS WELL AS TO 849 00:32:21,423 --> 00:32:23,458 OUR OWN EFFORTS TO SUPPORT THEM 850 00:32:23,458 --> 00:32:25,060 AND THAT WE REALLY OVER THE PAST 851 00:32:25,060 --> 00:32:29,932 YEAR SEE AN ENORMOUS EXPANSION 852 00:32:29,932 --> 00:32:32,568 AND ACCESS TO DATA AND MADE 853 00:32:32,568 --> 00:32:34,770 CONTRIBUTIONS COMING FORWARD AND 854 00:32:34,770 --> 00:32:35,737 MOST IMPACTFUL ARE INDIVIDUALS 855 00:32:35,737 --> 00:32:37,439 WHO MIGHT NOT NECESSARILY HAVE 856 00:32:37,439 --> 00:32:38,640 BEEN IN GENERATE THANKSGIVING 857 00:32:38,640 --> 00:32:39,842 PRIMARY DATA, ALL THIS TO THE 858 00:32:39,842 --> 00:32:40,075 BETTER. 859 00:32:40,075 --> 00:32:42,211 ALL THIS LOOKING AT INCLUSIVE 860 00:32:42,211 --> 00:32:43,245 IVITY AND POPULATIONS INVOLVED 861 00:32:43,245 --> 00:32:46,815 IN CLINICAL TODAYS AND TRIALS, 862 00:32:46,815 --> 00:32:48,951 ULTIMATE CONCLUSION FOR 863 00:32:48,951 --> 00:32:51,153 THERAPEUTICS OR RANDOM MEASURES 864 00:32:51,153 --> 00:32:52,287 APPLICABLE TO THE POPULATIONS 865 00:32:52,287 --> 00:32:53,655 ACROSS AMERICA THAT ARE AFFECTED 866 00:32:53,655 --> 00:32:54,957 AND IN FACT GLOBAL SO. 867 00:32:54,957 --> 00:32:56,325 SO THESE ARE SOME OF THE 868 00:32:56,325 --> 00:32:58,327 EXAMPLES, I DON'T KNOW IF 869 00:32:58,327 --> 00:32:59,394 THERE'S ANYTHING THAT'S NOT BEEN 870 00:32:59,394 --> 00:33:01,463 THOUGHT OF BUT NOT TO DIMINISH 871 00:33:01,463 --> 00:33:03,232 THE IMPORTANCE OF THIS, 872 00:33:03,232 --> 00:33:04,166 EMPHASIZING WHAT THEY, THE 873 00:33:04,166 --> 00:33:05,267 ACADEMY AND THE FIELD THINK OF 874 00:33:05,267 --> 00:33:06,635 THOSE AREAS WHERE WE SHOULD 875 00:33:06,635 --> 00:33:09,404 INCREASE AND ENHANCE OUR 876 00:33:09,404 --> 00:33:10,706 FOUGHTURE EMPHASIS. 877 00:33:10,706 --> 00:33:11,540 >> THANK YOU RICHARD. 878 00:33:11,540 --> 00:33:13,675 YEAH, I DID READ THE REPORT, AND 879 00:33:13,675 --> 00:33:15,978 I THOUGHT IT WAS REASSURING THAT 880 00:33:15,978 --> 00:33:18,513 YOU KNOW VERY WELL QUALIFIED 881 00:33:18,513 --> 00:33:20,249 GROUP OF PEOPLE, CONSITUTE 882 00:33:20,249 --> 00:33:23,285 THAGOREAN COMMITTEE TAKING A 883 00:33:23,285 --> 00:33:24,353 FRESH PERSPECTIVE, I THINK DID 884 00:33:24,353 --> 00:33:27,189 SUPPORT MANY OF THE THINGS NIA 885 00:33:27,189 --> 00:33:30,158 HAS BEEN DOING BUT IT'S HEALTHY 886 00:33:30,158 --> 00:33:31,560 EXERCISE TO COME IN FROM A 887 00:33:31,560 --> 00:33:32,728 DIFFERENT VIEW LIKE THAT AND 888 00:33:32,728 --> 00:33:34,429 REACH MANY OF THE SAME 889 00:33:34,429 --> 00:33:36,632 CONCLUSIONS, I ALSO ENJOYED THE 890 00:33:36,632 --> 00:33:37,900 PART ABOUT THERAPEUTIC 891 00:33:37,900 --> 00:33:39,034 APPROACHES THAT MIGHT ADENTIFY, 892 00:33:39,034 --> 00:33:41,637 THAT MIGHT BE RELEVANT TO 893 00:33:41,637 --> 00:33:42,938 MULTIPLE DEMENTIAS, AND I HAD 894 00:33:42,938 --> 00:33:44,873 THE GOOD FORTUNE OF 895 00:33:44,873 --> 00:33:48,277 PARTICIPATING IN AN NIA LED 896 00:33:48,277 --> 00:33:50,545 PROGRAM LAST YEAR ON RESILIENCE, 897 00:33:50,545 --> 00:33:52,481 WHICH I THINK IS 1 OF THE THOSE 898 00:33:52,481 --> 00:33:54,716 THINGS, IT DOES, YOU KNOW 899 00:33:54,716 --> 00:33:57,419 COMPASS MULTIPLE FORMS OF 900 00:33:57,419 --> 00:33:58,854 DEMENTIAS, SO I THINK I'M 901 00:33:58,854 --> 00:34:01,323 ENCOURAGED BY THAT PART AS WELL, 902 00:34:01,323 --> 00:34:02,190 SO THANK YOU. 903 00:34:02,190 --> 00:34:04,693 AND THANK YOU JUST TO 904 00:34:04,693 --> 00:34:06,962 REEMPHASIZE THE ORIGIN OF THIS 905 00:34:06,962 --> 00:34:08,563 WAS THIS PARTICULAR REPORT WAS 906 00:34:08,563 --> 00:34:10,565 AT THE INSTRUCTION AND REQUEST 907 00:34:10,565 --> 00:34:12,100 OF CONGRESS, IMPORTANT, YOU KNOW 908 00:34:12,100 --> 00:34:14,169 WE'VE TRIED TO BE MOST OPEN AND 909 00:34:14,169 --> 00:34:15,938 TRANSPARENT AND I THINK HAVE 910 00:34:15,938 --> 00:34:16,838 OUTSTANDING RELATIONSHIPS WITH 911 00:34:16,838 --> 00:34:19,207 POLICY MAKERS AND CONGRESSIONAL 912 00:34:19,207 --> 00:34:21,076 STAFF AND MEMBERS BUT WHEN THEY 913 00:34:21,076 --> 00:34:22,678 ASK FOR SOME REASSURANCE FROM AN 914 00:34:22,678 --> 00:34:24,413 OUTSIDE OR INDEPENDENT VIEW AS 915 00:34:24,413 --> 00:34:26,081 TO WHETHER THERE ARE AREAS WE'RE 916 00:34:26,081 --> 00:34:28,383 MISSING, PLACES WE SHOULD BE 917 00:34:28,383 --> 00:34:29,251 EMPHASIZING, IT'S VERY USEFUL TO 918 00:34:29,251 --> 00:34:31,987 HAVE THIS AS A RESPONSE NOT 919 00:34:31,987 --> 00:34:33,555 COMMISSIONED BY US AS 920 00:34:33,555 --> 00:34:35,390 SELF-SERVING IF YOU WILL BUT IN 921 00:34:35,390 --> 00:34:36,491 RESPONSE TO CONGRESSIONAL AND 922 00:34:36,491 --> 00:34:37,993 PUBLIC MANDATE TO MAKE SURE 923 00:34:37,993 --> 00:34:39,294 WE'RE ON THE RIGHT TRACK AND 924 00:34:39,294 --> 00:34:40,762 CONTINUE TO WISELY USE THE 925 00:34:40,762 --> 00:34:45,801 RESOURCES THAT HAVE BEEN 926 00:34:45,801 --> 00:34:46,868 ENTRUSTED TO US. 927 00:34:46,868 --> 00:34:51,540 >> THANK YOU. 928 00:34:51,540 --> 00:34:51,940 >> NANCY? 929 00:34:51,940 --> 00:34:53,775 >> HI, WE'RE STILL WORKING ON 930 00:34:53,775 --> 00:34:56,111 GETTING OFF MUTE QUICKLY, WHICH 931 00:34:56,111 --> 00:35:01,216 IS PROGRESS FOR ME. 932 00:35:01,216 --> 00:35:02,718 RICHARD PROBABLY NOT NECESSARILY 933 00:35:02,718 --> 00:35:03,785 DIRECTLY ON THIS REPORT BUT I 934 00:35:03,785 --> 00:35:08,790 HAPPEN TO PICK UP YESTERDAY THE 935 00:35:08,790 --> 00:35:10,659 CMMI RELEASED SORT OF A NEW 936 00:35:10,659 --> 00:35:15,364 VISION AND PARTS OF THAT NEW 937 00:35:15,364 --> 00:35:17,432 VISION HAD A LOT TO DO WITH 938 00:35:17,432 --> 00:35:20,369 PREVENTION OF CHRONIC DISEASE, 939 00:35:20,369 --> 00:35:24,606 EXTENSION OF HEALTH SPAN, LOTS 940 00:35:24,606 --> 00:35:26,675 OF SYNERGIES BETWEEN THE WORK 941 00:35:26,675 --> 00:35:30,579 THAT NIA IS DOING BOTH IN THE 942 00:35:30,579 --> 00:35:31,213 ALZHEIMER'S DISEASE, DEMENTIA 943 00:35:31,213 --> 00:35:34,516 SPACE AND ALSO IN THE CHRONIC 944 00:35:34,516 --> 00:35:37,486 DISEASE AGING SPACE AND I WAS 945 00:35:37,486 --> 00:35:40,622 WONDERING IF THERE HAD BEEN 946 00:35:40,622 --> 00:35:41,790 CONVERSATIONS SHARING OF A 947 00:35:41,790 --> 00:35:43,792 REPORT LIKE THIS, THAT WAS 948 00:35:43,792 --> 00:35:45,527 COMMISSIONED BY NIH WITH THE NEW 949 00:35:45,527 --> 00:35:49,831 FOLKS OVER AT CMS, CMI, AND HOW 950 00:35:49,831 --> 00:35:51,533 YOU SEE THOSE COLLABORATIONS 951 00:35:51,533 --> 00:35:51,967 GOING FORWARD. 952 00:35:51,967 --> 00:35:54,236 I KNOW THERE'S BEEN GREAT 953 00:35:54,236 --> 00:35:56,138 COLLABORATION ACROSS AGENCY 954 00:35:56,138 --> 00:35:57,873 COLLABORATION IN THE PAST, JUST 955 00:35:57,873 --> 00:36:01,176 WANT TO MAKE SURE THAT WE AS 956 00:36:01,176 --> 00:36:02,844 NACA MEMBERS HAVE A SENSE OF HOW 957 00:36:02,844 --> 00:36:05,714 WE CAN ENCOURAGE THOSE TYPES OF 958 00:36:05,714 --> 00:36:08,216 COLLABORATION TO CONTINUE IN 959 00:36:08,216 --> 00:36:10,519 THAT CAREFUL STEWARDSHIP OF 960 00:36:10,519 --> 00:36:14,990 RESOURCES TO CONTINUE. 961 00:36:14,990 --> 00:36:17,459 PARTICULARLY SINCE THIS NEW 962 00:36:17,459 --> 00:36:20,562 VISION MAY ACTUALLY -- COULD 963 00:36:20,562 --> 00:36:21,863 POTENTIALLY REPETITIVE OF WORK 964 00:36:21,863 --> 00:36:25,901 THAT NIA AND NIH ARE FUNDING. 965 00:36:25,901 --> 00:36:27,636 >> THANK YOU AND AS YOU KNOW 966 00:36:27,636 --> 00:36:30,238 REFER TO NIA AND ALL OF NIH BUT 967 00:36:30,238 --> 00:36:31,740 NIH SPECIFICALLY HAS WORKED 968 00:36:31,740 --> 00:36:33,742 CLOSE LOW WITH CMS IN A LOT OF 969 00:36:33,742 --> 00:36:35,343 AREAS HELPING WITH RESEARCH TO 970 00:36:35,343 --> 00:36:37,345 TRY TO INFORM THE POLICIES AND 971 00:36:37,345 --> 00:36:38,880 IMPLEMENTATION, AND IN TERMS OF 972 00:36:38,880 --> 00:36:40,549 DATA AND DATA SHARING AND 973 00:36:40,549 --> 00:36:42,284 ANALYSIS, THERE'S BEEN GREAT 974 00:36:42,284 --> 00:36:42,884 COLLABORATIVE EFFORTS. 975 00:36:42,884 --> 00:36:50,692 I WOULD SAY THAT NOW, WITH THE 976 00:36:50,692 --> 00:36:52,427 NEW NIH LEADERSHIP, JAY, WHO'S 977 00:36:52,427 --> 00:36:54,629 WORKED IN A LOT OF THESE AREAS 978 00:36:54,629 --> 00:36:56,398 THERE'S RENEWED AND ENHANCED 979 00:36:56,398 --> 00:36:57,899 COMMITMENT WORKING ACROSS 980 00:36:57,899 --> 00:36:58,934 AGENCIES SPECIFICALLY INCLUDING 981 00:36:58,934 --> 00:37:00,569 CMS AND FDA TO MAKE SURE WE'RE 982 00:37:00,569 --> 00:37:03,572 WORKING AT COMMON PURPOSES WITH 983 00:37:03,572 --> 00:37:05,107 NIH PLAYING ITS ROLE IN 984 00:37:05,107 --> 00:37:06,475 INFORMING THE POLICIES AND 985 00:37:06,475 --> 00:37:07,843 DECISION MAKING OF THOSE 986 00:37:07,843 --> 00:37:08,343 AGENCIES. 987 00:37:08,343 --> 00:37:10,512 SOY THINK OUR OWN EFFORTS AND AS 988 00:37:10,512 --> 00:37:12,981 YOU HEARD REFERRED TO YESTERDAY, 989 00:37:12,981 --> 00:37:14,483 EVEN THE DETAILING OF SOME OF 990 00:37:14,483 --> 00:37:16,718 THE LEADERS OF NIA EFFORTS TO 991 00:37:16,718 --> 00:37:20,789 THE OFFICE OF THE NIH DIRECTOR, 992 00:37:20,789 --> 00:37:24,292 TO HELP LEND THE EXPERTISE IN 993 00:37:24,292 --> 00:37:26,161 AREAS OF EMPHASIS THAT HAVE BEEN 994 00:37:26,161 --> 00:37:29,331 PART OF NIA TO NOW TO REINFORCE 995 00:37:29,331 --> 00:37:30,599 NIH EFFORTS ARE ALL SIGNS THAT 996 00:37:30,599 --> 00:37:31,800 THE STRENGTH OF THESE 997 00:37:31,800 --> 00:37:33,368 COLLABORATIONS WILL CONTINUE AND 998 00:37:33,368 --> 00:37:38,140 HOPEFULLY BE ENHANCED FURTHER 999 00:37:38,140 --> 00:37:38,373 STILL. 1000 00:37:38,373 --> 00:37:40,041 >> AND I WOULD LIKE TO ALSO ADD 1001 00:37:40,041 --> 00:37:43,211 NANCY THAT I THINK THERE'S 1002 00:37:43,211 --> 00:37:45,780 CERTAINLY BEEN TREMENDOUS EFFORT 1003 00:37:45,780 --> 00:37:46,348 REGARDING MULTIDISCIPLINARY 1004 00:37:46,348 --> 00:37:49,117 RESEARCH AND IN ORDER TO -- WE 1005 00:37:49,117 --> 00:37:50,585 HAVE TO UNDERSTAND THAT THERE'S 1006 00:37:50,585 --> 00:37:52,554 A LOT OF DIFFERENT AREAS AND 1007 00:37:52,554 --> 00:37:54,723 EXPERTISE THAT ARE NEEDED IN OUR 1008 00:37:54,723 --> 00:37:58,059 GRANTS THAT ARE COMING TO THIS 1009 00:37:58,059 --> 00:37:59,794 AND BY DEFAULT WE REALLY HAVE TO 1010 00:37:59,794 --> 00:38:04,432 WORK TOGETHER AS INSTITUTES IN 1011 00:38:04,432 --> 00:38:07,502 ORDER TO INSURE, YOU KNOW THAT 1012 00:38:07,502 --> 00:38:09,271 THE BEST STEWARDSHIP OF THE 1013 00:38:09,271 --> 00:38:12,174 GRANTS AND IT IS CROSSING ALL 1014 00:38:12,174 --> 00:38:13,775 DIFFERENT FIELDS, YOU KNOW 1015 00:38:13,775 --> 00:38:15,944 THROUGH THE NIH OVERALL. 1016 00:38:15,944 --> 00:38:17,913 SO BETWEEN THAT, AND AS RICHARD 1017 00:38:17,913 --> 00:38:22,083 MENTIONED ISSUES THE DATA AND 1018 00:38:22,083 --> 00:38:22,984 THE BIOREPOSITORYS, ESPECIALLY, 1019 00:38:22,984 --> 00:38:25,353 I THINK THERE'S BEEN LOTS OF 1020 00:38:25,353 --> 00:38:27,822 EFFORTS ACROSS THE NIH, TO 1021 00:38:27,822 --> 00:38:31,159 CENTRALIZE SOME OF THESE THINGS. 1022 00:38:31,159 --> 00:38:34,529 CERTAINLY FOR COST 1023 00:38:34,529 --> 00:38:36,164 EFFECTIVENESS, RESOURCE SHARING, 1024 00:38:36,164 --> 00:38:37,999 ACROSS THE INSTITUTES, TOO, AND 1025 00:38:37,999 --> 00:38:41,436 THEN IT MAKES IT MORE ACCESSIBLE 1026 00:38:41,436 --> 00:38:42,837 TO ALL THE RESEARCH COMMUNITY 1027 00:38:42,837 --> 00:38:43,805 ESPECIALLY THEN, TOO, WHEN IT'S 1028 00:38:43,805 --> 00:38:48,076 ALL IN 1 PLACE AND PEOPLE CAN 1029 00:38:48,076 --> 00:38:49,211 ACCESS THESE RESOURCES 1030 00:38:49,211 --> 00:38:50,212 ESPECIALLY. 1031 00:38:50,212 --> 00:38:51,746 SO THESE EFFORTS ARE ONGOING AND 1032 00:38:51,746 --> 00:38:55,383 I THINK ARE BEING MADE A HIGH 1033 00:38:55,383 --> 00:39:00,822 PRIORITY HERE AT THE NIH 1034 00:39:00,822 --> 00:39:01,156 OVERALL. 1035 00:39:01,156 --> 00:39:04,192 NTHANKS VERY MUCH AND IT'S NOT 1036 00:39:04,192 --> 00:39:06,294 LIKE THE AGENCIES ALONE HAVE 1037 00:39:06,294 --> 00:39:07,796 SILOS, THOSE KINDS OF SILOS 1038 00:39:07,796 --> 00:39:11,399 EXIST OUT HERE IN THE NOT FOR 1039 00:39:11,399 --> 00:39:12,601 PROFIT AND THE UNIVERSITIES AND 1040 00:39:12,601 --> 00:39:14,869 WHATEVER, SO IT'S SORT OF LIKE, 1041 00:39:14,869 --> 00:39:16,137 ANYTHING THAT WE'RE DOING TO 1042 00:39:16,137 --> 00:39:18,273 KIND OF BREAK DOWN THOSE 1043 00:39:18,273 --> 00:39:20,442 BARRIERS THAT ARISE, I THINK IS 1044 00:39:20,442 --> 00:39:21,543 GREAT AND I REALLY APPRECIATE 1045 00:39:21,543 --> 00:39:27,115 THE WORK THAT'S GOING ON HERE. 1046 00:39:27,115 --> 00:39:33,822 >> THANK YOU. 1047 00:39:33,822 --> 00:39:34,756 THANK YOU. 1048 00:39:34,756 --> 00:39:36,725 AND I MIGHT WANT TO BRING UP 1 1049 00:39:36,725 --> 00:39:39,294 OF THE COMMENTS THAT WAS MADE BY 1050 00:39:39,294 --> 00:39:41,596 1 OF OUR COINCIDENCE ILLEGALS 1051 00:39:41,596 --> 00:39:42,631 MEMBERS WHICH WAS A CONTRIBUTION 1052 00:39:42,631 --> 00:39:43,732 BY THE COMMUNITY FOR THE AREA OF 1053 00:39:43,732 --> 00:39:46,001 SCIENCE THAT WE ARE SUPPORTING 1054 00:39:46,001 --> 00:39:48,370 TOO AND HOW NECESSARY THAT IS 1055 00:39:48,370 --> 00:39:50,372 AND HOW WE -- THIS MAY HAVE TO 1056 00:39:50,372 --> 00:39:52,440 DEAL WITH PART OF THIS 1057 00:39:52,440 --> 00:39:56,711 INNOVATION ACROSS THE NIH IN 1058 00:39:56,711 --> 00:39:59,547 THAT AREA THAT WE DO NEED TO 1059 00:39:59,547 --> 00:40:00,582 HAVE BETTER EFFORTS AND THINK 1060 00:40:00,582 --> 00:40:05,887 MORE OUTSIDE THE BOX ON HOW WE 1061 00:40:05,887 --> 00:40:07,355 CAN COMMUNICATE THE ADVANCES 1062 00:40:07,355 --> 00:40:09,090 THAT HAVE BEEN AND ALL THE 1063 00:40:09,090 --> 00:40:11,993 SUCCESSES THAT HAVE OCCURRED 1064 00:40:11,993 --> 00:40:14,262 WITH THE RESEARCH THAT OUR 1065 00:40:14,262 --> 00:40:17,699 MEMBERS AND OUR COMMUNITY HAS 1066 00:40:17,699 --> 00:40:18,933 ACCOMPLISHED OVER RECENT YEARS 1067 00:40:18,933 --> 00:40:21,870 TO SEND THAT MESSAGE OUT AS 1068 00:40:21,870 --> 00:40:26,274 HOPEFUL MESSAGE TO CROSS ALL OF 1069 00:40:26,274 --> 00:40:30,612 OUR -- THE U.S. AND THE WORLD. 1070 00:40:30,612 --> 00:40:31,680 SO ANOTHER VERY IMPORTANT ASPECT 1071 00:40:31,680 --> 00:40:34,349 THAT WAS BROUGHT UP. 1072 00:40:34,349 --> 00:40:35,684 >> AND AS A FOLLOW UP TO WHAT 1073 00:40:35,684 --> 00:40:38,353 YOU JUST SAID, I THINK WE ALL 1074 00:40:38,353 --> 00:40:40,455 APPRECIATE AND I KNOW OUR MAJOR 1075 00:40:40,455 --> 00:40:43,858 GOAL COLLECTIVELY AND THAT OF 1076 00:40:43,858 --> 00:40:46,361 NIA IS TO ENHANCE DIVERSITY AND 1077 00:40:46,361 --> 00:40:48,096 INCLUSION AND TO THAT END, WE 1078 00:40:48,096 --> 00:40:49,531 HAVE HEARD MANY TIMES THAT WE 1079 00:40:49,531 --> 00:40:51,800 NEED TO TAKE RESEARCH WHERE 1080 00:40:51,800 --> 00:40:53,868 PEOPLE ARE, RATHER THAN PEOPLE 1081 00:40:53,868 --> 00:40:55,904 COMING TO YOU KNOW ACADEMIC 1082 00:40:55,904 --> 00:40:56,738 MEDICAL CENTERS FOR DATA 1083 00:40:56,738 --> 00:40:58,907 COLLECTION AND THAT TAKES US TO 1084 00:40:58,907 --> 00:41:00,075 REMOTE HOME BASE DATA COLLECTION 1085 00:41:00,075 --> 00:41:01,976 AND I THINK THAT'S BEEN TALKED 1086 00:41:01,976 --> 00:41:03,945 ABOUT, WRITTEN ABOUT, I KNOW 1087 00:41:03,945 --> 00:41:06,081 THAT NIH IS INVESTING HEAVILY IN 1088 00:41:06,081 --> 00:41:07,215 THIS AREA AS WELL. 1089 00:41:07,215 --> 00:41:09,417 I WAS A BIT SURPRISED THAT THE 1090 00:41:09,417 --> 00:41:12,787 ACADEMY REPORT DID NOT MAYBE 1091 00:41:12,787 --> 00:41:14,756 HAVE THE FINE PRINT IN THERE BUT 1092 00:41:14,756 --> 00:41:18,693 I WONDER IF IN THAT AREA HOME 1093 00:41:18,693 --> 00:41:19,627 BASE REMOTE DATA COLLECTION WHAT 1094 00:41:19,627 --> 00:41:21,763 MIGHT BE SOME FUTURE PLANS 1095 00:41:21,763 --> 00:41:23,798 BECAUSE THERE'S SO MUCH TO BE 1096 00:41:23,798 --> 00:41:27,402 SORTED OUT THAT METHOD OF DATA 1097 00:41:27,402 --> 00:41:28,903 COLLECTION IS STILL IN EARLY 1098 00:41:28,903 --> 00:41:30,305 STAGES AND I THINK A LOT THAT 1099 00:41:30,305 --> 00:41:31,573 NEEDS TO BE DONE. 1100 00:41:31,573 --> 00:41:33,608 CAN YOU SHARE SOME PLANS IN THAT 1101 00:41:33,608 --> 00:41:36,678 AREA FOR NIA. 1102 00:41:36,678 --> 00:41:37,746 >> SO SANJAY, YOU'RE ABSOLUTELY 1103 00:41:37,746 --> 00:41:39,381 RIGHT THIS IS AN IMPORTANT AREA 1104 00:41:39,381 --> 00:41:39,981 OF RESEARCH. 1105 00:41:39,981 --> 00:41:42,384 I WOULD SAY IT'S PART OF A 1106 00:41:42,384 --> 00:41:45,320 LARGER DISCUSSION ABOUT HOW WE 1107 00:41:45,320 --> 00:41:46,154 CAN BRING RESEARCH, 1108 00:41:46,154 --> 00:41:48,056 PARTICIPATION OF RESEARCH AND 1109 00:41:48,056 --> 00:41:49,591 THE OUTCOMES OF RESEARCH TO 1110 00:41:49,591 --> 00:41:51,526 DIVERSE POPULATIONS THAT ARE 1111 00:41:51,526 --> 00:41:54,262 SOMETIMES NOT SO ACCESSIBLE. 1112 00:41:54,262 --> 00:41:55,797 INCORPORATED IN THIS, SOME OF 1113 00:41:55,797 --> 00:41:58,066 THE SUBCHALLENGES IF YOU WILL BE 1114 00:41:58,066 --> 00:42:02,404 ARE THE ISSUES OF TRUST, AND 1115 00:42:02,404 --> 00:42:04,305 INFORMED CONSENT THAT GO WITH 1116 00:42:04,305 --> 00:42:05,774 THESE KINDS OF EFFORTS. 1117 00:42:05,774 --> 00:42:08,042 SO IDEALLY WE WOULD LIKE TO HAVE 1118 00:42:08,042 --> 00:42:10,311 INFORMATION FROM DIVERSITY OF 1119 00:42:10,311 --> 00:42:13,014 U.S. POPULATIONS TO INFORM OUR 1120 00:42:13,014 --> 00:42:15,884 RESEARCH AND IN TURN BE THE 1121 00:42:15,884 --> 00:42:17,152 RECIPIENTS OF APPROPRIATELY 1122 00:42:17,152 --> 00:42:17,986 STUDIED OUTCOMES OF THAT 1123 00:42:17,986 --> 00:42:20,054 RESEARCH, BUT TO DO THIS IN A 1124 00:42:20,054 --> 00:42:22,023 WAY WHERE WE CAN TRACK 1125 00:42:22,023 --> 00:42:24,292 LONGITUDINALLY AND I THINK THIS 1126 00:42:24,292 --> 00:42:25,827 GROUP IN PARTICULAR IS VERY MUCH 1127 00:42:25,827 --> 00:42:29,130 AWARE OF THAT, MEANS TRACKING, 1128 00:42:29,130 --> 00:42:32,100 RECONTACTING, DOING ALL THIS 1129 00:42:32,100 --> 00:42:34,569 WHILE PROTECTING PERSONAL 1130 00:42:34,569 --> 00:42:35,870 IDENTIFIERS IS A CHALLENGE, VERY 1131 00:42:35,870 --> 00:42:37,038 MUCH BEING WORKED ON AS YOU KNOW 1132 00:42:37,038 --> 00:42:39,808 BUT THE WAYS IN WHICH DATA 1133 00:42:39,808 --> 00:42:45,447 STRATEGIES AND IN FACT, WHAT WE 1134 00:42:45,447 --> 00:42:47,449 HEAR LATER FROM SHAW AND THE 1135 00:42:47,449 --> 00:42:49,184 PASTIER AHEAD OF INFORMATION 1136 00:42:49,184 --> 00:42:50,452 TECHNOLOGY HERE AT NIH, THE 1137 00:42:50,452 --> 00:42:55,723 METHOD WE HAVE FOR PRESERVING 1138 00:42:55,723 --> 00:42:57,459 PRIVACY WHILE RECONTACT 1139 00:42:57,459 --> 00:42:59,194 LONGITUDINAL SIDES ALL 1140 00:42:59,194 --> 00:43:01,563 MAINTAINING THE TRUST OF THE 1141 00:43:01,563 --> 00:43:04,332 POPULATIONS WE WORK WITH IS A 1142 00:43:04,332 --> 00:43:05,366 MAJOR CONTRIBUTION TO THE 1143 00:43:05,366 --> 00:43:07,235 INSTITUTE AND YOUR PARTICIPATION 1144 00:43:07,235 --> 00:43:08,636 AS WIDE COUNCILORS TO US WILL BE 1145 00:43:08,636 --> 00:43:11,773 VERY IMPORTANT IN THIS REGARD AS 1146 00:43:11,773 --> 00:43:12,307 WELL. 1147 00:43:12,307 --> 00:43:12,607 >> YEAH. 1148 00:43:12,607 --> 00:43:15,810 >> AND RICHARD IT'S NOT JUST 1149 00:43:15,810 --> 00:43:17,345 DATA COLLECTION BUT ALSO 1150 00:43:17,345 --> 00:43:19,414 BIOSPECIMENS THAT ARE COLLECTED 1151 00:43:19,414 --> 00:43:21,449 AT PARTICIPANTS HOMES IT JUST 1152 00:43:21,449 --> 00:43:23,685 REALLY INCREASE ACCESS TO THOSE 1153 00:43:23,685 --> 00:43:25,053 SPECIMENS BECAUSE WE GO TO THEIR 1154 00:43:25,053 --> 00:43:29,958 MEMORY CLONE, COLLECT IT AND SO 1155 00:43:29,958 --> 00:43:30,425 ON. 1156 00:43:30,425 --> 00:43:30,825 >> DARREN? 1157 00:43:30,825 --> 00:43:32,627 >> YEAH, I WAS GOING TO SAY IN 1158 00:43:32,627 --> 00:43:35,163 THE AGING SPACE BUT I ALSO 1159 00:43:35,163 --> 00:43:36,531 PARTICIPATE IN OUR COMPREHENSIVE 1160 00:43:36,531 --> 00:43:38,867 CANCER CENTER AT MAYO CLINIC AND 1161 00:43:38,867 --> 00:43:40,168 OVER THE LAST 5 YEARS THEY'VE 1162 00:43:40,168 --> 00:43:41,636 BEEN REALLY BEEN PUTTING A TON 1163 00:43:41,636 --> 00:43:44,272 OF EFFORT INTO A PROGRAM THAT'S 1164 00:43:44,272 --> 00:43:45,373 CALLED CANCER CARE BEYOND WALLS 1165 00:43:45,373 --> 00:43:46,975 WHERE THEY DO A LOT OF CLINICAL 1166 00:43:46,975 --> 00:43:48,643 TRIALS IN THE PATIENT'S HOME AND 1167 00:43:48,643 --> 00:43:50,144 THEY SEEMINGLY HAVE COME UP WITH 1168 00:43:50,144 --> 00:43:52,547 SOME REALLY GREAT OPTIONS FOR 1169 00:43:52,547 --> 00:43:55,016 EVENT DOING COLLECTION OF 1170 00:43:55,016 --> 00:43:56,417 SAMPLES AND SO FORTH AT THE 1171 00:43:56,417 --> 00:43:58,920 PERSON'S HOUSE THAT GETS SENT IN 1172 00:43:58,920 --> 00:44:01,189 SO I SEE THIS AS AN AREA THAT AS 1173 00:44:01,189 --> 00:44:02,590 LOT OF INTEREST BUT THERE'S ALSO 1174 00:44:02,590 --> 00:44:03,825 A LOT OF NEW TOOLS THAT ARE 1175 00:44:03,825 --> 00:44:05,326 COMING AVAILABLE THAT ARE MAKING 1176 00:44:05,326 --> 00:44:07,662 MUCH MORE ACCESSIBLE FOR US TO 1177 00:44:07,662 --> 00:44:08,630 POTENTIALLY GET INVOLVED IN MORE 1178 00:44:08,630 --> 00:44:12,800 OF THESE THAT MAY BE IN AN 1179 00:44:12,800 --> 00:44:14,068 ELDERLY CARE SETTING OR 1180 00:44:14,068 --> 00:44:15,236 DIFFERENT SITUATIONS THAT AREN'T 1181 00:44:15,236 --> 00:44:16,404 REQUIRED TO BRING PEOPLE INTO 1182 00:44:16,404 --> 00:44:18,006 THE ACTUAL CLINIC SO I GUESS 1183 00:44:18,006 --> 00:44:19,541 IT'S A TO BE DETERMINED KIND OF 1184 00:44:19,541 --> 00:44:22,076 THING AND THE PLATFORM OF IT 1185 00:44:22,076 --> 00:44:23,978 BUILDING FIRST OFF OF CANCER, I 1186 00:44:23,978 --> 00:44:25,680 GUESS MAKES SENSE BECAUSE IF YOU 1187 00:44:25,680 --> 00:44:26,981 CAN DELIVER CHEMO THERAPEUTICS 1188 00:44:26,981 --> 00:44:27,916 WITHOUT HAVING THE PERSON COME 1189 00:44:27,916 --> 00:44:29,784 IN MAKES A LOT OF SENSE. 1190 00:44:29,784 --> 00:44:31,052 NOW OBVIOUSLY THE NEXT STEP 1191 00:44:31,052 --> 00:44:39,160 WOULD BE WHAT ELSE CAN WE DO IN 1192 00:44:39,160 --> 00:44:39,761 THAT PARTICULAR PLACE. 1193 00:44:39,761 --> 00:44:41,229 >> THANK YOU FOR THAT DARREN. 1194 00:44:41,229 --> 00:44:43,865 REALLY I THINK AN IMPORTANT 1195 00:44:43,865 --> 00:44:45,166 INITIATIVE IN THE CANCER 1196 00:44:45,166 --> 00:44:46,768 INSTITUTE AND DOING SOMETHING WE 1197 00:44:46,768 --> 00:44:49,871 ALL WILL HOPE TO MODEL AGAINST, 1198 00:44:49,871 --> 00:44:51,606 TOO, AND THAT'S WHAT A LOT OF 1199 00:44:51,606 --> 00:44:52,607 THE DISCUSSIONS THAT ARE GOING 1200 00:44:52,607 --> 00:44:59,447 ON AT THE NIH RIGHT NOW IS, WHAT 1201 00:44:59,447 --> 00:45:00,281 TYPES OF INNOVATIVE THINGS THAT 1202 00:45:00,281 --> 00:45:03,251 ARE GOING ON IN THE INSTITUTE 1203 00:45:03,251 --> 00:45:05,687 THAT WE CAN ALL UTILIZE AND 1204 00:45:05,687 --> 00:45:07,221 MODEL AGAINST, TOO, AND COMBIN 1205 00:45:07,221 --> 00:45:08,856 OUR RESOURCES IN ORDER TO MAKE 1206 00:45:08,856 --> 00:45:11,359 THOSE TYPES OF THINGS HAPPEN. 1207 00:45:11,359 --> 00:45:14,862 SO IT IS A GREAT EFFORT, ALL 1 1208 00:45:14,862 --> 00:45:17,732 THAT WE ARE AWARE OF AND 1209 00:45:17,732 --> 00:45:21,669 THINKING ABOUT OURSELVES. 1210 00:45:21,669 --> 00:45:23,171 SO THANKS. 1211 00:45:23,171 --> 00:45:23,471 >> LIZ? 1212 00:45:23,471 --> 00:45:24,572 >> THANKS DARREN, FOLLOWING ON 1213 00:45:24,572 --> 00:45:27,208 THAT COMMENT, JUST WANTED TO 1214 00:45:27,208 --> 00:45:28,843 SHARE SORT OF 2-POINTS: ONE, WE 1215 00:45:28,843 --> 00:45:30,211 DO HAVE QUITE A LOT OF 1216 00:45:30,211 --> 00:45:34,349 EXPERIENCE IN MANY OF OUR 1217 00:45:34,349 --> 00:45:35,249 LONGITUDINAL STUDIES, GOING INTO 1218 00:45:35,249 --> 00:45:42,790 THE HOME AND CAPTURING CLINICAL 1219 00:45:42,790 --> 00:45:43,625 SPECIMENS WITH FAIR INTENSITY 1220 00:45:43,625 --> 00:45:45,927 YOU WILL HEAR ABOUT THAT FROM 1 1221 00:45:45,927 --> 00:45:50,064 OF OUR SPEAKERS TODAY BUT MANY 1222 00:45:50,064 --> 00:45:51,899 OF OUR PEOPLE COLLECT IN THE 1223 00:45:51,899 --> 00:45:55,303 FIELD UNDER UNUSUAL CONDITIONS 1224 00:45:55,303 --> 00:45:56,137 AND INTERNATIONALLY SPECIAL SO 1225 00:45:56,137 --> 00:45:57,872 WE HAVE A WIDE NETWORK OF 1226 00:45:57,872 --> 00:45:59,440 RESEARCHERS IN THAT SPACE. 1227 00:45:59,440 --> 00:46:01,376 ADDITIONALLY WHILE THE NATIONAL 1228 00:46:01,376 --> 00:46:03,044 ACADEMIES REPORT FOCUSED ON 1229 00:46:03,044 --> 00:46:04,512 PREVENTION AND TREATMENT 1230 00:46:04,512 --> 00:46:05,446 INTERVENTIONS WE ALSO SUPPORT A 1231 00:46:05,446 --> 00:46:08,116 LOT OF WORK ON DEMENTIA CARE 1232 00:46:08,116 --> 00:46:09,817 INTERVENTIONS AND MUCH OF THAT 1233 00:46:09,817 --> 00:46:12,120 IS DELIVERED IN THE HOME OR IN 1234 00:46:12,120 --> 00:46:13,287 THE PLACES WHERE PEOPLE LIVE AND 1235 00:46:13,287 --> 00:46:15,490 SO WE'RE VERY HIGHLY ATTUNED 1236 00:46:15,490 --> 00:46:16,958 GIVEN THIS VULNERABLE 1237 00:46:16,958 --> 00:46:18,993 POPULATION, THAT CAN'T ALWAYS 1238 00:46:18,993 --> 00:46:20,728 TRAVEL TO CLINICS FOR 1239 00:46:20,728 --> 00:46:23,464 INTERVENTIONS, ABOUT THE NEED TO 1240 00:46:23,464 --> 00:46:24,966 BRING TOOLS AND INTERVENTIONS TO 1241 00:46:24,966 --> 00:46:32,173 THE PLACES WHERE PEOPLE ARE. 1242 00:46:32,173 --> 00:46:33,307 >> EXACTLY. 1243 00:46:33,307 --> 00:46:37,712 THANK YOU LIZ. 1244 00:46:37,712 --> 00:46:39,347 AND ANOTHER EFFORT THAT HAS BEEN 1245 00:46:39,347 --> 00:46:40,381 STARTED AND ONGOING IN RECENT 1246 00:46:40,381 --> 00:46:42,717 YEARS AND WORK WITH PRIMARY 1247 00:46:42,717 --> 00:46:44,218 CAREGIVERS, TOO, WHICH ARE 1248 00:46:44,218 --> 00:46:47,088 REALLY, YOU KNOW EMBEDDED IN THE 1249 00:46:47,088 --> 00:46:49,290 COMMUNITY AND BEING ABLE TO 1250 00:46:49,290 --> 00:46:52,960 TRAIN THEM AND GET MORE -- 1251 00:46:52,960 --> 00:46:54,929 UNDERSTAND WHAT THE ISSUES ARE 1252 00:46:54,929 --> 00:46:57,999 IN WORKING WITH POPULATIONS THAT 1253 00:46:57,999 --> 00:47:00,635 THEY CARE FOR AND USING THAT AS 1254 00:47:00,635 --> 00:47:03,438 A RESOURCE TO ACTUALLY GET MORE 1255 00:47:03,438 --> 00:47:04,505 PEOPLE INTO CLINICAL TRIALS ET 1256 00:47:04,505 --> 00:47:08,609 CETERA, SO THAT IS CERTAINLY 1257 00:47:08,609 --> 00:47:10,411 ANOTHER HIGH PRIORITY ONGOING 1258 00:47:10,411 --> 00:47:13,815 EFFORT AND THROUGHOUT THE NIH 1259 00:47:13,815 --> 00:47:14,248 ACTUALLY. 1260 00:47:14,248 --> 00:47:16,818 >> CAN I ASK A FOLLOW UP 1261 00:47:16,818 --> 00:47:18,553 QUESTION THAT'S HIGHLY RELATED 1262 00:47:18,553 --> 00:47:21,489 TO THAT, KEN, AND LIZ, HAS THERE 1263 00:47:21,489 --> 00:47:23,157 BEEN ENGAGEMENT OF EMERGENCY 1264 00:47:23,157 --> 00:47:24,025 DEPARTMENT PHYSICIANS? 1265 00:47:24,025 --> 00:47:26,427 WE AT MAYO NOW IN OUR AGING 1266 00:47:26,427 --> 00:47:28,029 CENTER, WE HAVE CLINICIAN THAT 1267 00:47:28,029 --> 00:47:28,963 IS AN EMERGENCY DEPARTMENT THAT 1268 00:47:28,963 --> 00:47:32,533 IS PART OF OUR CENTER THAT THEY 1269 00:47:32,533 --> 00:47:34,168 ARE DOING AMAZING THINGS 1270 00:47:34,168 --> 00:47:36,571 ESSENTIALLY LOOKING AT RIIVES OF 1271 00:47:36,571 --> 00:47:38,239 DELERIUM AND ALL KINDS OF THINGS 1272 00:47:38,239 --> 00:47:40,208 THAT ARE HAPPENING IN MORE THE 1273 00:47:40,208 --> 00:47:41,843 ELDERLY POPULATION AND SO THE 1274 00:47:41,843 --> 00:47:43,111 PRIMARY CARES ARE VITAL OF 1275 00:47:43,111 --> 00:47:45,046 COURSE, BUT I THINK A LOT OF OUR 1276 00:47:45,046 --> 00:47:46,614 ELDERLY PEOPLE ALSO SHOW UP TO 1277 00:47:46,614 --> 00:47:48,483 THE EMERGENCY ROOM FOR GETTING 1278 00:47:48,483 --> 00:47:50,718 THEIR CARE AS WELL, AND MIGHT BE 1279 00:47:50,718 --> 00:47:52,553 KIND OF A GAP THAT MIGHT BE 1280 00:47:52,553 --> 00:47:52,787 MISSED. 1281 00:47:52,787 --> 00:47:54,856 I JUST DON'T KNOW WHETHER 1282 00:47:54,856 --> 00:47:55,456 THERE'S REAL ACTIVE 1283 00:47:55,456 --> 00:47:57,825 OPPORTUNITIES IN THAT SPACE. 1284 00:47:57,825 --> 00:48:00,461 >> I MEAN THERE ARE PROJECTS 1285 00:48:00,461 --> 00:48:02,530 THAT ARE FOCUSING ON EMERGENCY 1286 00:48:02,530 --> 00:48:04,398 CARE UTILIZATION, AMONG THE 1287 00:48:04,398 --> 00:48:05,566 ELDERLY,A LOT OF THE SORT OF 1288 00:48:05,566 --> 00:48:08,302 MAYBE MODEL CITIZEN TENTIALLY 1289 00:48:08,302 --> 00:48:09,570 UNNECESSARY TRANSFERS ARE FROM 1290 00:48:09,570 --> 00:48:11,405 PLACE OF RESIDENTS TO THE 1291 00:48:11,405 --> 00:48:12,774 EMERGENCY ROOM, THERE ARE MANY 1292 00:48:12,774 --> 00:48:16,844 PEOPLE WHO RELY ON EMERGENCY 1293 00:48:16,844 --> 00:48:18,045 ROOM CARE, AS THEIR PRIMARY 1294 00:48:18,045 --> 00:48:19,380 SOURCE OF CARE SO THERE ARE A 1295 00:48:19,380 --> 00:48:20,681 NUMBER OF PROJECTS LOOKING AT 1296 00:48:20,681 --> 00:48:22,483 THAT, THERE HAVE ALSO BEEN SOME 1297 00:48:22,483 --> 00:48:24,485 EFFORT RELATED TO ELDER ABUSE, 1298 00:48:24,485 --> 00:48:25,553 DETECTION AND EMERGENCY CARE 1299 00:48:25,553 --> 00:48:27,755 SETTINGS, I DON'T HAVE A SORT OF 1300 00:48:27,755 --> 00:48:29,390 A COMPREHENSIVE ANALYSIS OF THAT 1301 00:48:29,390 --> 00:48:30,792 BUT IF THAT WERE SOMETHING YOU 1302 00:48:30,792 --> 00:48:33,528 WERE INTERESTED IN WE COULD TAKE 1303 00:48:33,528 --> 00:48:34,028 A LOOK. 1304 00:48:34,028 --> 00:48:44,472 >> THANKS FOR THAT LIZ. 1305 00:48:45,873 --> 00:48:47,408 >> GOING BACK TO DR. BAKER AND 1306 00:48:47,408 --> 00:48:48,476 CONVERSATION ABOUT THE MODELS 1307 00:48:48,476 --> 00:48:50,978 GOING INTO THE HOMES, I'M GOING 1308 00:48:50,978 --> 00:48:53,114 TO GO OUT TO HERE THAT THIS IS 1309 00:48:53,114 --> 00:48:55,016 ALREADY HAPPENING AND JUST 1310 00:48:55,016 --> 00:48:58,019 WANTED TO OFFER ANOTHER EXAMPLE 1311 00:48:58,019 --> 00:49:03,457 THAT IN THE PAST 8 YEARS, THE 1312 00:49:03,457 --> 00:49:04,192 DOMINANTLY ALZHEIMER'S DISEASE 1313 00:49:04,192 --> 00:49:06,828 NETWORK HAS BEEN DOING WORK, AND 1314 00:49:06,828 --> 00:49:07,862 THE POPULATIONS THEY'VE BEEN 1315 00:49:07,862 --> 00:49:09,263 WORKING WITH ARE VERY UNIQUE AND 1316 00:49:09,263 --> 00:49:12,099 YOU HAVE TO GO TO WHERE THEY 1317 00:49:12,099 --> 00:49:12,266 ARE. 1318 00:49:12,266 --> 00:49:13,568 SO THEY'VE BEEN DOING THAT AND 1319 00:49:13,568 --> 00:49:18,706 WE'VE BEEN DOING THAT, WE SIT IN 1320 00:49:18,706 --> 00:49:20,942 THEIR STEERING COMMITTEE AND 1321 00:49:20,942 --> 00:49:22,543 RESEARCH PARTICIPANTS BUT, NO, 1322 00:49:22,543 --> 00:49:24,045 I'M REALLY GLAD TO HEAR ALL 1323 00:49:24,045 --> 00:49:25,213 THESE OTHER EFFORTS THAT ARE 1324 00:49:25,213 --> 00:49:25,680 BEING DONE. 1325 00:49:25,680 --> 00:49:27,215 I THINK THERE ARE MODELS OUT 1326 00:49:27,215 --> 00:49:28,382 THERE THAT HAVE BEEN SUCCESSFUL 1327 00:49:28,382 --> 00:49:30,751 AND I IT COULD BE REPLICATED SO 1328 00:49:30,751 --> 00:49:31,185 THAT'S WONDERFUL. 1329 00:49:31,185 --> 00:49:36,257 I JUST WANT TO OFFER THAT. 1330 00:49:36,257 --> 00:49:37,992 >> GREAT, THANK YOU. 1331 00:49:37,992 --> 00:49:41,162 YES, TREMENDOUS EFFORT. 1332 00:49:41,162 --> 00:49:42,830 ALL RIGHT, AND I SEE IN THE 1333 00:49:42,830 --> 00:49:48,102 CHAT, WE DO HAVE 1 QUESTION 1334 00:49:48,102 --> 00:49:49,904 DR. KAHN, WOULD YOU LIKE TO ASK 1335 00:49:49,904 --> 00:49:55,509 A QUESTION? 1336 00:49:55,509 --> 00:49:56,043 >> SURE. 1337 00:49:56,043 --> 00:49:58,212 AS I WROTE, YOU ALL HAVE BEEN 1338 00:49:58,212 --> 00:50:00,281 READING ABOUT THIS, I AM DEEPLY 1339 00:50:00,281 --> 00:50:01,449 CONCERNED, TO BE HONEST WITH 1340 00:50:01,449 --> 00:50:03,084 YOU, I COME TO THESE MEETINGS AS 1341 00:50:03,084 --> 00:50:06,621 A STUDENT AND I LEARN SO MUCH 1342 00:50:06,621 --> 00:50:07,722 EVERY TIME. 1343 00:50:07,722 --> 00:50:09,223 THE REMARKABLE WORK THAT IS 1344 00:50:09,223 --> 00:50:11,826 BEING DONE, ALL SUPPORTED BY 1345 00:50:11,826 --> 00:50:15,029 PUBLIC FUNDS AND I AM CONCERNED 1346 00:50:15,029 --> 00:50:19,000 ABOUT THE PROPOSED REDUCTIONS TO 1347 00:50:19,000 --> 00:50:22,036 THE NIH BUDGET AND I WONDER AS A 1348 00:50:22,036 --> 00:50:24,639 NACA MEMBER, WHAT CAN WE DO? 1349 00:50:24,639 --> 00:50:35,182 I AM NEW AT THIS, SO JUST ASKING 1350 00:50:38,886 --> 00:50:39,186 SOME ADVICE. 1351 00:50:39,186 --> 00:50:40,588 >> RICHARD DO YOU WANT TO START? 1352 00:50:40,588 --> 00:50:42,323 I'M GOING TO PASS THE BUCK ON 1353 00:50:42,323 --> 00:50:46,560 THIS 1. 1354 00:50:46,560 --> 00:50:48,963 >> FIRST OF ALL THE SUPPORT IS 1355 00:50:48,963 --> 00:50:51,365 APPRECIATIVE IN MANY WAYS, AND 1356 00:50:51,365 --> 00:50:52,066 YOU'RE GOVERNMENT EMPLOYEES LIKE 1357 00:50:52,066 --> 00:50:54,335 THE REST OF US IN THAT ROLE 1358 00:50:54,335 --> 00:50:56,203 CAN'T BE LOBBYING AND 1359 00:50:56,203 --> 00:50:56,504 ADVOCATING. 1360 00:50:56,504 --> 00:50:58,339 WE KNOW IN YOUR OTHER ROLES IN 1361 00:50:58,339 --> 00:51:02,710 YOUR OTHER LIFE, YOU DO SO AND 1362 00:51:02,710 --> 00:51:04,478 WE APPRECIATE THIS. 1363 00:51:04,478 --> 00:51:07,748 FOR OURSELVES, WE THINK OUR BEST 1364 00:51:07,748 --> 00:51:09,717 ARGUMENT IN TERMS OF THE PUBLIC 1365 00:51:09,717 --> 00:51:11,085 SUPPORT IS TO CONTINUE TO CARRY 1366 00:51:11,085 --> 00:51:12,853 OUT THE KIND OF RESEARCH, REPORT 1367 00:51:12,853 --> 00:51:13,921 THAT RESEARCH AND LET IT BE 1368 00:51:13,921 --> 00:51:17,458 KNOWN WHAT WE'RE DOING IN SUCH A 1369 00:51:17,458 --> 00:51:19,961 WAY THAT IT IS SUPPORTED AND 1370 00:51:19,961 --> 00:51:24,465 REGARD TO YOU AS AMBASSADORS AND 1371 00:51:24,465 --> 00:51:25,099 APPROPRIATE AMBASSADORS DURING 1372 00:51:25,099 --> 00:51:26,600 YOUR TIME ON COUNCIL AND OTHER 1373 00:51:26,600 --> 00:51:27,868 HOURS DURING THE YEAR AS WELL IN 1374 00:51:27,868 --> 00:51:28,369 THAT ROLE. 1375 00:51:28,369 --> 00:51:29,804 I THINK THAT'S WHAT I NEED TO 1376 00:51:29,804 --> 00:51:31,439 SAY, CERTAINLY IF BUNLETS ARE 1377 00:51:31,439 --> 00:51:33,107 CUT, IF THEY DON'T INCREASE, 1378 00:51:33,107 --> 00:51:34,575 WE'LL HAVE A CHALLENGE OF DOING 1379 00:51:34,575 --> 00:51:36,210 THE BEST WE CAN BUT THAT IS WHAT 1380 00:51:36,210 --> 00:51:37,945 WE WILL DO WITH WHATEVER 1381 00:51:37,945 --> 00:51:39,647 RESOURCES WE HAVE, THE CHARGE IS 1382 00:51:39,647 --> 00:51:40,681 THE SAME. 1383 00:51:40,681 --> 00:51:44,485 TO PRIORITIZE AND MAKE THE BEST 1384 00:51:44,485 --> 00:51:46,487 USE WE CAN, WITH THE HIGHEST 1385 00:51:46,487 --> 00:51:50,591 PRIORITIZATION FOR THE RESOURCES 1386 00:51:50,591 --> 00:51:51,359 AVAILABLE. 1387 00:51:51,359 --> 00:51:54,061 >> CAN I MAKE 1 MORE COMMENT? 1388 00:51:54,061 --> 00:51:57,531 >> THE CONVERSATION WAS 1389 00:51:57,531 --> 00:51:58,899 FASCINATING ABOUT TAKING SCIENCE 1390 00:51:58,899 --> 00:51:59,834 TO THE PEOPLE'S HOME. 1391 00:51:59,834 --> 00:52:02,303 I WILL SAY THIS THAT I'VE WORKED 1392 00:52:02,303 --> 00:52:05,806 IF RURAL OKLAHOMA FOR 30 YEARS 1393 00:52:05,806 --> 00:52:10,077 AND I'VE LIVED THERE FOR 10 1394 00:52:10,077 --> 00:52:11,612 YEARS, SO, PEOPLE GENERALLY 1395 00:52:11,612 --> 00:52:14,448 SPEAKING ARE -- THEY'RE NOT 1396 00:52:14,448 --> 00:52:15,516 ANTISCIENCE BUT THEY'RE -- IT 1397 00:52:15,516 --> 00:52:19,286 TAKES THEM A WHILE TO START TO 1398 00:52:19,286 --> 00:52:25,292 TRUST SCIENTISTS AND THE 1399 00:52:25,292 --> 00:52:25,760 RESEARCH ENTERPRISE. 1400 00:52:25,760 --> 00:52:27,595 AND I THINK IT WILL BE A GREAT 1401 00:52:27,595 --> 00:52:28,963 IDEA FOR HELEN'S GROUP OR 1402 00:52:28,963 --> 00:52:31,932 SOMEBODY AT NIA TO HAVE A FEW 1403 00:52:31,932 --> 00:52:35,202 LISTENING SESSIONS IN RURAL 1404 00:52:35,202 --> 00:52:40,174 AMERICA AND CREATE SOME KIND OF 1405 00:52:40,174 --> 00:52:43,010 COMMUNITY ADVISORY BOARD MADE UP 1406 00:52:43,010 --> 00:52:44,545 OF MAJORITY OF PEOPLE WHO LIVE 1407 00:52:44,545 --> 00:52:46,614 IN RURAL PARTS OF THE UNITED 1408 00:52:46,614 --> 00:52:50,451 STATES AND FOR NATIVE AMERICAN 1409 00:52:50,451 --> 00:52:51,585 THERE'S HISTORIC DISTRUST FOR 1410 00:52:51,585 --> 00:52:52,720 RESEARCH AND SCIENCE AND 1411 00:52:52,720 --> 00:52:54,722 GOVERNMENT IN GENERAL AND 1412 00:52:54,722 --> 00:52:55,890 UNFORTUNATELY, A LOT OF RURAL 1413 00:52:55,890 --> 00:52:57,358 OKLAHOMA IS THAT WAY. 1414 00:52:57,358 --> 00:53:03,097 SO WE LEARNED A LOT DURING THE 1415 00:53:03,097 --> 00:53:04,665 COVID PANDEMIC. 1416 00:53:04,665 --> 00:53:08,302 IT WAS YOU KNOW, WHAT WE FOUND 1417 00:53:08,302 --> 00:53:10,137 IN THAT -- 1 OF THE KEY 1418 00:53:10,137 --> 00:53:11,272 EXPERIENCE WE HAD, A LOT OF 1419 00:53:11,272 --> 00:53:13,774 CONVERSATION WAS THAT THEY DO -- 1420 00:53:13,774 --> 00:53:16,977 DO NOT TRUST POLITICIANS OR 1421 00:53:16,977 --> 00:53:19,914 OTHER FOLKS BUT THEY DO TRUST 1422 00:53:19,914 --> 00:53:20,681 COMMUNITY LEADERS. 1423 00:53:20,681 --> 00:53:24,885 IF 1 OF THEM MAKE A POINT THAT 1424 00:53:24,885 --> 00:53:28,656 THIS IS OKAY, THEN IT HAD -- CAN 1425 00:53:28,656 --> 00:53:30,057 CARRIES A LOT OF WEIGHT TO THEM. 1426 00:53:30,057 --> 00:53:34,462 SO ANYWAY, JUST A THOUGHT, BUT, 1427 00:53:34,462 --> 00:53:35,629 I HUNDRED PERCENT SUPPORT THE 1428 00:53:35,629 --> 00:53:36,664 IDEA OF TAKING SCIENCE AND 1429 00:53:36,664 --> 00:53:39,600 RESEARCH TO WHERE PEOPLE ARE, 1430 00:53:39,600 --> 00:53:42,169 SOMEBODY MADE THAT COMMENT, I 1431 00:53:42,169 --> 00:53:42,670 LOVED IT. 1432 00:53:42,670 --> 00:53:46,040 SO JUST WANT TO MAKE THAT POINT. 1433 00:53:46,040 --> 00:53:47,908 >> OKAY, WE WILL TAKE THOSE 1434 00:53:47,908 --> 00:53:50,911 COMMENTS, TOO, IN TERMS OF 1435 00:53:50,911 --> 00:53:53,080 SUGGESTIONS FOR SPEAKERS AT THE 1436 00:53:53,080 --> 00:53:54,515 NIH LEVEL AND BEYOND WHO ARE 1437 00:53:54,515 --> 00:53:57,017 INVOLVED IN SOME OF THESE MORE 1438 00:53:57,017 --> 00:54:00,087 SPECIFICALLY WE MIGHT INVITE TO 1439 00:54:00,087 --> 00:54:02,389 UPCOMING SESSIONS OF OUR 1440 00:54:02,389 --> 00:54:02,623 COUNCIL. 1441 00:54:02,623 --> 00:54:07,194 >> RICHARD, COULD I ADD BECAUSE 1442 00:54:07,194 --> 00:54:08,929 I THINK SOMEONE SAID SOMETHING 1443 00:54:08,929 --> 00:54:11,799 VERY IMPORTANT THAT WE SHOULD 1444 00:54:11,799 --> 00:54:15,736 ALL AS IN OUR LIVES OUTSIDE OF 1445 00:54:15,736 --> 00:54:18,038 BEING ON NACA, SO WE'RE ON NACA 1446 00:54:18,038 --> 00:54:21,008 FOR A CERTAIN NUMBER OF DAYS PER 1447 00:54:21,008 --> 00:54:22,243 YEAR, PAY ATTENTION TOO WHICH IS 1448 00:54:22,243 --> 00:54:25,279 AS PEOPLE IN OUR OWN COMMUNITIES 1449 00:54:25,279 --> 00:54:26,714 WITH PROBABLY GREATER KNOWLEDGE 1450 00:54:26,714 --> 00:54:34,255 OF THE SCIENCE THAT IS ONGOING 1451 00:54:34,255 --> 00:54:40,761 AT NIH, WE CAN SO FEEL MAKE A 1452 00:54:40,761 --> 00:54:42,696 CONCERTED EFFORT TO EDUCATE OUR 1453 00:54:42,696 --> 00:54:43,797 FRIENDS AND COLLEAGUES AS TO THE 1454 00:54:43,797 --> 00:54:44,832 IMPORTANCE OF THE SCIENCE AND TO 1455 00:54:44,832 --> 00:54:50,004 DO SO IN WAYS THAT ARE VERY SORT 1456 00:54:50,004 --> 00:54:51,739 OF PLAIN LANGUAGE, NOT BOGGED 1457 00:54:51,739 --> 00:54:55,743 DOWN IN THE SCIENCE OF THE 1458 00:54:55,743 --> 00:54:56,010 SCIENCE. 1459 00:54:56,010 --> 00:54:59,813 SO AS AN EXAMPLE, I GIVE JEFF 1460 00:54:59,813 --> 00:55:04,618 WILLIAMSON GAVE OUR HENDERSON 1461 00:55:04,618 --> 00:55:06,287 LECTURE AT THE MEETING LAST WEEK 1462 00:55:06,287 --> 00:55:08,355 AND AS MANY PEOPLE KNOW, HE'S 1463 00:55:08,355 --> 00:55:11,759 HAD A LONG STANDING INTEREST IN 1464 00:55:11,759 --> 00:55:12,359 RESEARCH ON CARDIOVASCULAR 1465 00:55:12,359 --> 00:55:15,729 DISEASE WITH A PARTICULAR FOCUS 1466 00:55:15,729 --> 00:55:17,565 ON BLOOD PRESSURE AND AT THE END 1467 00:55:17,565 --> 00:55:19,600 OF HIS LECTURE, I ENCOURAGED HIM 1468 00:55:19,600 --> 00:55:21,335 IF HE WAS ASKED TO WRITE IT UP 1469 00:55:21,335 --> 00:55:24,305 FOR THE JOURNAL OF THE AMERICAN 1470 00:55:24,305 --> 00:55:25,906 GERIATRIC SOCIETY, TO WRITE THAT 1471 00:55:25,906 --> 00:55:28,542 TALK UP IN PLAIN LANGUAGE, 1472 00:55:28,542 --> 00:55:30,344 BECAUSE PEOPLE ACTUALLY REALLY 1473 00:55:30,344 --> 00:55:31,178 UNDERSTAND THE CONCEPT OF BLOOD 1474 00:55:31,178 --> 00:55:34,648 PRESSURE AND THE NEED TO 1475 00:55:34,648 --> 00:55:35,816 REGULATE IT, BUT WHAT THEY MAY 1476 00:55:35,816 --> 00:55:38,752 NOT UNDERSTAND IS THE IMPORTANT 1477 00:55:38,752 --> 00:55:41,088 ROLE THAT NIA HAD IN SUPPORTING 1478 00:55:41,088 --> 00:55:42,923 HIS RESEARCH, THE KIND OF 1479 00:55:42,923 --> 00:55:46,961 RESEARCH THAT JEFF DOES OVER THE 1480 00:55:46,961 --> 00:55:48,896 LONG-TERM BECAUSE IT'S I THINK 1481 00:55:48,896 --> 00:55:51,298 THE VALUE OF FEDERAL INVESTMENT 1482 00:55:51,298 --> 00:55:55,102 IS REALLY IN THAT LONG STANDING, 1483 00:55:55,102 --> 00:55:58,539 LONG INVESTMENT AND NOT IN SORT 1484 00:55:58,539 --> 00:55:59,940 OF -- WE'RE INVESTING IN 1485 00:55:59,940 --> 00:56:01,875 RESEARCH AND IT'S GOT A SHORT 1486 00:56:01,875 --> 00:56:06,146 TIMELINE SO WE NEED TO BRING 1487 00:56:06,146 --> 00:56:07,414 SOMETHING TO MARKET AND I THINK 1488 00:56:07,414 --> 00:56:09,850 THE MORE WE CAN SIMPLIFY WHAT 1489 00:56:09,850 --> 00:56:11,619 NIH AND NIA ARE INVESTING IN 1490 00:56:11,619 --> 00:56:14,321 INTO CONCEPTS AND THINGS THAT 1491 00:56:14,321 --> 00:56:15,689 THE AMERICAN PUBLIC UNDERSTAND, 1492 00:56:15,689 --> 00:56:18,525 THE MORE THEY WILL UNDERSTAND 1493 00:56:18,525 --> 00:56:20,794 THE VALUE OF THE RESEARCH THAT 1494 00:56:20,794 --> 00:56:28,235 IS SUPPORTED BY THE FEDERAL 1495 00:56:28,235 --> 00:56:32,539 GOVERNMENT. 1496 00:56:32,539 --> 00:56:33,173 >> THANK YOU, NANCY. 1497 00:56:33,173 --> 00:56:34,942 >> I -- YOU KNOW ON THE NIA 1498 00:56:34,942 --> 00:56:39,480 WEBSITE, JUDGE UOF -- JUST ON E 1499 00:56:39,480 --> 00:56:40,814 SAME THAT NANCY WAS TALKING 1500 00:56:40,814 --> 00:56:44,451 ABOUT, IF THERE'S A PLACE WHERE 1501 00:56:44,451 --> 00:56:45,486 NONSCIENTISTS, LAY PEOPLE CAN GO 1502 00:56:45,486 --> 00:56:49,490 AND READ ABOUT THE WORK OF NIA 1503 00:56:49,490 --> 00:56:51,759 SCIENTISTS, AND REALLY, REALLY 1504 00:56:51,759 --> 00:56:55,596 SIMPLE LAY MAN TERMINOLOGY, I 1505 00:56:55,596 --> 00:56:58,432 CHAIR THE CHEROKEE IRB AND EVERY 1506 00:56:58,432 --> 00:57:00,134 PROJECT THAT WE APPROVE AND 1507 00:57:00,134 --> 00:57:02,136 SUPPORT WE ASK THE RESEARCHER TO 1508 00:57:02,136 --> 00:57:04,338 PROVOID A 1 PAGE LAY SUMMARY AND 1509 00:57:04,338 --> 00:57:08,309 IT'S A 1 PAGE LAY SUMMARY, NOT 1510 00:57:08,309 --> 00:57:11,679 FOR SCIENTISTS, NOT FOR YOU KNOW 1511 00:57:11,679 --> 00:57:12,613 HIGHLY EDUCATED PEOPLE, IT'S 1512 00:57:12,613 --> 00:57:14,815 JUST FOR LAY PEOPLE, AND IT 1513 00:57:14,815 --> 00:57:17,851 TALKS ABOUT THIS WAS THE 1514 00:57:17,851 --> 00:57:19,486 RESEARCH, THIS IS HOW IT WAS 1515 00:57:19,486 --> 00:57:22,056 DONE, THIS IS HOW IT WAS 1516 00:57:22,056 --> 00:57:24,591 RELEVANT TO CHEROKEE PEOPLE, AND 1517 00:57:24,591 --> 00:57:27,094 THIS WAS FOUND AND IF THERE'S 1518 00:57:27,094 --> 00:57:27,961 ANYTHING FUTURE THAT THEY PLAN 1519 00:57:27,961 --> 00:57:29,897 TO DO OR FOLLOW UP STUDY OR 1520 00:57:29,897 --> 00:57:30,364 WHATEVER. 1521 00:57:30,364 --> 00:57:34,501 IT'S JUST A 1 PAGER AND REALLY, 1522 00:57:34,501 --> 00:57:35,235 REALLY SIMPLE. 1523 00:57:35,235 --> 00:57:37,805 WE JUST CALL IT COMMUNITY 1524 00:57:37,805 --> 00:57:38,472 SUMMARY, OR LAY SUMMARY. 1525 00:57:38,472 --> 00:57:42,142 AND I THINK IF THERE'S A PLACE 1526 00:57:42,142 --> 00:57:46,847 AT NIA AND MAYBE EVERY NIH 1527 00:57:46,847 --> 00:57:48,682 INSTITUTE WHERE LAY PEOPLE AND 1528 00:57:48,682 --> 00:57:53,220 START DIRECTING PEOPLE TOWARDS 1529 00:57:53,220 --> 00:57:54,388 THAT, WHERE, HEY, THIS IS THE 1530 00:57:54,388 --> 00:57:55,422 WORK WE'RE DOING AND THIS IS THE 1531 00:57:55,422 --> 00:57:56,957 PLACE CAN YOU GO AND A LOT OF 1532 00:57:56,957 --> 00:58:00,027 PEOPLE AS WE KNOW NOW ESPECIALLY 1533 00:58:00,027 --> 00:58:01,462 YOUNG PEOPLE THE WAY THEY GET 1534 00:58:01,462 --> 00:58:04,031 THEIR INFORMATION IS THROUGH 1535 00:58:04,031 --> 00:58:06,700 SOCIAL MEDIA AND STRONG 1536 00:58:06,700 --> 00:58:08,202 PRESENCE, MAYBE LINK THERE THAT 1537 00:58:08,202 --> 00:58:11,205 IF YOU WANT TO LEARN MORE ABOUT 1538 00:58:11,205 --> 00:58:13,340 THIS, GO HERE. 1539 00:58:13,340 --> 00:58:14,608 HERE'S A LINK TO IT. 1540 00:58:14,608 --> 00:58:18,779 AND A LOT OF YOUNG PEOPLE HAVE 1541 00:58:18,779 --> 00:58:22,516 -- I'M LEARNING IN MY OWN WORK 1542 00:58:22,516 --> 00:58:24,418 IS THAT THEY'RE INTO 1543 00:58:24,418 --> 00:58:26,387 INFORMATICS, YOU KNOW REALLY 1544 00:58:26,387 --> 00:58:27,020 NICE, CATCHY STUFF. 1545 00:58:27,020 --> 00:58:31,358 NOT A LOT OF JARGON, JUST YOU 1546 00:58:31,358 --> 00:58:33,460 KNOW PICTURES AND, MOJIs AND 1547 00:58:33,460 --> 00:58:36,497 THIS AND THAT. 1548 00:58:36,497 --> 00:58:38,298 I'M JUST LIKE, THESE ARE KIDS, 1549 00:58:38,298 --> 00:58:39,400 BUT THEY'RE INTO THAT KIND OF 1550 00:58:39,400 --> 00:58:41,902 STUFF AND MAYBE WE NEED TO YOU 1551 00:58:41,902 --> 00:58:43,504 KNOW START THINKING IN THOSE 1552 00:58:43,504 --> 00:58:46,740 TERMS BECAUSE YOU KNOW THE MORE 1553 00:58:46,740 --> 00:58:47,941 PEOPLE ARE EDUCATED. 1554 00:58:47,941 --> 00:58:51,178 I MEAN EVERYBODY IN THIS, ALL 27 1555 00:58:51,178 --> 00:58:53,113 PEOPLE HERE, WE PRETTY MUCH 1556 00:58:53,113 --> 00:58:56,116 THINK ALIKE, AND WE APPRECIATE 1557 00:58:56,116 --> 00:59:00,421 SAME THING AND WE APPRECIATE THE 1558 00:59:00,421 --> 00:59:01,388 RESEARCH ENTERPRISE BUT WE'RE 1559 00:59:01,388 --> 00:59:02,523 TALKING ABOUT TAKING OUTSIDE OF 1560 00:59:02,523 --> 00:59:04,491 THIS GROUP, HOW DO WE TAKE 1561 00:59:04,491 --> 00:59:05,726 INFORMATION THERE. 1562 00:59:05,726 --> 00:59:07,127 THERE'S A CADRE OF PEOPLE WHO 1563 00:59:07,127 --> 00:59:09,430 ARE OUT THERE, WE DON'T HAVE TO 1564 00:59:09,430 --> 00:59:10,130 CONVINCE ANYBODY. 1565 00:59:10,130 --> 00:59:12,866 THEY WILL ALREADY KNOW. 1566 00:59:12,866 --> 00:59:14,968 YOU KNOW, THAT MY GRANDFATHER, 1567 00:59:14,968 --> 00:59:17,371 MY GRANDMA, WHATEVER, YOU KNOW, 1568 00:59:17,371 --> 00:59:20,641 I GOTTA MAKE SURE THAT I'M MORE 1569 00:59:20,641 --> 00:59:21,842 ENGAGED IN SUPPORTING PEOPLE WHO 1570 00:59:21,842 --> 00:59:24,511 ARE DOING THIS KIND OF WORK. 1571 00:59:24,511 --> 00:59:28,048 JUST MY THOUGHT. 1572 00:59:28,048 --> 00:59:30,584 >> SO JUST AS A QUICK UPDATE, 1573 00:59:30,584 --> 00:59:32,186 THESE ARE SUCH IMPORTANT 1574 00:59:32,186 --> 00:59:33,220 COMMENTS YOU ARE MAKING. 1575 00:59:33,220 --> 00:59:36,757 I CAN TELL YOU THAT ALMOST ALL 1576 00:59:36,757 --> 00:59:38,759 THE ADRCs ARE VERY ACTIVE AT 1577 00:59:38,759 --> 00:59:43,564 SOCIAL MEDIA OUTLETS AND MOST F 1578 00:59:43,564 --> 00:59:44,798 THE ADRC WEBSITES WILL ARE A 1579 00:59:44,798 --> 00:59:45,999 SECTION FOR LAY PUBLIC AND I 1580 00:59:45,999 --> 00:59:49,102 THINK ALL THOSE THINGS ARE 1581 00:59:49,102 --> 00:59:49,937 ABSOLUTELY PIVOTAL AND THEY ARE 1582 00:59:49,937 --> 00:59:52,139 USED AND THEY ARE CHECKED IN BY 1583 00:59:52,139 --> 00:59:52,973 PUBLIC MULTIPLE TIMES AND I CAN 1584 00:59:52,973 --> 00:59:54,942 TELL YOU IN WISCONSIN AND 1585 00:59:54,942 --> 00:59:56,610 CERTAINLY ALL THE OTHER ADRCs 1586 00:59:56,610 --> 00:59:58,078 ARE VERY ACTIVE THERE, I SHOULD 1587 00:59:58,078 --> 00:59:59,213 ALSO TELL YOU THE COMMENT YOU 1588 00:59:59,213 --> 01:00:01,815 MADE ABOUT THE COMMUNITY 1589 01:00:01,815 --> 01:00:05,686 ADVISORY BOARDS, EVERY AD/RDC 1590 01:00:05,686 --> 01:00:06,386 HAS MULTIPLE COMMUNITY ADVISORY 1591 01:00:06,386 --> 01:00:11,024 BOARDS AND WHAT YOU SAID THEY 1592 01:00:11,024 --> 01:00:12,693 PLAY A 55ITAL ROLE IN EDUCATING 1593 01:00:12,693 --> 01:00:14,495 THE COMMUNITY IN THE AREA AND 1594 01:00:14,495 --> 01:00:16,129 ALSO REALLY SPREADING THE 1595 01:00:16,129 --> 01:00:17,264 SIGNIFICANCE OF PARTICIPATING IN 1596 01:00:17,264 --> 01:00:18,999 RESEARCH AND BRAIN DONATION AND 1597 01:00:18,999 --> 01:00:21,802 ALL KINDS OF THINGS SO ADRC IS 1598 01:00:21,802 --> 01:00:25,205 VERY ACTIVE IN 2 AREAS YOU 1599 01:00:25,205 --> 01:00:26,139 HIGHLIGHTED, THE ISSUE IS WE 1600 01:00:26,139 --> 01:00:28,242 HAVE TO TAKE IT BEYOND ADRCs 1601 01:00:28,242 --> 01:00:30,210 AND PERHAPS TO OTHER NIA 1602 01:00:30,210 --> 01:00:32,980 RESOURCES IT BED BE DONE BUT 1603 01:00:32,980 --> 01:00:33,914 ADRC'S COULD PROVIDE VERY 1604 01:00:33,914 --> 01:00:38,585 IMPORTANT INPUT IN THESE AREAS. 1605 01:00:38,585 --> 01:00:39,419 >> I APPRECIATE THE CONVERSATION 1606 01:00:39,419 --> 01:00:43,490 AND I WOULD ADD JUST AS WE VALUE 1607 01:00:43,490 --> 01:00:48,061 YOUR EXPERTISE AND YOUR ADVOCACY 1608 01:00:48,061 --> 01:00:49,496 AND JUDGMENTS ABOUT SCIENTIFIC 1609 01:00:49,496 --> 01:00:51,698 INITTIAIVE ITS WE PRESENT TO YOU 1610 01:00:51,698 --> 01:00:52,566 AND COMEBTS OR RECOMMENDATIONS 1611 01:00:52,566 --> 01:00:54,501 YOU MIGHT WANT TO MAKE TO US, 1612 01:00:54,501 --> 01:00:56,637 THAT IN TURN ARE READ AND SEEN 1613 01:00:56,637 --> 01:00:58,238 MORE BROADLY, IF YOU WANT TO 1614 01:00:58,238 --> 01:00:59,006 MAKE AND REINFORCE THE POINT 1615 01:00:59,006 --> 01:01:01,241 THAT YOU ARE ENGAGED IN RIGHT 1616 01:01:01,241 --> 01:01:05,646 NOW, ABOUT THE NEED FOR 1617 01:01:05,646 --> 01:01:06,513 COMMUNICATION AND OUTREACH, THIS 1618 01:01:06,513 --> 01:01:09,883 ALL WILL BE SEEN AND HEARD BY 1619 01:01:09,883 --> 01:01:11,919 US, BUT EQUALLY IMPORTANTLY BY 1620 01:01:11,919 --> 01:01:13,287 THE AUDIENCES WHO HAVE AN 1621 01:01:13,287 --> 01:01:15,155 OPPORTUNITY TO SEE THE 1622 01:01:15,155 --> 01:01:22,696 RECOMMENDATIONS BEING MADE BY 1623 01:01:22,696 --> 01:01:24,498 OUR ADVISORY COUNCIL. 1624 01:01:24,498 --> 01:01:24,865 >> ABSOLUTELY. 1625 01:01:24,865 --> 01:01:27,568 ALL RIGHT. 1626 01:01:27,568 --> 01:01:33,473 ANY OTHER COMMENTS? 1627 01:01:33,473 --> 01:01:34,641 >> IT'S CYNTHIA, I WOULD JUST 1628 01:01:34,641 --> 01:01:36,510 ADD TO THAT, NOT TO FORGET THOSE 1629 01:01:36,510 --> 01:01:37,778 OF US WHO LIVE ALONE. 1630 01:01:37,778 --> 01:01:39,746 WE TALK A LOT ABOUT CARE 1631 01:01:39,746 --> 01:01:40,914 PARTNERS, WE TALK ABOUT 1632 01:01:40,914 --> 01:01:43,317 DIFFERENT COMMUNITIES WHETHER 1633 01:01:43,317 --> 01:01:45,619 THEY BE RURAL, OR IN MAJOR 1634 01:01:45,619 --> 01:01:47,187 CITIES BUT MANY PEOPLE WHO ARE 1635 01:01:47,187 --> 01:01:48,589 LIVING WITH DEMENTIA AT ALL 1636 01:01:48,589 --> 01:01:50,390 STAGES ARE LIVING ALONE AND HOW 1637 01:01:50,390 --> 01:01:53,994 CAN WE MAKE SURE THAT WE'RE 1638 01:01:53,994 --> 01:01:56,229 SUPPORTING THEM AND NOT LEAVING 1639 01:01:56,229 --> 01:01:56,630 THEM OUT. 1640 01:01:56,630 --> 01:01:58,265 SOME PEOPLE DO HAVE FAMILY 1641 01:01:58,265 --> 01:01:59,800 NEARBY THAT IS ABLE TO STEP IN, 1642 01:01:59,800 --> 01:02:02,235 WHEN THE TIME COMES, OTHERS DO 1643 01:02:02,235 --> 01:02:02,569 NOT. 1644 01:02:02,569 --> 01:02:04,271 AND SO, YOU KNOW THINKING ABOUT 1645 01:02:04,271 --> 01:02:07,407 THAT GROUP OF PEOPLE, TOO, AS WE 1646 01:02:07,407 --> 01:02:09,443 TALK ABOUT REACHING OUT TO 1647 01:02:09,443 --> 01:02:11,311 DIFFERENT AREAS OF OUR COUNTRY 1648 01:02:11,311 --> 01:02:11,945 AND DIFFERENT POPULATIONS, I 1649 01:02:11,945 --> 01:02:15,148 JUST WANT TO MAKE SURE THAT WE 1650 01:02:15,148 --> 01:02:18,418 RECOGNIZE THAT AS WELL. 1651 01:02:18,418 --> 01:02:19,620 >> THANK YOU CYNTHIA. 1652 01:02:19,620 --> 01:02:21,588 VERY MUCH SO, VERY IMPORTANT. 1653 01:02:21,588 --> 01:02:23,857 AND JUST AGAIN REEMPHASIZES THE 1654 01:02:23,857 --> 01:02:31,398 IMPORTANCE OF HOW WE COMMUNICATE 1655 01:02:31,398 --> 01:02:32,599 AND THE DIFFERENT GROUPS 1656 01:02:32,599 --> 01:02:35,435 INVOLVED HERE AND IT'S NOT JUST 1657 01:02:35,435 --> 01:02:38,572 THE OLDER POPULATION, IT'S THOSE 1658 01:02:38,572 --> 01:02:40,440 PEOPLE WHO ARE SURROUNDING THEM, 1659 01:02:40,440 --> 01:02:45,112 TOO, WHO ARE THERE CAREGIVERS, 1660 01:02:45,112 --> 01:02:48,048 SO ALL WALKS OF LIFE TO 1661 01:02:48,048 --> 01:02:50,384 UNDERSTAND AS WAS MENTIONED, THE 1662 01:02:50,384 --> 01:02:51,385 SCIENCE, SOME OF THE RESEARCH 1663 01:02:51,385 --> 01:02:54,721 THAT'S GOING ON AND CAN HAVE 1664 01:02:54,721 --> 01:02:56,056 THOSE DISCUSSIONS WITH PEOPLE, 1665 01:02:56,056 --> 01:02:59,259 SO THIS IS JUST -- IT'S ACROSS 1666 01:02:59,259 --> 01:03:05,232 THE BOARD, AND THE IMPORTANCE IS 1667 01:03:05,232 --> 01:03:07,134 REALLY PARAMOUNT. 1668 01:03:07,134 --> 01:03:08,135 SO THANK YOU. 1669 01:03:08,135 --> 01:03:08,735 LIZ IN. 1670 01:03:08,735 --> 01:03:09,903 >> JUST TO THAT POINT, THERE IS 1671 01:03:09,903 --> 01:03:11,304 EVIDENT OF A GROWING NUMBER OF 1672 01:03:11,304 --> 01:03:16,343 ADULTS IN THE U.S. LIVING ALONE 1673 01:03:16,343 --> 01:03:17,644 AND THERE WAS GOOD TEAVENGZ TO 1674 01:03:17,644 --> 01:03:19,046 THE PEOPLE LIVING ALONE IN THE 1675 01:03:19,046 --> 01:03:20,681 COMMUNITY WITH DEMENTIA AT THE 1676 01:03:20,681 --> 01:03:23,617 MOST RECENT DEM-TEBURKEULOSEISIA 1677 01:03:23,617 --> 01:03:25,252 CARE SUMMIT -- DEMENTIA CARE 1678 01:03:25,252 --> 01:03:28,555 SUMMIT SO THESE TOPICS ARE ON 1679 01:03:28,555 --> 01:03:30,157 OUR RADAR IN A VARIETY OF ANGLES 1680 01:03:30,157 --> 01:03:32,359 SO I APPRECIATE YOU BRINGING 1681 01:03:32,359 --> 01:03:34,361 THIS TO ATTENTION IN THIS FORUM 1682 01:03:34,361 --> 01:03:34,895 AS WELL. 1683 01:03:34,895 --> 01:03:35,362 THANK YOU. 1684 01:03:35,362 --> 01:03:37,998 >> THANK YOU CYNTHIA AND LIZ. 1685 01:03:37,998 --> 01:03:38,699 VERY GOOD. 1686 01:03:38,699 --> 01:03:43,136 OKAY, I THINK WE HAVE OUR NEXT 1687 01:03:43,136 --> 01:03:43,370 SPEAKER. 1688 01:03:43,370 --> 01:03:48,408 WE ARE AHEAD OF SCHEDULE BUT I 1689 01:03:48,408 --> 01:03:55,415 REALLY APPRECIATE THIS 1690 01:03:55,415 --> 01:03:56,116 CONVERSATION REGARDING THE 1691 01:03:56,116 --> 01:03:57,317 PRIORITIES WE NEED TO PAY 1692 01:03:57,317 --> 01:03:58,952 ATTENTION TO AT NIA AND AT THE 1693 01:03:58,952 --> 01:04:02,322 NIH AND HOW IT RELATED TO THE 1694 01:04:02,322 --> 01:04:06,493 NASEM REPORT THAT WAS JUST 1695 01:04:06,493 --> 01:04:08,895 PRESENTED TOO, SO GREATLY 1696 01:04:08,895 --> 01:04:09,963 APPRECIATE ALL THE COMMENTS THAT 1697 01:04:09,963 --> 01:04:11,364 OUR MEMBERS HAVE PROVIEDMANNED 1698 01:04:11,364 --> 01:04:11,798 FOR US. 1699 01:04:11,798 --> 01:04:15,969 SO I'M GOING TO TURN IT OVER NOW 1700 01:04:15,969 --> 01:04:18,872 TO JOHN, JOHN PHILLIPS WHO WILL 1701 01:04:18,872 --> 01:04:29,349 INTRODUCE OUR NEXT SPEAKER. 1702 01:04:33,854 --> 01:04:33,987 JOHN? 1703 01:04:33,987 --> 01:04:35,956 >> CAN YOU HEAR ME? 1704 01:04:35,956 --> 01:04:43,563 >> YES SO DR. JESSICA PAULEY IS 1705 01:04:43,563 --> 01:04:44,831 WITH THE SURVEY RESEARCH CENTER 1706 01:04:44,831 --> 01:04:46,366 AND INSTITUTE FOR SOCIAL 1707 01:04:46,366 --> 01:04:47,567 RESEARCH AT UNIVERSITY OF 1708 01:04:47,567 --> 01:04:49,035 MICHIGAN, SHE WORKS ON 1709 01:04:49,035 --> 01:04:50,203 COLLECTION AND ANALYSIS OF 1710 01:04:50,203 --> 01:04:51,471 SALIVA AND BLOOD SAMPLES AND 1711 01:04:51,471 --> 01:04:54,608 DEVELOPMENT OF THE HRS GENETIC 1712 01:04:54,608 --> 01:04:55,776 AND EPIGENETIC DATA MANY OF 1713 01:04:55,776 --> 01:04:57,878 WHICH IS COLLECTED IN THE HOME 1714 01:04:57,878 --> 01:04:58,912 AS DISCUSSED EARLIER. 1715 01:04:58,912 --> 01:05:01,114 SHE SERVES AS A LEAD OF THE 1716 01:05:01,114 --> 01:05:04,217 BIOMARKER CORE FOR HARMONIZED 1717 01:05:04,217 --> 01:05:06,019 COGNITIVE ASETIONZMENT PROTOCOL 1718 01:05:06,019 --> 01:05:09,556 OR HCAB NETWORK THAT HARMONIZES 1719 01:05:09,556 --> 01:05:10,791 DEMETROPOLITANNIA MEASUREMENT 1720 01:05:10,791 --> 01:05:12,793 ACROSS THE STUDIES, AND AS THE 1721 01:05:12,793 --> 01:05:16,663 MPI OF THE NIA FUNDED BIOMARKER 1722 01:05:16,663 --> 01:05:19,032 NETWORK, TESTS NEW BIOMARKERS 1723 01:05:19,032 --> 01:05:20,801 AND HARMONIZES THE BI ONY 1724 01:05:20,801 --> 01:05:22,302 MARKERS ACROSS NA FUNDED 1725 01:05:22,302 --> 01:05:22,536 STUDIES. 1726 01:05:22,536 --> 01:05:25,806 IN HER SPARE TIME SHE CO-LEADS 2 1727 01:05:25,806 --> 01:05:26,807 NIA FUNDED WORKSHOPS ON 1728 01:05:26,807 --> 01:05:28,909 DENATIONAL 1729 01:05:28,909 --> 01:05:30,944 DENATIONAL LIBRARY OF MEDICINICS 1730 01:05:30,944 --> 01:05:33,113 FOR SOCIAL SCIENTISTS THAT 1731 01:05:33,113 --> 01:05:35,015 PROVIDE HANDS ON TRAINING FOR 1732 01:05:35,015 --> 01:05:36,883 SCIENCE RESEARCHER WHO IS WERE 1733 01:05:36,883 --> 01:05:40,187 TO INCORPORATE GENOMIC DATA INTO 1734 01:05:40,187 --> 01:05:41,488 THEIR RESEARCH. 1735 01:05:41,488 --> 01:05:44,057 THE DOCTORS INTERESTS ARE 1736 01:05:44,057 --> 01:05:45,091 EPIDEMIOLOGY, DEMOGRAPHY AND 1737 01:05:45,091 --> 01:05:45,358 ANALLING. 1738 01:05:45,358 --> 01:05:50,697 SHE WAS A GRANTOR OF GENES AND 1739 01:05:50,697 --> 01:05:52,833 COGNITIVE DECLINE AND CO LEADING 1740 01:05:52,833 --> 01:05:54,167 STUDY TO CHARACTERIZE 1741 01:05:54,167 --> 01:05:55,635 DISPARITIES AND ALZHEIMER'S 1742 01:05:55,635 --> 01:05:57,470 DISEASE RISK THROUGH AINAL SIS 1743 01:05:57,470 --> 01:06:00,207 OF POLYGENIC RISK SCORES AND 1744 01:06:00,207 --> 01:06:01,041 OTHER FACTORS. 1745 01:06:01,041 --> 01:06:03,810 TOGETHER WITH THE DATA TEAM SHE 1746 01:06:03,810 --> 01:06:06,780 ANALYZED DATA FOR MULTIPLE 1747 01:06:06,780 --> 01:06:08,982 GENOME WIDE DATA STUDIES SON 1748 01:06:08,982 --> 01:06:11,918 SOPHISTICATED ARE THIA USING A 1749 01:06:11,918 --> 01:06:13,587 VARIETY OF PHENOTYPES SHE ALSO 1750 01:06:13,587 --> 01:06:15,822 HAS SEVERAL GRANTS TO ANALYZE 1751 01:06:15,822 --> 01:06:17,657 AND COLLECT DNA METHYLATION DATA 1752 01:06:17,657 --> 01:06:20,660 EXCUSE ME, TO UNDERSTAND HOW 1753 01:06:20,660 --> 01:06:22,495 EPIGENETICS RELATES TO HEALTH 1754 01:06:22,495 --> 01:06:24,097 EXPOSURES AND HEALTH OUTCOMES, 1755 01:06:24,097 --> 01:06:27,367 SHE RECEIVED A Ph.D. AS WELL 1756 01:06:27,367 --> 01:06:30,003 AS MPh IN EPIDEMIOLOGY AND A 1757 01:06:30,003 --> 01:06:31,905 B. A. IN JAPANESE WHICH HAS A 1758 01:06:31,905 --> 01:06:33,573 STORY ASSOCIATED TO IT. 1759 01:06:33,573 --> 01:06:34,941 TODAY SHE WILL PRESENT HER WORK 1760 01:06:34,941 --> 01:06:42,382 WHAT WE LEARN BY ADDING 1761 01:06:42,382 --> 01:06:43,717 BIOLOGICAL TO A SOCIAL SCIENCE 1762 01:06:43,717 --> 01:06:46,253 SURVEY AND PLEASE HELP ME IN 1763 01:06:46,253 --> 01:06:48,355 WELCOMING DR. JESSICA PAUL. 1764 01:06:48,355 --> 01:06:49,856 >> THANK YOU JOHN, GIVE ME A 1765 01:06:49,856 --> 01:06:51,558 MOMENT WHILE I FIND THE RIGHT 1766 01:06:51,558 --> 01:06:51,791 WINDOW. 1767 01:06:51,791 --> 01:07:02,335 AS ALWAYS THE FUN PART OF THIS, 1768 01:07:08,008 --> 01:07:09,576 RIGHT? 1769 01:07:09,576 --> 01:07:11,678 CAN EVERYONE SEE ME AND THE 1770 01:07:11,678 --> 01:07:12,045 SLIDE? 1771 01:07:12,045 --> 01:07:12,479 >> YES. 1772 01:07:12,479 --> 01:07:13,246 >> THANK. 1773 01:07:13,246 --> 01:07:13,446 GREAT. 1774 01:07:13,446 --> 01:07:15,215 I AM EXCITED TO BE HERE TO TALK 1775 01:07:15,215 --> 01:07:16,683 TO ABOUT THE HEALTH AND 1776 01:07:16,683 --> 01:07:17,918 RETIREMENT STUDY AND HEALTH AND 1777 01:07:17,918 --> 01:07:19,719 RESEARCH I'M WORKING ON WITH MY 1778 01:07:19,719 --> 01:07:21,988 COLLABORATORS, I WAS JOKING WITH 1779 01:07:21,988 --> 01:07:23,390 MY FAMILY EARLIER IT FELT LIKE 1780 01:07:23,390 --> 01:07:27,894 BEING ASKED TO THE PROMULGATE. 1781 01:07:27,894 --> 01:07:30,130 JOHN ALREADY GAVE A GREAT 1782 01:07:30,130 --> 01:07:30,530 INTRODUCTION, VERY 1783 01:07:30,530 --> 01:07:31,164 COMPREHENSIVE. 1784 01:07:31,164 --> 01:07:32,132 I THINK THE POINT HERE IN THE 1785 01:07:32,132 --> 01:07:34,334 WORK I DO IS JUST A WEAR MANY 1786 01:07:34,334 --> 01:07:37,771 HATS, SO I THINK I'M HERE TODAY 1787 01:07:37,771 --> 01:07:39,539 WEARING MULTIPLES OF THOSE HATS, 1788 01:07:39,539 --> 01:07:41,274 BOTH AS A REPRESENTATIVE OF THE 1789 01:07:41,274 --> 01:07:44,878 HEALTH AND RETIREMENT STUDY BUT 1790 01:07:44,878 --> 01:07:47,614 ALSO IN MY RESEARCH LIFE, AS A 1791 01:07:47,614 --> 01:07:50,216 PERSON WHO USES THE DATA THAT 1792 01:07:50,216 --> 01:07:50,884 THE HRS PRODUCES. 1793 01:07:50,884 --> 01:07:52,886 SO THAT IS PRIMARILY WHAT I WILL 1794 01:07:52,886 --> 01:07:55,989 BE TALKING ABOUT TO YOU -- WITH 1795 01:07:55,989 --> 01:07:56,523 YOU TODAY. 1796 01:07:56,523 --> 01:07:58,124 SO MY OUTLINE FOR TODAY IS TO 1797 01:07:58,124 --> 01:07:59,893 GIVE YOU A BRIEF INTRODUCTION TO 1798 01:07:59,893 --> 01:08:02,195 THE HRS, AND THEN USING 1799 01:08:02,195 --> 01:08:04,030 EPIGENETIC DATA AS AN EXAMPLE, I 1800 01:08:04,030 --> 01:08:07,867 WANT TO TALK ABOUT WHAT BIOLOGY 1801 01:08:07,867 --> 01:08:09,536 ADDS TO OUR UNDERSTANDING OF 1802 01:08:09,536 --> 01:08:11,471 LATER LIFE OUTCOMES, HOW BIOLOGY 1803 01:08:11,471 --> 01:08:14,007 CAN PROVIDE A WINDOW INTO 1804 01:08:14,007 --> 01:08:16,543 UNMEASURED EXPOSURES, WHY HAVING 1805 01:08:16,543 --> 01:08:17,811 LONGITUDINAL DATA MATTERS, AND 1806 01:08:17,811 --> 01:08:20,447 REALLY HOW WE THINK ABOUT THE 1807 01:08:20,447 --> 01:08:23,283 INTEGRATION OF THE SOCIAL AND 1808 01:08:23,283 --> 01:08:25,318 THE BIOLOGICAL, SO, WHY HAVING 1809 01:08:25,318 --> 01:08:27,220 THESE DATA ON SOCIAL AND 1810 01:08:27,220 --> 01:08:28,188 BEHAVIORIAL FACTORS ALSO MATTERS 1811 01:08:28,188 --> 01:08:31,124 FOR OUR UNDERSTANDING OF 1812 01:08:31,124 --> 01:08:31,358 BIOLOGY. 1813 01:08:31,358 --> 01:08:33,927 I'LL TALK A LITTLE BIT ABOUT 1814 01:08:33,927 --> 01:08:36,262 RESEARCH IMPACT AND WITH WHAT 1815 01:08:36,262 --> 01:08:44,471 THE FUTURE HOLDS AT LEAST FOR 1816 01:08:44,471 --> 01:08:45,538 THE HIS. 1817 01:08:45,538 --> 01:08:47,774 SO THE OVERVIEW, THE HRS WAS 1818 01:08:47,774 --> 01:08:49,576 INITIALLY SUPPORTED BY CONGRESS 1819 01:08:49,576 --> 01:08:51,678 IN 1980 AND IT'S BEEN GOING ON 1820 01:08:51,678 --> 01:08:52,212 SINCE THEN. 1821 01:08:52,212 --> 01:08:55,148 IT IS LARGEST AND MOST 1822 01:08:55,148 --> 01:08:56,349 COMPREHENSIVE PANEL STUDY OF 1823 01:08:56,349 --> 01:08:56,950 AMERICANS OVER AGE 50. 1824 01:08:56,950 --> 01:08:58,585 IT IS FUNDED BY THE NATIONAL 1825 01:08:58,585 --> 01:08:59,386 EN--STRATEGIESITUTE ON AGING 1826 01:08:59,386 --> 01:09:02,188 WITH SUPPORT FROM THE SOCIAL 1827 01:09:02,188 --> 01:09:04,257 SECURITY ADMINISTRATION IS LED 1828 01:09:04,257 --> 01:09:06,326 BY KEN LINGA AND DAVID WE'RE, 1829 01:09:06,326 --> 01:09:08,428 OUR PROGRAM OFFICER IS JOHN 1830 01:09:08,428 --> 01:09:09,596 PHILLIPS AND OUR PROJECT 1831 01:09:09,596 --> 01:09:10,296 SCIENTIST IS JON KING. 1832 01:09:10,296 --> 01:09:14,200 SO WE HAVE A GREAT TEEM OF 1833 01:09:14,200 --> 01:09:15,902 LEADERS, IT'S A 1834 01:09:15,902 --> 01:09:16,870 MULTIDISCIPLINARY STUDY FOCUSED 1835 01:09:16,870 --> 01:09:19,873 ON 5 BROAD TOPICS, ECONOMIC 1836 01:09:19,873 --> 01:09:22,942 RESOURCES, HEALTH AND USE OF 1837 01:09:22,942 --> 01:09:24,010 HEALTH SERVICES, COGNITION, WORK 1838 01:09:24,010 --> 01:09:25,111 AND RETIREMENT AND FAMILY 1839 01:09:25,111 --> 01:09:26,679 CONNECTIONS SO IT'S A 1840 01:09:26,679 --> 01:09:27,680 COMPREHENSIVE SURVEY. 1841 01:09:27,680 --> 01:09:30,683 THE HRS DATA ARE ALSO LINKED TO 1842 01:09:30,683 --> 01:09:32,485 ADMINISTRATE OF RECORDS FROM 1843 01:09:32,485 --> 01:09:34,621 SOCIAL SECURITY, MEDICARE, 1844 01:09:34,621 --> 01:09:35,455 MEDICAID, VA, NATIONAL DEATH 1845 01:09:35,455 --> 01:09:38,892 ENDEXTRAN SULFATE AND EMPLOYER 1846 01:09:38,892 --> 01:09:40,727 PROVIDED PENSION PLANS. 1847 01:09:40,727 --> 01:09:42,595 SINCE 2006, THE DATA COLLECTION 1848 01:09:42,595 --> 01:09:44,831 EXPANDED GREATLY TO INCLUDE 1849 01:09:44,831 --> 01:09:46,599 BIOMARKERS AND GENETICS, 1850 01:09:46,599 --> 01:09:48,168 INCREASED PSYCHOSOCIAL CONTENT 1851 01:09:48,168 --> 01:09:49,135 AND EXPANDED COGNITIVE 1852 01:09:49,135 --> 01:09:51,304 ASSESSMENT THROUGH THE 1853 01:09:51,304 --> 01:09:52,472 HARMONIZED COGNITIVE ASSESSMENT 1854 01:09:52,472 --> 01:09:53,006 PROTOCOL. 1855 01:09:53,006 --> 01:09:56,109 WE NOW ALSO ARE EXPANDING OUR 1856 01:09:56,109 --> 01:09:58,611 LINKS TO CONTEXTURAL DATA USING 1857 01:09:58,611 --> 01:09:59,746 GEOCODED RESIDENTIAL DATA BOTH 1858 01:09:59,746 --> 01:10:00,747 ARE PARTICIPANTS IN THE TIME 1859 01:10:00,747 --> 01:10:02,248 THEY'VE BEEN IN THE SURVEY, BUT 1860 01:10:02,248 --> 01:10:03,750 ALSO USING OUR LIFE HISTORY 1861 01:10:03,750 --> 01:10:07,053 QUESTIONNAIRE WHERE WE GET A 1862 01:10:07,053 --> 01:10:09,689 COMPLETE RESIDENTIAL DATA 1863 01:10:09,689 --> 01:10:10,623 HISTORY ON EVERYONE. 1864 01:10:10,623 --> 01:10:12,492 SO THE OVERALL DESIGN OF THE 1865 01:10:12,492 --> 01:10:14,828 STUDY AS I MENTIONED WERE 1866 01:10:14,828 --> 01:10:16,096 NATIONALLY REPRESENTATIVE BUT WE 1867 01:10:16,096 --> 01:10:17,630 HAVE OVERSAMPLES OF BLACK AND 1868 01:10:17,630 --> 01:10:19,399 HISPANIC INDIVIDUALS TO FACAS 1869 01:10:19,399 --> 01:10:23,436 TILL SILLITATE ANALYSIS OF THOSE 1870 01:10:23,436 --> 01:10:23,703 SUBGROUPS. 1871 01:10:23,703 --> 01:10:25,438 OUR BASE LINE INTERVIEWS ARE 1872 01:10:25,438 --> 01:10:26,773 WITH COMMUNITY DWELLING 1873 01:10:26,773 --> 01:10:28,141 INDIVIDUALS BUT IF PARTICIPANTS 1874 01:10:28,141 --> 01:10:29,476 MOVE INTO A NURSING HOME DURING 1875 01:10:29,476 --> 01:10:30,977 THE TIME WE'RE IN THE STUDY WE 1876 01:10:30,977 --> 01:10:34,681 FOLLOW THEM AND INTERVIEW THEM 1877 01:10:34,681 --> 01:10:35,048 THERE. 1878 01:10:35,048 --> 01:10:39,853 INTERVIEW INDIVIDUALS AND THEIR 1879 01:10:39,853 --> 01:10:43,223 SPOUSES AND PARTNERS EVERY 2 1880 01:10:43,223 --> 01:10:45,492 YEARS UNTIL TIME OF DEATH AND 1881 01:10:45,492 --> 01:10:47,594 WE'RE MULTIMODAL INTERVIEW, O IN 1882 01:10:47,594 --> 01:10:48,661 PERSON, TELEPHONE, BY MAIL AND 1883 01:10:48,661 --> 01:10:49,229 ON THE WEB. 1884 01:10:49,229 --> 01:10:52,632 WE INTRODUCE A NEW 6 YEAR BIRTH 1885 01:10:52,632 --> 01:10:54,134 COHORT OF PARTICIPANTS EVERY 6 1886 01:10:54,134 --> 01:10:56,803 YEARS TO MAINTAIN OUR STUDY 1887 01:10:56,803 --> 01:10:58,972 STATE AND REPRESENTATIVE AND WE 1888 01:10:58,972 --> 01:11:02,242 USE PROXY RESPONDENTS FOR 1889 01:11:02,242 --> 01:11:04,277 DECLINING HEALTH OR COGNITION. 1890 01:11:04,277 --> 01:11:05,612 AND FINALLY WE DO GREWS WITH THE 1891 01:11:05,612 --> 01:11:07,413 FAMILIES LYE FOLLOWING THE DEATH 1892 01:11:07,413 --> 01:11:08,882 OF A PARTICIPANT TO FEEBD OUT 1893 01:11:08,882 --> 01:11:10,083 MOSTLY ABOUT WHAT HAPPENED IN 1894 01:11:10,083 --> 01:11:14,754 THE LAST 6 MONTHS OF LIFE. 1895 01:11:14,754 --> 01:11:17,323 AS I MKSED IN 2006, WE ADDED A 1896 01:11:17,323 --> 01:11:19,859 LOT OF NEW THINGS ISSUES 1897 01:11:19,859 --> 01:11:21,227 PHYSICAL MEASURES, DRIED BLOOD 1898 01:11:21,227 --> 01:11:22,328 SPOTS AND GENETICS. 1899 01:11:22,328 --> 01:11:23,496 IN TERMS OF PHYSICAL MEASURES WE 1900 01:11:23,496 --> 01:11:24,831 HAVE A SECTION OF THE SURVEY WE 1901 01:11:24,831 --> 01:11:30,837 DO IN THE PARTICIPANTS HOME 1902 01:11:30,837 --> 01:11:32,872 WHERE WHERE WE MEASURE BLOOD 1903 01:11:32,872 --> 01:11:34,574 PRESSURE, BREATHING TEST, GRIP 1904 01:11:34,574 --> 01:11:36,543 STRENGTH BALANCE TESTS HEIGHT, 1905 01:11:36,543 --> 01:11:43,449 WEIGHT, WAIST CIRCUMFERENCE AND 1906 01:11:43,449 --> 01:11:45,385 TIMED WALK, WE ALSO CHECK THOSE 1907 01:11:45,385 --> 01:11:47,687 AND ANALYZE THEM FOR A SMALL SET 1908 01:11:47,687 --> 01:11:51,090 OF CLINICALLY RELEVANT ASSAYS. 1909 01:11:51,090 --> 01:11:55,395 WHILE WE'RE IN THE HOME, WE ALSO 1910 01:11:55,395 --> 01:11:56,930 COLLECT SALIVARY DNA FOR GENETIC 1911 01:11:56,930 --> 01:11:58,298 ANALYSIS AND WE USED THIS 1912 01:11:58,298 --> 01:12:04,871 INFORMATION TO RUN THE ILLUMINA 1913 01:12:04,871 --> 01:12:07,974 HUMAN OMNI ARRAYS AND WE HAVE 1914 01:12:07,974 --> 01:12:11,177 20,000 IN THE REPOSITORY NOW AND 1915 01:12:11,177 --> 01:12:12,779 WE HAVE ABOUT 2.5 MILLION 1916 01:12:12,779 --> 01:12:14,447 VARIANTS MEASURED BUT WE ALSO 1917 01:12:14,447 --> 01:12:17,083 SPECIFICALLY GENOTYPE FOR APOE. 1918 01:12:17,083 --> 01:12:20,053 BECAUSE IT DOESN'T WORK WELL 1919 01:12:20,053 --> 01:12:21,754 WITH THE ILLUMENNA ASSAYS BUT 1920 01:12:21,754 --> 01:12:22,989 IT'S IMPORTANT FOR US TO HAVE IN 1921 01:12:22,989 --> 01:12:24,657 EMERGING ITS OF PHENOTYPES. 1922 01:12:24,657 --> 01:12:26,526 ALL DATA ARE DISTRIBUTED 1923 01:12:26,526 --> 01:12:31,564 PUBLICLY THROUGH VARIOUS NIBE H 1924 01:12:31,564 --> 01:12:33,633 SUPPORTED REPOSITORY, INCLUDING 1925 01:12:33,633 --> 01:12:34,801 DBGAP AND OTHERS. 1926 01:12:34,801 --> 01:12:36,569 IN 2016 WE SWITCHED COURSES A 1927 01:12:36,569 --> 01:12:37,003 LITTLE BIT. 1928 01:12:37,003 --> 01:12:40,273 WE FELT THAT WE COULD DO MORE IF 1929 01:12:40,273 --> 01:12:41,407 WE HAD VENUS BLOOD COLLECTION, 1930 01:12:41,407 --> 01:12:44,077 SOPHISTICATEDY WE STARTED DOING 1931 01:12:44,077 --> 01:12:47,580 VENUS BLOOD COLLECTION IN 2016 1932 01:12:47,580 --> 01:12:55,888 AND WE CONTRACTED IT OUT TO A 1933 01:12:55,888 --> 01:13:00,660 FLEBOT ME COMPANY, SO WE COLLECT 1934 01:13:00,660 --> 01:13:03,663 OUR SAMPLES, WE'RE STILL USING 6 1935 01:13:03,663 --> 01:13:04,464 TUBES, WITH 50-MILLILITERS OF 1936 01:13:04,464 --> 01:13:05,798 BLOOD, WE SEND IT TO THE LAB AT 1937 01:13:05,798 --> 01:13:07,934 THE UNIVERSITY OF MIN MACHINE 1938 01:13:07,934 --> 01:13:11,604 WITHIN 24 HOURS AND THEN, WE 1939 01:13:11,604 --> 01:13:15,308 ASSAY SOME OF WHAT WE HAVE 1940 01:13:15,308 --> 01:13:17,110 COLLECTED TO RETURN ABOUT 25 1941 01:13:17,110 --> 01:13:18,478 DIFFERENT TESTS OF PARTICIPANTS 1942 01:13:18,478 --> 01:13:19,112 WITHIN 2 WEEKS. 1943 01:13:19,112 --> 01:13:20,813 WE HAVE A WHOLE SET OF RESEARCH 1944 01:13:20,813 --> 01:13:22,949 ASSAYS THAT WE DO AND THEN WE 1945 01:13:22,949 --> 01:13:24,417 BANK A LOT OF MATERIAL, PROBABLY 1946 01:13:24,417 --> 01:13:26,519 ABOUT HALF THAT WE COLLECT IN A 1947 01:13:26,519 --> 01:13:29,856 REPOSITORY FOR FUTURE USE. 1948 01:13:29,856 --> 01:13:33,226 ALL TOLD WE HAVE ABOUT 80 1949 01:13:33,226 --> 01:13:35,295 BIOMARKERS, YOU KNOW FROM THE 1950 01:13:35,295 --> 01:13:36,429 VENUS BLOOD, FROM THE FIZZERAL 1951 01:13:36,429 --> 01:13:37,563 MEASURES THAT WE DO THAT ARE 1952 01:13:37,563 --> 01:13:39,666 ONGOING AND PART OF OUR DATA 1953 01:13:39,666 --> 01:13:40,633 COLLECTION TO DATE. 1954 01:13:40,633 --> 01:13:42,702 THIS IS A REALLY OVERFLOWING 1955 01:13:42,702 --> 01:13:44,570 SLIDE BUT I JUST WANT TO YOU TO 1956 01:13:44,570 --> 01:13:45,772 GET A SENSE OF REALLY THE SCOPE 1957 01:13:45,772 --> 01:13:48,541 OF WHAT WE'RE DOING AND THE 1958 01:13:48,541 --> 01:13:48,908 BREDTH. 1959 01:13:48,908 --> 01:13:52,345 SO WE'RE COVERING A LOT OF 1960 01:13:52,345 --> 01:13:53,646 THINGS FROM CARDIO METABOLIC 1961 01:13:53,646 --> 01:13:56,716 ASSAYS TO SPECIFIC TESTS ON 1962 01:13:56,716 --> 01:13:57,684 NEURODEGENERATION, AND I WOULD 1963 01:13:57,684 --> 01:13:59,285 ALSO LIKE TO POINT OUT THAT WE 1964 01:13:59,285 --> 01:14:02,255 ARE UNIQUE IN HOW DETAILED WE 1965 01:14:02,255 --> 01:14:02,822 ARE CHARACTERIZING IMMUNE 1966 01:14:02,822 --> 01:14:04,257 FUNCTION ON SUCH A LARGE SAMPLE 1967 01:14:04,257 --> 01:14:08,027 SO WE DO FLOW CYTOMETRY TO DO A 1968 01:14:08,027 --> 01:14:09,295 COMPLETE CELL CENSUS OF ALL 1969 01:14:09,295 --> 01:14:11,130 THESE DIFFERENT TYPES OF CELLS 1970 01:14:11,130 --> 01:14:14,367 AND AGAIN, MAKE THIS ALL 1971 01:14:14,367 --> 01:14:23,509 AVAILABLE FOR RESEARCHERS TO 1972 01:14:23,509 --> 01:14:23,676 USE. 1973 01:14:23,676 --> 01:14:26,312 SO TODAY I WANT TO FOCUS ON 1974 01:14:26,312 --> 01:14:27,547 EPIGENETICS OF DEMENTIA, THIS IS 1975 01:14:27,547 --> 01:14:29,315 1 OF THE HALLMARKS OF AGING. 1976 01:14:29,315 --> 01:14:30,616 YOU HAVE PROBABLY SEEN THIS 1977 01:14:30,616 --> 01:14:31,284 BEFORE. 1978 01:14:31,284 --> 01:14:33,753 AND THE HALLMARKS OF AGING ARE 9 1979 01:14:33,753 --> 01:14:34,687 KEY CELLULAR AND PROCESSES THAT 1980 01:14:34,687 --> 01:14:35,988 ARE CONSIDERED TO BE THE CORE 1981 01:14:35,988 --> 01:14:38,925 DRIVERS OF THE AGING PROCESS, SO 1982 01:14:38,925 --> 01:14:39,659 UNDERSTANDING THESE HALLMARK 1983 01:14:39,659 --> 01:14:41,361 SYSTEM CRUCIAL FOR DEVELOPING 1984 01:14:41,361 --> 01:14:42,995 STRATEGIES TO SLOW DOWN OR 1985 01:14:42,995 --> 01:14:45,264 REVERSE THE EFFECTS OF AGING AND 1986 01:14:45,264 --> 01:14:47,300 TO PROMOTE HEALTHY AGING. 1987 01:14:47,300 --> 01:14:49,135 THE TRICK HERE IS THAT SOME OF 1988 01:14:49,135 --> 01:14:51,237 THESE WE CAN MEASURE EASILY IN 1989 01:14:51,237 --> 01:14:54,140 POPULATION STUDIES AND SOME ARE 1990 01:14:54,140 --> 01:14:54,640 QUITE TRICKY. 1991 01:14:54,640 --> 01:14:55,942 TODAY WE'RE GOING TO FOCUS ON 1 1992 01:14:55,942 --> 01:14:59,345 OF THEM WHICH IS EPIGENETIC 1993 01:14:59,345 --> 01:15:00,747 ALTERATIONS, JUST AS AN EXAMPLE 1994 01:15:00,747 --> 01:15:02,949 OF HOW WE THINK ABOUT BIOLOGICAL 1995 01:15:02,949 --> 01:15:05,017 MEASUREMENT IN THE CONTEXT OF A 1996 01:15:05,017 --> 01:15:06,352 SOCIAL SCIENCE SURVEY, AND ALSO 1997 01:15:06,352 --> 01:15:08,621 BECAUSE IT'S 1 OF THE 1S WE CAN 1998 01:15:08,621 --> 01:15:13,459 ACTUALLY MEASURE PRETTY WELL. 1999 01:15:13,459 --> 01:15:15,194 SO EPIGENETICS THIS ESSENTIALLY 2000 01:15:15,194 --> 01:15:16,596 WHAT WE SAY THIS IT'S A BROAD 2001 01:15:16,596 --> 01:15:18,598 TERM AND IT MEANS THE STUDY OF 2002 01:15:18,598 --> 01:15:24,303 MOLECULES AND MECHANISMS THAT 2003 01:15:24,303 --> 01:15:25,805 CAN RESULT IN DIFFERENT GENE 2004 01:15:25,805 --> 01:15:27,473 ACTIVITY AND A CONTEXT IN WHICH 2005 01:15:27,473 --> 01:15:28,674 THE DNA SEQUENCE STAYS THE SAME 2006 01:15:28,674 --> 01:15:31,344 SO WE'RE NOT NECESSARILY TALKING 2007 01:15:31,344 --> 01:15:32,612 ABOUT GENETIC MUTATIONS, WE'RE 2008 01:15:32,612 --> 01:15:36,649 TALKING ABOUT SOMETHING AT A 2009 01:15:36,649 --> 01:15:38,184 LEVEL ABOVE THAT SO IT CHANGES 2010 01:15:38,184 --> 01:15:40,119 IN HOW GENES ARE EXPRESSED 2011 01:15:40,119 --> 01:15:42,422 WITHOUT ALTERING THE DNA 2012 01:15:42,422 --> 01:15:42,789 SEQUENCE ITSELF. 2013 01:15:42,789 --> 01:15:46,092 SO IT CAN DISRUPT OR CHANGE 2014 01:15:46,092 --> 01:15:47,326 CELLULAR PROCESSES AND HAD THIS 2015 01:15:47,326 --> 01:15:48,327 CONTEXT WE'RE TALKING ABOUT IT 2016 01:15:48,327 --> 01:15:51,497 AS IT CONTRIBUTES TO THE AGING 2017 01:15:51,497 --> 01:15:51,731 PROCESS. 2018 01:15:51,731 --> 01:15:54,600 BUT THIS IS JUST 1 TYPE OF 2019 01:15:54,600 --> 01:15:57,003 EPIGENETICS WHEN WE TALK ABOUT 2020 01:15:57,003 --> 01:15:57,570 DNA METHYLATION. 2021 01:15:57,570 --> 01:15:58,871 AND HERE, ON THE RIGHT HAND 2022 01:15:58,871 --> 01:16:00,873 SIDE, CAN YOU SEE THAT THERE ARE 2023 01:16:00,873 --> 01:16:03,176 OTHER THINGS THAT HAPPENED LIKE 2024 01:16:03,176 --> 01:16:04,877 EFTHIMIOSON MODIIVESS AND OTHER 2025 01:16:04,877 --> 01:16:06,979 THINGS THAT ARE ALL ALSO PART OF 2026 01:16:06,979 --> 01:16:08,414 AN EPIIMENETTIC PROCESS BUT WE 2027 01:16:08,414 --> 01:16:10,349 FOCUS ON DID, NA METHYLATION, 2028 01:16:10,349 --> 01:16:13,186 MOSTLY BECAUSE IT'S AN EASIER 1 2029 01:16:13,186 --> 01:16:15,488 TO MEASURE BUT I JUST WANT YOU 2030 01:16:15,488 --> 01:16:16,923 TO UNDERSTAND THAT IT'S PART OF 2031 01:16:16,923 --> 01:16:17,757 A BIGGER PROCESS, SO 2032 01:16:17,757 --> 01:16:19,992 SPECIFICALLY WHEN WE TALK ABOUT 2033 01:16:19,992 --> 01:16:22,628 DNA METHYLATION, WE'RE TALKING 2034 01:16:22,628 --> 01:16:24,330 ABOUT METHYLATION OF A 2035 01:16:24,330 --> 01:16:27,066 CYTOSWREEN IN WHAT'S CALLED THE 2036 01:16:27,066 --> 01:16:33,439 CPG SITE, SO CPG SITES OR 2037 01:16:33,439 --> 01:16:34,841 CYTOSWREEN AND GAUNINE, AND DNA 2038 01:16:34,841 --> 01:16:37,944 SO IT'S A SPECIFIC SEQUENCE OF 2039 01:16:37,944 --> 01:16:40,046 NUCLEOTIDES AND A METHYL GROUPS 2040 01:16:40,046 --> 01:16:42,014 ATTACHED IT MAKE ITS METHALATED. 2041 01:16:42,014 --> 01:16:45,384 WHEN WE HAVE METHALATED 2042 01:16:45,384 --> 01:16:46,452 CYTOSWREENS THE GENE CAN CHANGE 2043 01:16:46,452 --> 01:16:47,653 ITS EXPRESSION AND THAT'S WHAT 2044 01:16:47,653 --> 01:16:49,121 WE'RE LOOKING FOR BUT I ALSO 2045 01:16:49,121 --> 01:16:50,223 WANT YOU TO UNDERSTAND THAT A 2046 01:16:50,223 --> 01:16:52,892 LOT OF TIMES I THINK DNA 2047 01:16:52,892 --> 01:16:54,861 METHYLATION IS TALKED ABOUT IN A 2048 01:16:54,861 --> 01:16:56,863 NEGATIVE WAY, LIKE IT'S ALWAYS 2049 01:16:56,863 --> 01:16:58,865 BAD, BUT UNDERSTAND THAT IT'S 2050 01:16:58,865 --> 01:16:59,432 TOTALLY NORMAL. 2051 01:16:59,432 --> 01:17:03,269 WE WANT OUR CELLS TO HAVE 2052 01:17:03,269 --> 01:17:05,037 DIFFERENTIAL DNA METHYLATION. 2053 01:17:05,037 --> 01:17:06,305 IT'S ESSENTIAL TO CELL 2054 01:17:06,305 --> 01:17:08,107 DIFFERENTIATION SO IT'S WHAT 2055 01:17:08,107 --> 01:17:10,409 MAKES A MUSCLE CELL DIFFERENT 2056 01:17:10,409 --> 01:17:11,978 FROM A BRAIN CELL. 2057 01:17:11,978 --> 01:17:14,046 THESE CHANGES IN METHYLATION AND 2058 01:17:14,046 --> 01:17:15,982 GENE EXPRESSION IS WHAT MAKES 2059 01:17:15,982 --> 01:17:17,483 OUR CELLS DO DIFFERENT THINGS 2060 01:17:17,483 --> 01:17:19,485 EVEN THOUGH THEY ALL HAVE THE 2061 01:17:19,485 --> 01:17:20,786 SAME DNA SEQUENCE SO IT'S 2062 01:17:20,786 --> 01:17:22,622 COMPLETE LE NORMAL AND PART OF 2063 01:17:22,622 --> 01:17:24,357 OUR BODY'S FUNCTIONING NORMALLY, 2064 01:17:24,357 --> 01:17:26,826 WE'RE JUST TAKING ADVANTAGE OF 2065 01:17:26,826 --> 01:17:32,532 CHAIMPLES -- CHANGES THAT MIGHT 2066 01:17:32,532 --> 01:17:33,933 NOT BE NORMAL OR HAPPENING AT A 2067 01:17:33,933 --> 01:17:34,934 DIFFERENT RATE IN PEOPLE'S 2068 01:17:34,934 --> 01:17:35,868 BODIES AND WE WILL TALK ABOUT 2069 01:17:35,868 --> 01:17:36,936 THAT A BIT MORE. 2070 01:17:36,936 --> 01:17:38,971 SO WE'RE INTERESTED IN THESE 2071 01:17:38,971 --> 01:17:40,473 THINGS BECAUSE THEY REFLECT 2072 01:17:40,473 --> 01:17:41,908 CHANGES IN GENE EXPRESSION, THEY 2073 01:17:41,908 --> 01:17:44,310 ARE INFLUENCED BY THE 2074 01:17:44,310 --> 01:17:44,977 ENVIRONMENT, THEIR TISSUE 2075 01:17:44,977 --> 01:17:45,244 SPECIFIC. 2076 01:17:45,244 --> 01:17:47,513 WE WILL GET INTO THAT BUT THEY 2077 01:17:47,513 --> 01:17:47,914 CHANGE OVERTIME. 2078 01:17:47,914 --> 01:17:50,516 AND IF YOU THINK ABOUT YOU KNOW 2079 01:17:50,516 --> 01:17:52,385 THE TYPES OF THINGS THAT WE'RE 2080 01:17:52,385 --> 01:17:53,853 INTERESTED WHEN WE THINK ABOUT 2081 01:17:53,853 --> 01:17:55,721 HEALTH OUTCOMES AND HEALTH 2082 01:17:55,721 --> 01:17:56,589 BEHAVIORS AND EXPOSURES, WE'RE 2083 01:17:56,589 --> 01:17:58,090 REALLY INTERESTED IN THE THINGS 2084 01:17:58,090 --> 01:17:59,959 THAT CAN BE INTERVENED ON, THESE 2085 01:17:59,959 --> 01:18:00,793 ARE THE THINGS THAT WE 2086 01:18:00,793 --> 01:18:02,762 UNDERSTAND THAT WE CAN CHANGE 2087 01:18:02,762 --> 01:18:04,430 THAT WE CAN POSSIBLY TAKE 2088 01:18:04,430 --> 01:18:07,099 ADVANTAGE OF IN ORDER TO HELP 2089 01:18:07,099 --> 01:18:17,577 PEOPLE LIVE LONG AND HEALTHY 2090 01:18:42,835 --> 01:18:42,969 LIVES. 2091 01:18:42,969 --> 01:18:45,071 SO IF I TAKE A CELL FROM YOUR 2092 01:18:45,071 --> 01:18:46,339 BRAIN VERSUS YOUR LIVER, THAT 2093 01:18:46,339 --> 01:18:46,806 WILL LOOK DIFFERENT. 2094 01:18:46,806 --> 01:18:48,908 IF I ELECTRIC AT A LEUKOCYTE 2095 01:18:48,908 --> 01:18:50,109 CELL VERSUS A DIFFERENT TYPE OF 2096 01:18:50,109 --> 01:18:52,144 CELL THAT ALSO WILL HAVE A 2097 01:18:52,144 --> 01:18:52,912 DIFFERENT METHYLATION PATTERN, 2098 01:18:52,912 --> 01:18:54,046 SO THESE CELL TYPES MATTER AND 2099 01:18:54,046 --> 01:18:57,583 IT'S IMPORTANT FOR US TO KNOW 2100 01:18:57,583 --> 01:18:57,917 THAT. 2101 01:18:57,917 --> 01:18:59,452 IT'S EXPOSURE DEPENDENT SO 2102 01:18:59,452 --> 01:19:03,956 THINGS LIKE SMOKING CAN HAVE 2103 01:19:03,956 --> 01:19:06,225 REALLY CONSEQUENTIAL EXPOSURE TO 2104 01:19:06,225 --> 01:19:07,293 THE METHYLATION SIGNATURE THAT 2105 01:19:07,293 --> 01:19:09,028 WE SEE, AND IT BE OUTCOME 2106 01:19:09,028 --> 01:19:12,198 ASSOCIATED SO IT CAN BE CAUSAL 2107 01:19:12,198 --> 01:19:13,399 OR CONSEQUENTIAL TO VARIOUS 2108 01:19:13,399 --> 01:19:13,766 DISEASE STATES. 2109 01:19:13,766 --> 01:19:15,735 SO AGAIN IT MAKES IT A REALLY 2110 01:19:15,735 --> 01:19:16,802 ATTRACTIVE THING FOR US TO LOOK 2111 01:19:16,802 --> 01:19:18,537 FOR BECAUSE OF ALL OF THESE 2112 01:19:18,537 --> 01:19:18,904 THINGS. 2113 01:19:18,904 --> 01:19:21,507 SO I'M INTERESTED IN IT AS A 2114 01:19:21,507 --> 01:19:22,675 MECHANISM FOR DISEASE BUT WE'RE 2115 01:19:22,675 --> 01:19:24,777 ALSO INTERESTED IN IT BECAUSE IT 2116 01:19:24,777 --> 01:19:28,314 BE A BIOMARKER OF DISEASE OR 2117 01:19:28,314 --> 01:19:28,648 EXPOSURE. 2118 01:19:28,648 --> 01:19:30,683 AND I THINK WE'RE SPENDING A LOT 2119 01:19:30,683 --> 01:19:34,987 OF TIME ON NOW, IS TRYING TO 2120 01:19:34,987 --> 01:19:45,498 SORT THESE RELATIONSHIPS OUT. 2121 01:19:50,336 --> 01:19:51,170 SO GENOME WIDE ASSOCIATION 2122 01:19:51,170 --> 01:19:53,305 STUDIES AND EACH COLORED BAR 2123 01:19:53,305 --> 01:19:55,174 JUST REPRESENTS A DIFFERENT 2124 01:19:55,174 --> 01:19:57,843 CHROMOSOME AND EACH COLORED DOT 2125 01:19:57,843 --> 01:20:00,179 IN THIS PARTICULAR FIGURE 2126 01:20:00,179 --> 01:20:01,480 REPRESENTS A CPG SITE AND 2127 01:20:01,480 --> 01:20:03,649 ESSENTIALLY ALL WE ARE DOING ARE 2128 01:20:03,649 --> 01:20:06,352 HUNDREDS OF THOUSANDS OF LINEAR 2129 01:20:06,352 --> 01:20:08,254 REGRESSIONS ON WHETHER THAT CPG 2130 01:20:08,254 --> 01:20:10,289 SITE IS RELATED TO THE OUTCOME 2131 01:20:10,289 --> 01:20:11,624 THAT WE'RE INTERESTED IN. 2132 01:20:11,624 --> 01:20:16,228 AND IN THE HIGHER AS THE DOT 2133 01:20:16,228 --> 01:20:18,464 APPEARS ON THE GRAPH, THE MORE 2134 01:20:18,464 --> 01:20:20,332 ASSOCIATED IT IS WITH THAT 2135 01:20:20,332 --> 01:20:22,702 OUTCOME SO WE'RE JUST LOOKING 2136 01:20:22,702 --> 01:20:24,003 FOR THOSE PEAKS, WE'RE LOOKING 2137 01:20:24,003 --> 01:20:25,371 FOR THE THINGS ASSOCIATED WITH 2138 01:20:25,371 --> 01:20:28,040 OUR OUTCOME OF INTEREST. 2139 01:20:28,040 --> 01:20:29,942 SO IT'S VERY AGNOSTIC, LIKE 2140 01:20:29,942 --> 01:20:31,644 WE'RE VERY -- WE GO IN WITHOUT 2141 01:20:31,644 --> 01:20:33,245 ANY IDEA OF WHAT WE'RE GOING 2142 01:20:33,245 --> 01:20:36,749 FOCUSED ON FIND OR LOOK FOR 2143 01:20:36,749 --> 01:20:36,982 THERE. 2144 01:20:36,982 --> 01:20:40,352 WE CAN OFTEN TAKE THAT 2145 01:20:40,352 --> 01:20:41,487 INFORMATION FROM AN EWAS STUDY 2146 01:20:41,487 --> 01:20:43,522 AND CREATE A SCORE, 2147 01:20:43,522 --> 01:20:44,256 SOPHISTICATEDY THESE 2148 01:20:44,256 --> 01:20:48,227 POLYEPIGENETIC SCORES OR PEGS 2149 01:20:48,227 --> 01:20:51,197 WORK JUST LIKE POLYGENIC RISK 2150 01:20:51,197 --> 01:20:52,164 SCORES OR POLYGENIC RISK SCORES 2151 01:20:52,164 --> 01:20:54,467 IF YOU HEARD ABOUT THOSE FROM 2152 01:20:54,467 --> 01:20:55,901 GENETIC DATA SO WE'RE JUST 2153 01:20:55,901 --> 01:20:57,903 TAKING THE ASSOCIATION OF CPG 2154 01:20:57,903 --> 01:20:59,171 SITE IN THIS PARTICULAR CASE 2155 01:20:59,171 --> 01:21:01,040 WITH AN OUTCOME AND WE'RE KIND 2156 01:21:01,040 --> 01:21:02,975 OF MULTIPLYING THAT OUT ACROSS 2157 01:21:02,975 --> 01:21:04,710 ALL THE CPG SITES THAT ARE 2158 01:21:04,710 --> 01:21:06,312 RELEVANT TO GIVE SOMEONE A RISK 2159 01:21:06,312 --> 01:21:09,181 SCORE OF SORT OF HOW METHALATED 2160 01:21:09,181 --> 01:21:15,721 THEIR SITES ARE RELATED TO AN 2161 01:21:15,721 --> 01:21:16,222 OUTCOME OF INTEREST. 2162 01:21:16,222 --> 01:21:18,357 THE OTHER THING WE CAN DO IS 2163 01:21:18,357 --> 01:21:20,659 TAKE EWAS DATA AND TRAIN THOSE 2164 01:21:20,659 --> 01:21:23,796 CPG SITES IN A MACHINE LEARNING 2165 01:21:23,796 --> 01:21:25,431 KIND OF WAY TO PREDICT AN 2166 01:21:25,431 --> 01:21:26,732 OUTCOME THAT WE CARE ABOUT. 2167 01:21:26,732 --> 01:21:28,234 SO HERE WE USE ELASTIC 2168 01:21:28,234 --> 01:21:29,635 REGRESSION TO DO IT SO HERE 2169 01:21:29,635 --> 01:21:31,137 WE'RE NOT JUST KIND OF 2170 01:21:31,137 --> 01:21:33,973 MULTIPLYING THINGS OUT BY THEIR 2171 01:21:33,973 --> 01:21:35,107 INDIVIDUAL WEIGHT, WE'RE SAYING 2172 01:21:35,107 --> 01:21:41,914 WE'RE GOING TO APPLY MACHINE 2173 01:21:41,914 --> 01:21:43,883 LEARNING AND PREDICT AN 2174 01:21:43,883 --> 01:21:44,650 ALGORITHM THAT PREDICTINGS THE 2175 01:21:44,650 --> 01:21:44,917 BEST. 2176 01:21:44,917 --> 01:21:47,052 SO WE WILL SAY HERE'S OUR 2177 01:21:47,052 --> 01:21:48,287 OUTCOME OF INTEREST, PLEASE COME 2178 01:21:48,287 --> 01:21:50,022 UP WITH A FORMULA THAT IS GOING 2179 01:21:50,022 --> 01:21:51,724 TO WORK THE BEST IN PREDICTING 2180 01:21:51,724 --> 01:21:56,428 OUTCOMES ON A POPULATION LEVEL 2181 01:21:56,428 --> 01:21:58,631 SOY HERE WE'RE CREATING WHAT WE 2182 01:21:58,631 --> 01:22:00,766 CALL A DNA METHYLATION SURROGATE 2183 01:22:00,766 --> 01:22:03,803 AND WE DO THIS -- WE SPLIT OUR 2184 01:22:03,803 --> 01:22:05,638 SAMPLES INTO GROUPS, MAYBE IT'S 2185 01:22:05,638 --> 01:22:09,375 50/50 OR MAYBE IT'S 80/20 WHERE 2186 01:22:09,375 --> 01:22:11,410 WE TRAIN IT ON PEOPLE AND TEST 2187 01:22:11,410 --> 01:22:12,611 IT TO MAKE SURE IT WORKS OR 2188 01:22:12,611 --> 01:22:14,814 MAYBE WE HAVE A DATA SET 2189 01:22:14,814 --> 01:22:15,781 OUTSIDE, EXTERNAL TO OUR 2190 01:22:15,781 --> 01:22:19,652 TRAINING 1 TO TEST THEM. 2191 01:22:19,652 --> 01:22:21,053 BUT ESSENTIALLY THIS IS A 2192 01:22:21,053 --> 01:22:21,954 DIFFERENT MACHINE LEARNING 2193 01:22:21,954 --> 01:22:23,622 APPROACH TO CREATING RISK 2194 01:22:23,622 --> 01:22:23,923 SCORES. 2195 01:22:23,923 --> 01:22:27,259 AND MY GUESS IS YOU HAVE HEARD 2196 01:22:27,259 --> 01:22:28,661 ABOUT THESE, THE 2197 01:22:28,661 --> 01:22:29,662 EPIGENERATEDETEC CLOCKS IS 1 2198 01:22:29,662 --> 01:22:32,097 KIND OF THE THIS DNA METHYLATION 2199 01:22:32,097 --> 01:22:32,364 SURROGATE. 2200 01:22:32,364 --> 01:22:35,568 SO THIS IS A SURROGATE OF AGE, 2201 01:22:35,568 --> 01:22:37,970 OR BIOLOGICAL AGE, IT'S THE SAME 2202 01:22:37,970 --> 01:22:39,138 PROCESS, AN ELASTIC REGRESSION 2203 01:22:39,138 --> 01:22:40,639 WHERE WE'RE TRAINING THE 2204 01:22:40,639 --> 01:22:41,707 METHYLATION DATA TO PREDICT 2205 01:22:41,707 --> 01:22:43,442 SOMETHING WE CARE ABOUT, SO WITH 2206 01:22:43,442 --> 01:22:45,744 THE CLOCKS, IT HAS BEEN 2207 01:22:45,744 --> 01:22:48,614 CHRONOLOGICAL AGE, OR CLINICAL 2208 01:22:48,614 --> 01:22:51,984 BIOMARKERS RELATED TO BIOLOGICAL 2209 01:22:51,984 --> 01:22:52,184 AGE. 2210 01:22:52,184 --> 01:22:53,586 SO OVERTIME, WE HAVE LOTS OF 2211 01:22:53,586 --> 01:22:54,887 DIFFERENT CLOCKS THAT HAVE BEEN 2212 01:22:54,887 --> 01:22:58,290 CREATED, THIS IS JUST A SAMPLE 2213 01:22:58,290 --> 01:23:00,326 OF THOSE, SO THE FIRST 2214 01:23:00,326 --> 01:23:03,929 GENERATION CLOCKS, THOSE CREATED 2215 01:23:03,929 --> 01:23:06,098 BY COLLEAGUES AND OTHERS THOSE 2216 01:23:06,098 --> 01:23:08,200 WERE DESIGNED TO PREDICT 2217 01:23:08,200 --> 01:23:08,634 CHRONOLOGICAL ANAL. 2218 01:23:08,634 --> 01:23:10,369 SO WHAT ARE THE DNA MARKERS THAT 2219 01:23:10,369 --> 01:23:11,971 ARE ASSOCIATE WIDE CHRONOLOGICAL 2220 01:23:11,971 --> 01:23:12,271 AGE? 2221 01:23:12,271 --> 01:23:13,539 BUT IN REALITY, THAT'S NOT 2222 01:23:13,539 --> 01:23:15,608 REALLY WHAT WE'RE INTERESTED IN, 2223 01:23:15,608 --> 01:23:17,343 WE KNOW SOMEONE'S CHRONOLOGICAL 2224 01:23:17,343 --> 01:23:18,644 AGE, THAT'S PRETTY EASY JUST TO 2225 01:23:18,644 --> 01:23:20,045 ASK THEM, WHAT WE'RE INTERESTED 2226 01:23:20,045 --> 01:23:23,916 IN IS OUR BIOLOGICAL AGE, SO IS 2227 01:23:23,916 --> 01:23:25,317 THERE BIOLOGY REPRESENTING 2228 01:23:25,317 --> 01:23:25,885 SOMETHING DIFFERENT, SOME 2229 01:23:25,885 --> 01:23:27,820 DIFFERENT GOING ON THAT'S 2230 01:23:27,820 --> 01:23:28,854 ASSOCIATED WITH CHRONOLOGICAL 2231 01:23:28,854 --> 01:23:31,857 AGE, BUT MAYBE YOU'RE AGING A 2232 01:23:31,857 --> 01:23:33,826 LITTLE FASTER OR SLOWER THAN 2233 01:23:33,826 --> 01:23:35,227 YOUR CHRONOLOGICAL AGE SUGGESTS 2234 01:23:35,227 --> 01:23:36,829 AND THAT'S THE SECOND GENERATION 2235 01:23:36,829 --> 01:23:38,464 OF CLOCKS. 2236 01:23:38,464 --> 01:23:40,633 SO DNA METHYLATION PHENOAGE OR 2237 01:23:40,633 --> 01:23:41,901 GRIM AGE, THESE ARE ALL 2238 01:23:41,901 --> 01:23:43,369 DIFFERENT TYPES OF CLOCKS THAT 2239 01:23:43,369 --> 01:23:45,170 WORK JUST THE SAME AS THE FIRST 2240 01:23:45,170 --> 01:23:47,573 GENERATION 1S BUT THEY WERE 2241 01:23:47,573 --> 01:23:51,510 TRAINED ON PHENOTYPES LIKE 2242 01:23:51,510 --> 01:23:54,446 MORTALITY, FOR GRIM AGE OR 2243 01:23:54,446 --> 01:23:56,882 PHENOAGE WAS A COLLECTION OF 2244 01:23:56,882 --> 01:23:57,816 BIOMARKERS ASSOCIATE WIDE AGING. 2245 01:23:57,816 --> 01:23:59,251 SO THE METHOD IS THE SAME BUT 2246 01:23:59,251 --> 01:24:00,653 THE OUTCOME THEY'RE TRAINED ON 2247 01:24:00,653 --> 01:24:02,288 AND WHAT THEY'RE DESIGNED TO 2248 01:24:02,288 --> 01:24:03,522 PREDICT IS DEFINITE. 2249 01:24:03,522 --> 01:24:08,794 THE THIRD GENERATION OF CLOCKS 2250 01:24:08,794 --> 01:24:11,297 REALLY RESULTED FROM LOOKING AT 2251 01:24:11,297 --> 01:24:12,364 LONGITUDINAL CHANGE IN 2252 01:24:12,364 --> 01:24:13,699 BIOLOGICAL MEASUREMENT SO NOT 2253 01:24:13,699 --> 01:24:14,700 JUST PREDICTING 1 POINT IN TIME 2254 01:24:14,700 --> 01:24:17,870 BUT THE CHANGE OVER 20-30 YEARS 2255 01:24:17,870 --> 01:24:21,140 AND THAT WAS THE DUNEDIN PACE 2256 01:24:21,140 --> 01:24:23,075 SCORE THAT WAS DEVELOPED AND NOW 2257 01:24:23,075 --> 01:24:25,177 WHAT DOES THE FUTURE HOLD? 2258 01:24:25,177 --> 01:24:26,312 WE'RE PROBABLY TECHNICALLY IN 2259 01:24:26,312 --> 01:24:28,280 THE FOURTH GENERATION AND THESE 2260 01:24:28,280 --> 01:24:31,250 CLOCKS ARE MORE SPECIFIC TO 2261 01:24:31,250 --> 01:24:32,384 VARIOUS ORGAN SYSTEMS. 2262 01:24:32,384 --> 01:24:35,521 AND REALLY IT'S A FOCUS ON VERY 2263 01:24:35,521 --> 01:24:38,324 SPECIFIC BIOLOGICAL PROCESSES 2264 01:24:38,324 --> 01:24:38,524 NOW. 2265 01:24:38,524 --> 01:24:41,293 BUT WE CAN USE ALL OF THESE IN 2266 01:24:41,293 --> 01:24:42,695 OUR POPULATIONS STUDIES TO HAVE 2267 01:24:42,695 --> 01:24:43,963 A BETTER UNDERSTANDING OF WHAT 2268 01:24:43,963 --> 01:24:46,465 IS GOING ON, SO IN THIS PAPER, 2269 01:24:46,465 --> 01:24:48,801 WHERE WE USE HRS DATA AND THESE 2270 01:24:48,801 --> 01:24:50,636 EPIGENETIC CLOCKS THAT WE 2271 01:24:50,636 --> 01:24:52,538 CREATED, FROM OUR METHYLATION 2272 01:24:52,538 --> 01:24:55,674 DATA, WE WANTED TO KNOW WHAT 2273 01:24:55,674 --> 01:24:57,409 SOCIOLOGICAL DEMOGRAPHIC SOCIAL 2274 01:24:57,409 --> 01:24:58,143 AND BEHAVIORIAL FACTORS WERE 2275 01:24:58,143 --> 01:24:59,545 ASSOCIATED WITH THE CLOCKS AND 2276 01:24:59,545 --> 01:25:03,349 THEN ALSO HOW WELL THESE CLOCKS 2277 01:25:03,349 --> 01:25:04,149 PREDICTED LONGITUDINAL OUTCOMES. 2278 01:25:04,149 --> 01:25:05,918 SO, ON THE RIGHT HAND SIDE OF 2279 01:25:05,918 --> 01:25:09,855 YOUR SCREEN, CAN YOU SEE THE 2280 01:25:09,855 --> 01:25:12,157 R-SQUARED DECOMPOSITION, OF THE 2281 01:25:12,157 --> 01:25:12,858 DIFFERENT CLOCKS. 2282 01:25:12,858 --> 01:25:15,961 SO 5 DIFFERENT MEASURES OF THESE 2283 01:25:15,961 --> 01:25:17,129 EPIGENETIC CLOCKS AND WHAT 2284 01:25:17,129 --> 01:25:18,831 PROPORTION OF THE VARIANCE WAS 2285 01:25:18,831 --> 01:25:21,033 MADE UP BY DIFFERENT THINGS THAT 2286 01:25:21,033 --> 01:25:23,369 WE KNOW FROM THE SURVEY, SO 2287 01:25:23,369 --> 01:25:24,103 BASIC DEMOGRAPHICS BUT ALSO 2288 01:25:24,103 --> 01:25:27,306 HEALTH DEHAD A FEWS, DEPRESSION, 2289 01:25:27,306 --> 01:25:28,273 CHILDHOOD SES, FINANCIAL 2290 01:25:28,273 --> 01:25:30,676 HARDSHIP, THIS KIND OF THING. 2291 01:25:30,676 --> 01:25:33,145 SO WHAT YOU CAN SEE IS THAT I 2292 01:25:33,145 --> 01:25:35,581 TOLD YOU CELL TYPE MATTERS, 2293 01:25:35,581 --> 01:25:37,416 THAT'S IN PURPLE AND IT'S PRETTY 2294 01:25:37,416 --> 01:25:39,284 MUCH THE SAME ACROSS ALL THE 2295 01:25:39,284 --> 01:25:40,352 DIFFERENT CLOCKS BUTTEN THEN 2296 01:25:40,352 --> 01:25:42,254 DEPENDING ON WHAT THE CLOCKS ARE 2297 01:25:42,254 --> 01:25:43,622 DESIGNED TO DO, WE HAVE 2298 01:25:43,622 --> 01:25:44,523 DIFFERENT ASSOCIATIONS WITH 2299 01:25:44,523 --> 01:25:46,225 THOSE SOCIAL AND BEHAVIORIAL 2300 01:25:46,225 --> 01:25:46,558 FACTORS. 2301 01:25:46,558 --> 01:25:48,660 SO THE FIRST 2 ARE DESIGNED TO 2302 01:25:48,660 --> 01:25:50,029 PREDICT CHRONOLOGICAL AGE SO 2303 01:25:50,029 --> 01:25:50,863 THEY LOOK PRETTY SIMILAR AND 2304 01:25:50,863 --> 01:25:52,631 THEN YOU LOOK AT SOMETHING LIKE 2305 01:25:52,631 --> 01:25:54,533 GRIM AGE, SO THE FOURTH 1 AND 2306 01:25:54,533 --> 01:25:58,871 YOU SEE THIS GIANT GREEN BAR. 2307 01:25:58,871 --> 01:26:03,108 THIS CLOCK IS DESIGNED TO 2308 01:26:03,108 --> 01:26:07,079 PREDICT MORTALITY AND USES 2309 01:26:07,079 --> 01:26:07,913 SMOKING BEHAVIOR THAT DO THAT, 2310 01:26:07,913 --> 01:26:13,719 SO CAN YOU SEE HEALTHY BEHAVIORS 2311 01:26:13,719 --> 01:26:15,821 AND THINGS LIKE EDUCATION AND 2312 01:26:15,821 --> 01:26:17,689 RACE ETHNICITY, CONTRIBUTING TO 2313 01:26:17,689 --> 01:26:19,525 A LARGER AMOUNT OF THE VARIANCE 2314 01:26:19,525 --> 01:26:20,659 OF THIS CLOCK, SO THIS WAS 2315 01:26:20,659 --> 01:26:22,161 PRETTY INTERESTING TO US, YOU 2316 01:26:22,161 --> 01:26:24,396 KNOW THAT THESE KINDS OF THINGS 2317 01:26:24,396 --> 01:26:26,498 WERE BEING REPRESENTED IN THIS 2318 01:26:26,498 --> 01:26:30,002 MOLECULAR SIGNATURE THAT WE WERE 2319 01:26:30,002 --> 01:26:30,269 CREATING. 2320 01:26:30,269 --> 01:26:31,637 WE ALSO WANTED TO LOOK THEA HOW 2321 01:26:31,637 --> 01:26:34,873 WELL THESE CLOCKS PREDICTED 2322 01:26:34,873 --> 01:26:35,908 MORBIDITY AND MORTALITY, SO HERE 2323 01:26:35,908 --> 01:26:37,776 IS JUST AN EXAMPLE OF WHAT WE 2324 01:26:37,776 --> 01:26:39,845 DID SO THIS IS LOOKING AT THAT 2325 01:26:39,845 --> 01:26:40,879 GRIM AGE CLOCK, SO AGAIN, THIS 2326 01:26:40,879 --> 01:26:43,682 IS THE 1 THAT'S DESIGNED TO 2327 01:26:43,682 --> 01:26:44,249 PREDICT MORTALITY. 2328 01:26:44,249 --> 01:26:49,488 AND WHAT YOU CAN SEE IS THAT 2329 01:26:49,488 --> 01:26:51,390 THEY DO SO GRAY, THE GRAY PART 2330 01:26:51,390 --> 01:26:54,593 HERE IS HOW MUCH OF THAT GRIM 2331 01:26:54,593 --> 01:26:57,463 AGE ACCELERATION IS CONTRIBUTING 2332 01:26:57,463 --> 01:26:58,363 TO THESE OUTCOMES. 2333 01:26:58,363 --> 01:27:00,632 SO AGAIN, I SHOULD SAY, THESE 2334 01:27:00,632 --> 01:27:03,769 ARE ALL LOOKING AT THESE 2335 01:27:03,769 --> 01:27:05,504 OUTCOMES 2-4 YEARS OUT FROM WHEN 2336 01:27:05,504 --> 01:27:07,106 WE MEASURED METHYLATION, SO 2337 01:27:07,106 --> 01:27:10,876 WE'RE LOOKING AT INCIDENT DEC 2338 01:27:10,876 --> 01:27:11,276 AND MORTALITY. 2339 01:27:11,276 --> 01:27:13,579 SO ALL OF THE CLOCKS OR THIS 2340 01:27:13,579 --> 01:27:17,349 PARTICULAR CLOCK WAS RELATED TO 2341 01:27:17,349 --> 01:27:19,318 THESE OUTCOMES, LARGELY FROM 2342 01:27:19,318 --> 01:27:19,885 MULTIMORBIDITY AND MORTALITY 2343 01:27:19,885 --> 01:27:21,220 BECAUSE THAT WAS WHAT THE CLOCK 2344 01:27:21,220 --> 01:27:22,855 WAS DESIGNED TO DO SO IT MAKES 2345 01:27:22,855 --> 01:27:24,690 SENSE THAT IT'S KIND OF A BIGGER 2346 01:27:24,690 --> 01:27:26,091 PROPORTION OF THE BAR THERE, AND 2347 01:27:26,091 --> 01:27:28,193 BUT WHAT YOU CAN SEE IS THAT THE 2348 01:27:28,193 --> 01:27:29,628 SOCIAL AND BEHAVIORIAL FACTORS 2349 01:27:29,628 --> 01:27:30,896 ARE STILL PREDICTIVE, SO, YOU 2350 01:27:30,896 --> 01:27:33,765 KNOW HERE WE'RE LOOKING AT, 2351 01:27:33,765 --> 01:27:35,968 YELLOW, IS EDUCATION AND RACE 2352 01:27:35,968 --> 01:27:37,369 AND ETHNICITY AND GREEN AGAIN 2353 01:27:37,369 --> 01:27:41,106 AND HEALTH BEHAVIORS AND THEN, 2354 01:27:41,106 --> 01:27:41,874 AGENTS, THERE'S STILL 2355 01:27:41,874 --> 01:27:43,642 CONTRIBUTING TO THE VARIANCE 2356 01:27:43,642 --> 01:27:46,278 EXPLAINED IN THESE OUTCOMES. 2357 01:27:46,278 --> 01:27:48,013 SO WHILE THESE CLOCKS ARE 2358 01:27:48,013 --> 01:27:49,081 PREDICTIVE OF LATER LIFE 2359 01:27:49,081 --> 01:27:50,782 OUTCOMES WE EVAPORATE BEEN ABLE 2360 01:27:50,782 --> 01:27:53,118 TO EXPLAIN ALL OF THE VARIANTS 2361 01:27:53,118 --> 01:27:54,419 AWAY WITH THIS BIOLOGICAL 2362 01:27:54,419 --> 01:27:55,120 MEASURE ALONE. 2363 01:27:55,120 --> 01:27:56,221 SO THESE SOCIAL FACTORS ARE 2364 01:27:56,221 --> 01:27:58,290 STILL PLAYING A ROLE IN OUR 2365 01:27:58,290 --> 01:28:07,699 ABILITY TO PREDICT LONGITUDINAL 2366 01:28:07,699 --> 01:28:08,600 OUTCOMES. 2367 01:28:08,600 --> 01:28:09,568 SO SWITCHING GEARS HERE I 2368 01:28:09,568 --> 01:28:10,402 MENTIONED WE CAN TRAIN THE DAILY 2369 01:28:10,402 --> 01:28:12,171 BASIS THEA TO BE A SURROGATE 2370 01:28:12,171 --> 01:28:12,604 OUTCOME. 2371 01:28:12,604 --> 01:28:15,707 SO THE CLOCKS ARE AGAIN ARE 2372 01:28:15,707 --> 01:28:19,778 SURROGATES OF LATER LIFE 2373 01:28:19,778 --> 01:28:20,712 MORBIDITY AND MORTALITY BUT WE 2374 01:28:20,712 --> 01:28:22,381 CAN TRAIN THESE TO PREDICT JUST 2375 01:28:22,381 --> 01:28:23,115 ABOUT ANYTHING. 2376 01:28:23,115 --> 01:28:24,483 HERE WE FOCUSED ON BMI. 2377 01:28:24,483 --> 01:28:26,385 WE WERE INTERESTED IN WHAT ARE 2378 01:28:26,385 --> 01:28:28,587 THE MOLECULAR DMA METHYLATION 2379 01:28:28,587 --> 01:28:31,523 RELATED SIGNATURES OF BMI. 2380 01:28:31,523 --> 01:28:32,591 AND WE CREATED 3 DIFFERENT 2381 01:28:32,591 --> 01:28:36,628 SCORES, 1 FROM A PUBLISH TD 2382 01:28:36,628 --> 01:28:39,031 EWAS, AND 2 THAT USE THE MACHINE 2383 01:28:39,031 --> 01:28:39,998 LEARNING METHOD THAT I MENTIONED 2384 01:28:39,998 --> 01:28:42,534 AND WE,A PLIED THESE SCORES TO 2385 01:28:42,534 --> 01:28:45,938 THE HRS DATA TO LOOK AT HOW WELL 2386 01:28:45,938 --> 01:28:46,939 THEY PREDICT INCIDENT OUTCOME 2 2387 01:28:46,939 --> 01:28:49,341 YEARS LATER AND WHAT WE FOUND 2388 01:28:49,341 --> 01:28:51,543 WAS THESE METHYLATION SIGNATURES 2389 01:28:51,543 --> 01:28:52,711 PREDIBTED THESE OUTCOMES, MANY 2390 01:28:52,711 --> 01:28:54,079 OF THESE OUTCOMES IN BOTH MEN 2391 01:28:54,079 --> 01:28:56,014 AND WOMEN, OVER AND ABOVE 2392 01:28:56,014 --> 01:28:58,050 EVERYTHING ELSE WE THROUGH IN 2393 01:28:58,050 --> 01:29:03,255 THE MODEL, SO, DEMOGRAPHICS, 2394 01:29:03,255 --> 01:29:06,992 FES, HEALTH BEHAVIORS, AND ALSO 2395 01:29:06,992 --> 01:29:09,294 MEASURED BMI ITSELF, THESE 2396 01:29:09,294 --> 01:29:10,996 METHYLATION SIGNATURES REMAIN 2397 01:29:10,996 --> 01:29:12,864 PREDICTIVE OF DIABETES, 2398 01:29:12,864 --> 01:29:13,432 PSYCHIATRIC PROBLEMS, BLOOD 2399 01:29:13,432 --> 01:29:15,701 PRESSURE ARE MEN AND SLEEP 2400 01:29:15,701 --> 01:29:16,535 DISORDERS FOR WOMEN OVER AND 2401 01:29:16,535 --> 01:29:19,171 ABOVE THE MEASURE OF BMI ITSELF 2402 01:29:19,171 --> 01:29:21,573 AND ALL THESE SOCIAL AND 2403 01:29:21,573 --> 01:29:27,813 BEHAVIORIAL FACTORS. 2404 01:29:27,813 --> 01:29:31,216 SO IN THIS CASE OUR HYPOTHESIS 2405 01:29:31,216 --> 01:29:32,618 WAS THESE RESULTS HAPPEN OVER 2406 01:29:32,618 --> 01:29:35,454 TIME, SO THIS MEASURE WE CREATE 2407 01:29:35,454 --> 01:29:37,456 IS TELLING US MORE INFORMATION 2408 01:29:37,456 --> 01:29:39,858 AT THE BIOLOGICAL LEVEL AT 2409 01:29:39,858 --> 01:29:41,460 OBESITY EXPOSURE AND 1 CROSS 2410 01:29:41,460 --> 01:29:44,429 SECTIONAL OR EVEN LONG NUDETAL 2411 01:29:44,429 --> 01:29:45,764 MEASUREMENT OF BMI AND THIS WAS 2412 01:29:45,764 --> 01:29:49,735 PRETTY EXCITING FOR US TO FIND. 2413 01:29:49,735 --> 01:29:52,304 WE CAN ALSO USE EPIGENETICS TO 2414 01:29:52,304 --> 01:29:54,539 CREATE SCORES OF SOCIAL THINGS 2415 01:29:54,539 --> 01:29:57,809 SO NOT JUST BMI BUT SCORES OF 2416 01:29:57,809 --> 01:29:59,344 THINGS LOAMACYIC SOCIOECONOMIC 2417 01:29:59,344 --> 01:30:02,347 STATUS, IN THIS PROJECT WE USE 2418 01:30:02,347 --> 01:30:03,949 BIOMARKER EPIGENETIC DAT TO 2419 01:30:03,949 --> 01:30:06,952 TRAIN SCORES OF CHILDHOOD AND 2420 01:30:06,952 --> 01:30:09,955 ARK DULT SES. 2421 01:30:09,955 --> 01:30:11,590 IN BOTH HRS AND THE MESA STUDY. 2422 01:30:11,590 --> 01:30:12,891 SOPHISTICATEDY AGAIN WE START 2423 01:30:12,891 --> 01:30:16,895 WITH AN EWAS ANALYSIS OF THE 2424 01:30:16,895 --> 01:30:18,163 OUTCOMES THAT WE'RE INTERESTED 2425 01:30:18,163 --> 01:30:21,800 IN, WE USE THAT TO CREATE A 2426 01:30:21,800 --> 01:30:23,935 SUMMARY MEASURE OF METHYLATION 2427 01:30:23,935 --> 01:30:26,038 SIGNATURES WITH SES, SO ADULT 2428 01:30:26,038 --> 01:30:27,272 SES AND CHILDHOOD SES. 2429 01:30:27,272 --> 01:30:31,743 AND THEN WE TEST THOSE IN A 2430 01:30:31,743 --> 01:30:32,611 TESTING DATA SET. 2431 01:30:32,611 --> 01:30:37,049 SO HERE WE HELD OUT PART OF A 2432 01:30:37,049 --> 01:30:40,786 SAMPLE IN ORDER TO DO OUR 2433 01:30:40,786 --> 01:30:45,957 ANALYSIS, AND WHAT WE FOUND WAS 2434 01:30:45,957 --> 01:30:47,659 THAT THESE METHYLATION MEASURES 2435 01:30:47,659 --> 01:30:49,995 FOR SES WERE ALSO PREDICTIVE OF 2436 01:30:49,995 --> 01:30:51,630 LOTS OF INCIDENT THINGS SO 2437 01:30:51,630 --> 01:30:53,732 NUMBER OF CHRONIC CONDITIONS 2438 01:30:53,732 --> 01:30:55,600 ISSUES CARDIO METABOLIC 2439 01:30:55,600 --> 01:30:58,437 CONDITIONS, SELF-REPORTED HEALTH 2440 01:30:58,437 --> 01:30:59,738 STATUS, MORETALLITYITY AND 2441 01:30:59,738 --> 01:31:00,772 DEMENTIA, SO MODEL 1 IS JUST THE 2442 01:31:00,772 --> 01:31:04,443 MEASURE ON ITS OWN, AND MODEL 2, 2443 01:31:04,443 --> 01:31:06,311 ADJUSTS FOR THE ACTUAL MEASURE 2444 01:31:06,311 --> 01:31:09,715 OF SES ITSELF, SO, IT SHOWS YOU 2445 01:31:09,715 --> 01:31:11,383 HOW MUCH THE PREDICTION IS 2446 01:31:11,383 --> 01:31:16,054 ATTENUATE WHEN WE,A JUST FOR FOR 2447 01:31:16,054 --> 01:31:17,923 EXAMPLE, ADULT SES AS MEASURED 2448 01:31:17,923 --> 01:31:18,256 IN THE SURVEY. 2449 01:31:18,256 --> 01:31:20,192 BUT WHAT YOU CAN SEE IS ALL OF 2450 01:31:20,192 --> 01:31:23,128 THESE RELATIONSHIPS FOR THE MOST 2451 01:31:23,128 --> 01:31:26,865 PART REMAIN SIGNIFICANT, SO THE 2452 01:31:26,865 --> 01:31:28,500 METHYLATION SIGNATURE OF ADULT 2453 01:31:28,500 --> 01:31:31,203 SES AND SOMETIMES CHILD SES 2454 01:31:31,203 --> 01:31:32,571 REMAIN SIGNIFICANT IN PREDICTING 2455 01:31:32,571 --> 01:31:34,072 THESE THINGS OVER AND ABOVE OUR 2456 01:31:34,072 --> 01:31:35,440 ABILITY TO MEASURE THESE IN THE 2457 01:31:35,440 --> 01:31:37,275 SURVEY ITSELF. 2458 01:31:37,275 --> 01:31:40,145 SO AGAIN, IT'S GIVING US SOME 2459 01:31:40,145 --> 01:31:41,880 INFORMATION POTENTIALLY ABOUT 2460 01:31:41,880 --> 01:31:43,582 EXPOSURE OVER THE LONG-TERM, 2461 01:31:43,582 --> 01:31:45,684 IT'S SERVING AS A PROXY FOR 2462 01:31:45,684 --> 01:31:47,753 MAYBE UNMEASURED SOCIAL 2463 01:31:47,753 --> 01:31:48,854 EXPOSURES, AND PROVIDING SOME 2464 01:31:48,854 --> 01:31:52,457 INSIGHTS INTO THE BIOLOGICAL 2465 01:31:52,457 --> 01:31:53,959 MECHANISMS THAT LINK SES TO 2466 01:31:53,959 --> 01:31:57,162 HEALTH BEYOND WHAT IS CURRENTLY 2467 01:31:57,162 --> 01:32:00,966 REPORTED BY THE PARTICIPANTS 2468 01:32:00,966 --> 01:32:01,333 THEMSELVES. 2469 01:32:01,333 --> 01:32:02,634 I WILL ALSO SAY THAT IN THIS 2470 01:32:02,634 --> 01:32:04,035 PROJECT WE DID A MEDIATION 2471 01:32:04,035 --> 01:32:06,838 ANALYSIS TO SEE HOW MUCH OF THIS 2472 01:32:06,838 --> 01:32:08,874 METHYLATION SIGNATURE OF SES, 2473 01:32:08,874 --> 01:32:11,743 HOW MUCH OF THE SES RELATIONSHIP 2474 01:32:11,743 --> 01:32:14,045 BETWEEN SES AND HEALTH DOES A 2475 01:32:14,045 --> 01:32:15,080 METHYLATION SIGNATURE MAKE UP 2476 01:32:15,080 --> 01:32:16,281 AND FOR -- I WOULD SAY THE 1 2477 01:32:16,281 --> 01:32:19,618 THAT WAS THE HIGHEST WAS FOR 2478 01:32:19,618 --> 01:32:22,254 MORTALITY, THE DNA METHYLATION 2479 01:32:22,254 --> 01:32:24,756 SIGNATURE MEDIATED UP TO 42% OF 2480 01:32:24,756 --> 01:32:26,491 THE SES HEALTH RELATIONSHIP AND 2481 01:32:26,491 --> 01:32:28,660 THE MORTALITY OUTCOME SO IT'S 2482 01:32:28,660 --> 01:32:31,129 EXPLAINING SOME OF THIS 2483 01:32:31,129 --> 01:32:33,365 RELATIONSHIP BETWEEN SOCIAL 2484 01:32:33,365 --> 01:32:34,866 FACTORS AND OUTCOMES, THAT WE'RE 2485 01:32:34,866 --> 01:32:36,001 INTERESTED IN. 2486 01:32:36,001 --> 01:32:37,536 AND WE'RE CURRENTLY EXPANDING 2487 01:32:37,536 --> 01:32:40,672 THIS WORK, BY TESTING IT IN A 2488 01:32:40,672 --> 01:32:43,642 DIFFERENT SAMPLE IN THE STUDY IN 2489 01:32:43,642 --> 01:32:45,377 IRELAND AND ALSO BY USING 2490 01:32:45,377 --> 01:32:47,813 SURROGATES CREATED OF CHILDHOOD, 2491 01:32:47,813 --> 01:32:49,281 SEXER S AND CHILD AUDIO 2492 01:32:49,281 --> 01:32:50,582 ADVERSITY MEASURES THAT WERE 2493 01:32:50,582 --> 01:32:52,517 ASSESS INDEED CHILDHOOD, SO IN A 2494 01:32:52,517 --> 01:32:54,252 SURVEY OF CHILDREN AND 2495 01:32:54,252 --> 01:32:55,887 ADOLESCENTS FROM THE FUTURE OF 2496 01:32:55,887 --> 01:32:57,622 FAMILIES AND CHILD WELL BEING 2497 01:32:57,622 --> 01:32:59,391 SURVEY, WE CAN TAKE A SURVEY 2498 01:32:59,391 --> 01:33:01,793 THAT HAS THESE KINDS OF THINGS 2499 01:33:01,793 --> 01:33:03,728 REALLY WELL CHARACTERIZED AT THE 2500 01:33:03,728 --> 01:33:04,996 TIME SOMEBODY WAS A CHILD AND 2501 01:33:04,996 --> 01:33:06,865 THEN WE WILL SEE WHETHER IN THE 2502 01:33:06,865 --> 01:33:09,634 HRS AND IN STUDIES OF OLDER 2503 01:33:09,634 --> 01:33:11,269 ADULTS WE CAN TILL SEE 2504 01:33:11,269 --> 01:33:12,337 SIGNATURES OF THOSE THINGS, I 2505 01:33:12,337 --> 01:33:17,576 WILL TELL YOU THAT WE DO -- I 2506 01:33:17,576 --> 01:33:19,878 WILL NOT SHOW IT TODAY BUT FOR 2507 01:33:19,878 --> 01:33:21,480 SURE THERE ARE SIGNATURES OF 2508 01:33:21,480 --> 01:33:22,314 PATIENT SUBSTANCE USE THAT WE 2509 01:33:22,314 --> 01:33:25,617 CAN SEE IN OLDER AGE, AND THEN 2510 01:33:25,617 --> 01:33:27,152 OUR NEXT STEP IS TO SEE WHAT IS 2511 01:33:27,152 --> 01:33:28,320 THAT RELATED TO AND HOW WELL 2512 01:33:28,320 --> 01:33:30,989 DOES IT HELP US PREDICT THE 2513 01:33:30,989 --> 01:33:34,726 OUTCOMES IN OLDER AGE THAT WE 2514 01:33:34,726 --> 01:33:35,594 CARE ABOUT. 2515 01:33:35,594 --> 01:33:36,995 THE OTHER THING DNA METHYLATION 2516 01:33:36,995 --> 01:33:40,065 CAN HELP US DO IS LOOK AT EBS 2517 01:33:40,065 --> 01:33:41,967 POSURES, WE DON'T HAVE IN THE 2518 01:33:41,967 --> 01:33:44,402 SURVEY, OR WE CAN ASK 2519 01:33:44,402 --> 01:33:46,004 PARTICIPANTS ABOUT EASILY, SO IN 2520 01:33:46,004 --> 01:33:48,306 THIS PROJECT WE USE 2 MEASURES 2521 01:33:48,306 --> 01:33:51,042 OF MATERNAL SMOKING WHILE IN 2522 01:33:51,042 --> 01:33:53,745 UUTERO, 1 FROM AN EPIGENOME WIDE 2523 01:33:53,745 --> 01:33:56,681 STUDY OF NEW BORN CORD BLOOD 2524 01:33:56,681 --> 01:33:59,551 FROM 13 DIFFERENT CO HORRS AND 2525 01:33:59,551 --> 01:34:01,319 OTHER FROM OLDERA ADOLESCENTS 2526 01:34:01,319 --> 01:34:05,090 WHO SELF-REPORTED THAT THEIR 2527 01:34:05,090 --> 01:34:06,157 MOTHER SMOKED WHILE PREGNANT 2528 01:34:06,157 --> 01:34:07,526 WITH THEM SO AGAIN I USE THESE 2529 01:34:07,526 --> 01:34:09,294 METHOD WE TALK ABOUT BEFORE, AND 2530 01:34:09,294 --> 01:34:10,795 MACHINE LEARNING METHODS AND 2531 01:34:10,795 --> 01:34:16,001 USING SCORES FROM EWASS TO 2532 01:34:16,001 --> 01:34:17,702 CREATE RISK SCORES IN A 2533 01:34:17,702 --> 01:34:19,504 DIFFERENT STUDY SAMPLE, SO IN 2534 01:34:19,504 --> 01:34:21,840 THIS CASE, THE HRS, WE'RE 2535 01:34:21,840 --> 01:34:24,042 APPLYING THESE ALGORITHMS TO THE 2536 01:34:24,042 --> 01:34:25,911 HRS METHYLATION PROFILES TO SEE 2537 01:34:25,911 --> 01:34:29,915 WHAT WE FIND. 2538 01:34:29,915 --> 01:34:33,818 SO IT'S SMALL, BUT THERE IS A 2539 01:34:33,818 --> 01:34:35,820 LINEAR TREND HERE THAT -- SO 2540 01:34:35,820 --> 01:34:37,188 THIS IS THE MATERNAL SMOKING 2541 01:34:37,188 --> 01:34:40,525 RISK SCORE OF THAT NEW BORN 2542 01:34:40,525 --> 01:34:42,260 SCORE BY BIRTH YEAR. 2543 01:34:42,260 --> 01:34:44,396 SO, THE MORE RECENT BIRTH 2544 01:34:44,396 --> 01:34:46,665 COHORTS ON THE RIGHT HAND SIDE 2545 01:34:46,665 --> 01:34:49,634 SHOW HIGHER EXPOSURE, EXPOSURES 2546 01:34:49,634 --> 01:34:51,469 TO MATERNAL SMOKING SO HERE, 2547 01:34:51,469 --> 01:34:53,438 AGAIN, IS THE NEW BORN SCORE, IT 2548 01:34:53,438 --> 01:34:55,073 SHOWS THE SLIGHT LINEAR INCREASE 2549 01:34:55,073 --> 01:34:56,908 WITH THE MORE RECENT BIRTH YEARS 2550 01:34:56,908 --> 01:34:58,743 AND THAT FITS WITH THE NEAR 2551 01:34:58,743 --> 01:35:01,446 LINEAR INCREASE IN SMOKING AMONG 2552 01:35:01,446 --> 01:35:02,847 WOMEN AT THIS TIME HISTORICALLY 2553 01:35:02,847 --> 01:35:05,584 SO THIS IS BEFORE THE SURGEON 2554 01:35:05,584 --> 01:35:06,985 GENERAL'S REPORTS WERE THIS 2555 01:35:06,985 --> 01:35:08,453 PATTERN WILL START TO CHANGE BUT 2556 01:35:08,453 --> 01:35:11,256 HISTORICALLY THIS IS KIND OF HOW 2557 01:35:11,256 --> 01:35:21,800 SMOKING MOOPG WOMEN LOOKED OVER 2558 01:35:32,978 --> 01:35:33,812 THIS TIME PERIOD. 2559 01:35:33,812 --> 01:35:35,213 IF THERE WAS SIGNAL FADE WEIGH 2560 01:35:35,213 --> 01:35:36,681 WOULD HAVE REGRESSION TO THE 2561 01:35:36,681 --> 01:35:38,350 MEAN FOR MORE EXTREME VALUES SO 2562 01:35:38,350 --> 01:35:40,085 IN OTHER WORS WE WOULD EXEC THE 2563 01:35:40,085 --> 01:35:42,253 MORE RECENT BIRTH COHORTS TO 2564 01:35:42,253 --> 01:35:45,256 HAVE A WIDER RANGE OF SCORES 2565 01:35:45,256 --> 01:35:46,691 THAN WE FOUND HERE SO WE DON'T 2566 01:35:46,691 --> 01:35:49,427 THINK THERE'S A LOT OF EVIDENCE 2567 01:35:49,427 --> 01:35:50,729 OF SIGNAL PHASE BUT WE WERE 2568 01:35:50,729 --> 01:35:52,263 EXCITED THAT IT SHOWED AT LEAST 2569 01:35:52,263 --> 01:35:56,434 A PATTERN WE WERE EXPECTING. 2570 01:35:56,434 --> 01:35:57,969 WE LOOKED AT WHETHER THESE 2571 01:35:57,969 --> 01:36:01,373 SCORES WERE RELATED TO YOUR OWN 2572 01:36:01,373 --> 01:36:03,341 SMOKING SO HERE, THE RESULTS 2573 01:36:03,341 --> 01:36:04,943 SUGGEST THAD DNA METHYLATION 2574 01:36:04,943 --> 01:36:06,611 SCORES OF MATERNAL SMOKING WERE 2575 01:36:06,611 --> 01:36:10,215 RELATED TO THE PARTICIPANTS OWN 2576 01:36:10,215 --> 01:36:11,383 SMOKING AS AN ADULT. 2577 01:36:11,383 --> 01:36:12,484 THIS MAKES SENSE AND IT DIDN'T 2578 01:36:12,484 --> 01:36:14,653 MATTER HOW WE LOOKED AT SMOKING 2579 01:36:14,653 --> 01:36:16,688 WHETHER IT WAS EVER VERSUS 2580 01:36:16,688 --> 01:36:20,025 NEVER, OR CURRENT VERSUS EVER 2581 01:36:20,025 --> 01:36:21,326 AND DNA LOOKING AT PAST YEARS 2582 01:36:21,326 --> 01:36:25,296 THEY WERE ALL PRETTY STRONGLY 2583 01:36:25,296 --> 01:36:25,597 ASSOCIATED. 2584 01:36:25,597 --> 01:36:27,632 AND GENERALLY THIS FITS WITH THE 2585 01:36:27,632 --> 01:36:29,834 LITERATURE THAT SUGGESTS THERE'S 2586 01:36:29,834 --> 01:36:31,236 A SOCIALIZATION COMPONENT TO 2587 01:36:31,236 --> 01:36:34,406 SMOKING, SO WE WOULD EXPECT TO 2588 01:36:34,406 --> 01:36:35,073 SEE THIS. 2589 01:36:35,073 --> 01:36:36,474 BUT WITH WE WERE REALLY 2590 01:36:36,474 --> 01:36:38,910 INTERESTED IN IS WHETHER THIS -- 2591 01:36:38,910 --> 01:36:41,112 THESE SCORES WORKED IN MODELS 2592 01:36:41,112 --> 01:36:43,815 PREDICTING LATER LIFE MORBIDITY 2593 01:36:43,815 --> 01:36:44,449 AND MORTALITY. 2594 01:36:44,449 --> 01:36:48,486 SO HERE, THE DNA METHYLATION 2595 01:36:48,486 --> 01:36:49,454 SIGNATURE OF MATERNAL SMOKE 2596 01:36:49,454 --> 01:36:52,323 SUGGEST UNIQUE AND INDEPENDENTLY 2597 01:36:52,323 --> 01:36:53,358 PREDICTS MORTALITY AND INCIDENT 2598 01:36:53,358 --> 01:36:54,959 CHRONIC DISEASE OVER AND ABOVE 2599 01:36:54,959 --> 01:36:56,561 YOUR OWN SMOKING. 2600 01:36:56,561 --> 01:37:02,167 BUT NOT IN THE DIRECTION WE 2601 01:37:02,167 --> 01:37:02,434 EXPECTED. 2602 01:37:02,434 --> 01:37:04,803 THE SCORE I SHOWED HERE IS IT 2603 01:37:04,803 --> 01:37:07,505 SHOWED A FAIRLY STRONG 2604 01:37:07,505 --> 01:37:08,640 CONSISTENT ASSOCIATION WITH 2605 01:37:08,640 --> 01:37:10,475 MORTALITY 4 YEARS LATE BUT IT 2606 01:37:10,475 --> 01:37:12,544 ULTIMATELY - ACTUALLY WAS THAT 2607 01:37:12,544 --> 01:37:14,412 THE HIGHER MATERNAL SMOKING 2608 01:37:14,412 --> 01:37:18,149 SCORE YOU HAD, THE LOWER CHANCE 2609 01:37:18,149 --> 01:37:20,251 YOU HAD FOR YOUR -- THE 2610 01:37:20,251 --> 01:37:22,087 PROBABILITY OF YOUR MORTALITY 2611 01:37:22,087 --> 01:37:24,789 AND INSTANT CHRONIC DISEASE. 2612 01:37:24,789 --> 01:37:26,624 AND THIS RELATIONSHIP HELD BY 2613 01:37:26,624 --> 01:37:29,494 AGE GROUP, BIRTH COHORT, SEX AND 2614 01:37:29,494 --> 01:37:29,728 RACE. 2615 01:37:29,728 --> 01:37:30,862 INTERESTINGLY, ADJUSTING FOR 2616 01:37:30,862 --> 01:37:33,298 YOUR OWN SMOKING BEHAVIORS, THE 2617 01:37:33,298 --> 01:37:35,834 PARTICIPANTS OWN SMOKING 2618 01:37:35,834 --> 01:37:36,901 BEHAVIOR, YIELDED A SIGNIFICANT 2619 01:37:36,901 --> 01:37:41,639 INCREASE IN THE ASSOCIATION OF 2620 01:37:41,639 --> 01:37:43,942 MATERNAL IN UTERO SMOKING AND 2621 01:37:43,942 --> 01:37:45,844 OUTCOMES, PROBABLY BECAUSE IT'S 2622 01:37:45,844 --> 01:37:47,412 SOME KIND OF STATISTICAL 2623 01:37:47,412 --> 01:37:48,413 SUPPRESSOR OF THE SMOKING 2624 01:37:48,413 --> 01:37:49,147 RELATIONSHIP AND SO THE FIGURE 2625 01:37:49,147 --> 01:37:51,316 ON THE RIGHT IS THE WITH 2626 01:37:51,316 --> 01:37:53,952 MORTALITY BUT LIKE I SAID, WE 2627 01:37:53,952 --> 01:37:55,253 FOUND A SIMILAR RELATIONSHIP FOR 2628 01:37:55,253 --> 01:37:56,254 CHRONIC DEC SO WE'RE STILL 2629 01:37:56,254 --> 01:37:57,822 TRYING TO WRAP OUR HEADS AROUND 2630 01:37:57,822 --> 01:38:00,291 THIS BUT AGAIN, THIS WAS A GOOD 2631 01:38:00,291 --> 01:38:03,027 EXAMPLE OF OUR ABILITY TO TAKE 2632 01:38:03,027 --> 01:38:04,095 SOMETHING THAT WE CAN'T ASK 2633 01:38:04,095 --> 01:38:07,298 ABOUT IN THE SURVEY, AND USE 2634 01:38:07,298 --> 01:38:09,134 METHYLATION DATA THAT'S BEEN 2635 01:38:09,134 --> 01:38:14,372 TRAINED IN OTHER SAMPLES TO HELP 2636 01:38:14,372 --> 01:38:15,640 US UNDERSTAND WHETHER SOMEONE 2637 01:38:15,640 --> 01:38:17,242 HAS BEEN EXPOSED TO THIS TYPE OF 2638 01:38:17,242 --> 01:38:19,577 THING IN THEIR LIFE. 2639 01:38:19,577 --> 01:38:22,881 SO WE CAN DO THIS FOR MATERNAL 2640 01:38:22,881 --> 01:38:24,516 SMOKING IN UTERO, WE CAN DO THIS 2641 01:38:24,516 --> 01:38:26,017 FOR AIR POLLUTION, WE CAN DO 2642 01:38:26,017 --> 01:38:27,418 THIS FOR EXTREME TEMPERATURES, 2643 01:38:27,418 --> 01:38:29,454 THERE ARE A LOT OF THINGS THAT 2644 01:38:29,454 --> 01:38:36,661 WE CAN USE METHYLATION DATA FOR 2645 01:38:36,661 --> 01:38:38,463 THAT GIVES US INFORMATION ABOUT 2646 01:38:38,463 --> 01:38:41,800 EXPOSURES THAT WE COULDN'T 2647 01:38:41,800 --> 01:38:42,433 ACTUALLY ASK PARTICIPANTS ABOUT 2648 01:38:42,433 --> 01:38:42,934 FOR THEMSELVES. 2649 01:38:42,934 --> 01:38:44,235 THE LAST THING I WANT TO TALK 2650 01:38:44,235 --> 01:38:46,805 ABOUT USES OUR DATA ON PHYSICAL 2651 01:38:46,805 --> 01:38:48,306 ACTIVITY AND HERE THIS PROJECT 2652 01:38:48,306 --> 01:38:54,646 WAS INTERESTING BECAUSE IT 2653 01:38:54,646 --> 01:38:55,814 REALLY TAKES ADVANTAGE OF THE 2654 01:38:55,814 --> 01:38:59,484 DATA WE HAVE CLICKED PRIOR TO 2655 01:38:59,484 --> 01:39:00,752 THE DNA MEASUREMENT IN 2016. 2656 01:39:00,752 --> 01:39:02,620 HERE WE WANT TO UNDERSTAND HOW 2657 01:39:02,620 --> 01:39:07,559 PHYSICAL ACTIVITY IS RELATED TO 2658 01:39:07,559 --> 01:39:08,793 EPIGENETIC AGING SO AGAIN 2659 01:39:08,793 --> 01:39:09,260 LOOKINGA THE CLOCKS. 2660 01:39:09,260 --> 01:39:11,229 AND WE WERE INTERESTED IN 2661 01:39:11,229 --> 01:39:13,064 DIFFERENT PHYSICAL ACTIVITY SO 2662 01:39:13,064 --> 01:39:15,400 HOW THAT CHANGED OVERTIME SO 2663 01:39:15,400 --> 01:39:18,036 HERE WE USE 12 YEARS OF DATA 2664 01:39:18,036 --> 01:39:19,237 FROM HRS THE PHYSICAL ACTIVITY 2665 01:39:19,237 --> 01:39:21,706 PRIOR TO THE MEASUREMENT OF 2666 01:39:21,706 --> 01:39:22,540 METHYLATION TO INVESTIGATE THIS 2667 01:39:22,540 --> 01:39:23,308 RELATIONSHIP. 2668 01:39:23,308 --> 01:39:26,444 AND WE USE 3 DIFFERENT AGE 2669 01:39:26,444 --> 01:39:27,745 ACCELERATION MEASURES, 3 2670 01:39:27,745 --> 01:39:32,383 DIFFERENT CLOCKS SO THE 2671 01:39:32,383 --> 01:39:34,152 PHENO-AGE, AND PACE, SO AND WE 2672 01:39:34,152 --> 01:39:35,887 APPLIED A STRUCTURED LIFE COURSE 2673 01:39:35,887 --> 01:39:38,189 MODELING APPROACH TO DO THIS AND 2674 01:39:38,189 --> 01:39:39,624 ESSENTIALLY ALL THIS IS AN 2675 01:39:39,624 --> 01:39:42,927 EFFICIENT WAY TO TEST A LOT OF 2676 01:39:42,927 --> 01:39:44,796 DIFFERENT MODELS OF THE 2677 01:39:44,796 --> 01:39:45,930 RELATIONSHIP BETWEEN PHYSICAL 2678 01:39:45,930 --> 01:39:47,599 ACTIVITY OVER TIME, AND OUR 2679 01:39:47,599 --> 01:39:48,499 OUTCOME OF INTEREST. 2680 01:39:48,499 --> 01:39:51,669 SO IN PARTICULAR, ARE THERE 2681 01:39:51,669 --> 01:39:53,037 SENSITIVE TIME PERIODS, SO IS 2682 01:39:53,037 --> 01:39:54,772 THE MOST RECENT MEASURE OF 2683 01:39:54,772 --> 01:39:56,841 PHYSICAL ACTIVITY, MOST CLOSELY 2684 01:39:56,841 --> 01:39:59,978 SOCKED WITH OUR OUTCOME OF 2685 01:39:59,978 --> 01:40:01,045 METHYLATION OR IS IT 1 THAT 2686 01:40:01,045 --> 01:40:02,580 HAPPENED IN THE PAST OR THE 2687 01:40:02,580 --> 01:40:03,448 ACCUMULATION OF ALL OF THEM, 2688 01:40:03,448 --> 01:40:07,085 THIS IS WHAT WE'RE TESTING IN A 2689 01:40:07,085 --> 01:40:11,022 VERYENTIOUS -- VERY EFFICIENT 2690 01:40:11,022 --> 01:40:12,190 WAY AND TESTING AGAINST EACH 2691 01:40:12,190 --> 01:40:12,924 OTHER AND COMPARISONS AND ALL 2692 01:40:12,924 --> 01:40:13,992 THIS KIND OF STUFF. 2693 01:40:13,992 --> 01:40:16,060 BUT WE REALLY WANTED TO TAKE A 2694 01:40:16,060 --> 01:40:17,595 LIFE COURSE APPROACH HERE TO 2695 01:40:17,595 --> 01:40:18,429 DISTINGUISH BETWEEN THE 2696 01:40:18,429 --> 01:40:19,731 INFLUENCE OF SPECIFIC TIME 2697 01:40:19,731 --> 01:40:21,332 PERIODS OR SENSITIVE PERIODS AND 2698 01:40:21,332 --> 01:40:23,635 THE ACCUMULATIVE EFFECT OF 2699 01:40:23,635 --> 01:40:29,841 BEHAVIORS OVER TIME ON HEALTH 2700 01:40:29,841 --> 01:40:30,108 OUTCOMES. 2701 01:40:30,108 --> 01:40:35,713 SO I WILL SAY THE SLCMA APPROACH 2702 01:40:35,713 --> 01:40:36,714 JUST COMBINES VARIABLE SELECTION 2703 01:40:36,714 --> 01:40:38,149 PROCEDURE WITH A SELECTIVE 2704 01:40:38,149 --> 01:40:39,651 INFERENCE APPROACH. 2705 01:40:39,651 --> 01:40:40,418 SO AGAIN, SIMULTANEOUSLY TESTING 2706 01:40:40,418 --> 01:40:41,719 ALL THE DIFFERENT MODELS THAT 2707 01:40:41,719 --> 01:40:43,388 WE'RE INTERESTED IN, IT GIVES US 2708 01:40:43,388 --> 01:40:46,291 GREATER POWER TO DETECT THAT 2709 01:40:46,291 --> 01:40:47,926 ASSOCIATION PARTICULARLY WHEN WE 2710 01:40:47,926 --> 01:40:49,093 THINK THAT THAT UNDERLYING 2711 01:40:49,093 --> 01:40:51,696 RELATIONSHIP IS RELATED TO THE 2712 01:40:51,696 --> 01:40:53,364 TIMING OR CUMULATIVE AMOUNT OF 2713 01:40:53,364 --> 01:40:55,233 THE EXPOSURE, SO HERE THE 2714 01:40:55,233 --> 01:40:59,938 EXPOSURE IS PHYSICAL ACTIVITY. 2715 01:40:59,938 --> 01:41:04,242 AND IT USES LEAST ANGLE OR LARS 2716 01:41:04,242 --> 01:41:05,510 VARIABLE SELECTION, TO PREDICT 2717 01:41:05,510 --> 01:41:06,711 THE VARIABLE THAT PLAINS THE 2718 01:41:06,711 --> 01:41:07,745 MOST VARIATION IN THE OUTCOME 2719 01:41:07,745 --> 01:41:10,648 AND THAT'S WE WILL LOOK AT. 2720 01:41:10,648 --> 01:41:14,285 SO WHAT'S PRODUCED IS WHAT'S 2721 01:41:14,285 --> 01:41:15,653 CALLED AN ELBOW PLOT ON THE 2722 01:41:15,653 --> 01:41:18,089 RIGHT HAND SIDE AND SHOWS THE 2723 01:41:18,089 --> 01:41:18,957 DIFFERENT PREDICTORS TO WHAT YOU 2724 01:41:18,957 --> 01:41:20,558 HAVE AND WHAT IS CONTRIBUTING TO 2725 01:41:20,558 --> 01:41:21,592 THE VARIANCE EXPLAIN INDEED YOUR 2726 01:41:21,592 --> 01:41:23,561 OUTCOME AND IT WILL USE 2727 01:41:23,561 --> 01:41:24,862 THATULARS PROCEDURE TO SELECT 2728 01:41:24,862 --> 01:41:27,832 THE ECPOSURE THAT IS THE MOST 2729 01:41:27,832 --> 01:41:29,200 RELATED TO YOUR OUTCOME SO WHAT 2730 01:41:29,200 --> 01:41:30,768 WE SAW HERE WAS REGARDLESS OF 2731 01:41:30,768 --> 01:41:33,371 WHAT CLOCK WE USED WE HAD THE 2732 01:41:33,371 --> 01:41:35,573 SAME PATTERN SO ACCUMULATION OF 2733 01:41:35,573 --> 01:41:39,777 PHYSICAL ACTIVITY, MATTERED THE 2734 01:41:39,777 --> 01:41:43,681 MOST, IN TERMSOT EFFECT OF DNA 2735 01:41:43,681 --> 01:41:44,315 METHYLATION LATER AFTERPHYSICAL 2736 01:41:44,315 --> 01:41:45,783 ACTIVITY AND THE NEXT STRONGEST 2737 01:41:45,783 --> 01:41:46,718 RELATIONSHIP WAS PHYSICAL 2738 01:41:46,718 --> 01:41:47,919 ACTIVITY AT THE REPORTED AT THE 2739 01:41:47,919 --> 01:41:53,224 SAME TIME THAT WE COLLECTED THE 2740 01:41:53,224 --> 01:41:54,625 DNA METHYLATION DATA SO 2741 01:41:54,625 --> 01:41:55,760 ACCUMULATION FOLLOWED BY CURRENT 2742 01:41:55,760 --> 01:41:58,463 ACTIVITY OR THE STRONGEST 2743 01:41:58,463 --> 01:41:59,664 PREDICTERS OF EPIGENETIC AGING 2744 01:41:59,664 --> 01:42:01,099 REGARDLESS OF THE CLOCK WE USE 2745 01:42:01,099 --> 01:42:03,501 SO IT HIGHLIGHTS BOTH THE REF 2746 01:42:03,501 --> 01:42:04,435 VANCE OF LONG-TERM AND RECEIPT 2747 01:42:04,435 --> 01:42:08,306 ACTIVITY AND WE WERE REALLY 2748 01:42:08,306 --> 01:42:09,374 EXCITED ABOUT THIS RESUMMIT 2749 01:42:09,374 --> 01:42:11,009 BECAUSE IT ECHOES A LOST 2750 01:42:11,009 --> 01:42:13,444 EMERGING EVIDENCE FROM THE 2751 01:42:13,444 --> 01:42:14,012 PHYSICAL MEDICINE LITERATURE 2752 01:42:14,012 --> 01:42:16,481 SUGGESTING THAT THE SHORT BOUTS 2753 01:42:16,481 --> 01:42:19,150 OF ACUTE INDENSE TENSITY CAN 2754 01:42:19,150 --> 01:42:20,385 TRIGGER DISTINCT MOLECULAR 2755 01:42:20,385 --> 01:42:22,153 RESPONSES AND SKELETAL MUSCLE 2756 01:42:22,153 --> 01:42:22,854 ADAPTATION WITH LONG-TERM 2757 01:42:22,854 --> 01:42:23,788 BENEFITS AND THAT'S KIND OF WHAT 2758 01:42:23,788 --> 01:42:25,890 WE SEE HERE SO IT MATTERS WHAT 2759 01:42:25,890 --> 01:42:27,759 YOU'VE DONE OVER THE LONG-TERM 2760 01:42:27,759 --> 01:42:32,697 BUT IT ALSO MATTERS WHAT YOU 2761 01:42:32,697 --> 01:42:34,866 JUST DID SO THE ACTIVITY YOU'RE 2762 01:42:34,866 --> 01:42:37,602 ENGAGING IN NOW ALSO ILLICITS A 2763 01:42:37,602 --> 01:42:39,203 MOLECULAR CHANGE IN THE 2764 01:42:39,203 --> 01:42:40,872 SHORT-TERM, AND THAT'S EXCITING 2765 01:42:40,872 --> 01:42:42,573 FOR RESEARCHERS AND CLINICIANS 2766 01:42:42,573 --> 01:42:44,242 WHO THINK ABOUT BEHAVIORIAL 2767 01:42:44,242 --> 01:42:49,047 INTERVENTIONS SO YOU CAN CHANGE 2768 01:42:49,047 --> 01:42:52,884 WHAT'S GOING ON BY ENGAGING IN 2769 01:42:52,884 --> 01:42:55,053 VIGOROUS ACTIVITY NOW. 2770 01:42:55,053 --> 01:42:56,721 SO THAT IS KIND OF A WORLD WIND 2771 01:42:56,721 --> 01:42:58,356 TOUR OF THE TYPES OF THINGS THAT 2772 01:42:58,356 --> 01:43:01,059 WE HAVE BEEN WORKING ON WITH OUR 2773 01:43:01,059 --> 01:43:11,469 EPIGENETIC DATA, AGAIN, 2774 01:43:12,303 --> 01:43:12,804 INTEGRATING THINKING ABOUT 2775 01:43:12,804 --> 01:43:14,672 THINGS IN THE FUTURE AND THINGS 2776 01:43:14,672 --> 01:43:15,173 IN THE PAST. 2777 01:43:15,173 --> 01:43:16,908 BUT THIS IS THE TIP OF THE 2778 01:43:16,908 --> 01:43:17,909 ICEBERG, INCLUDING ALL THE DAILY 2779 01:43:17,909 --> 01:43:19,177 BASIS THEA I HAVE SHOWN YOU 2780 01:43:19,177 --> 01:43:20,745 TODAY THAT WE'VE USED FOR THE 2781 01:43:20,745 --> 01:43:21,679 PROGGENTS IS FREE AND AVAILABLE 2782 01:43:21,679 --> 01:43:23,414 TO THE PUBLIC, THE POWER OF THIS 2783 01:43:23,414 --> 01:43:25,316 STUDY IS THAT WE PUT IT IN THE 2784 01:43:25,316 --> 01:43:27,652 HANDS OF 10S OF THOUSANDS OF 2785 01:43:27,652 --> 01:43:29,987 RESEARCHERS EACH WITH OUR OWN 2786 01:43:29,987 --> 01:43:36,494 IDEA ANDS INGENUITY AND THEY 2787 01:43:36,494 --> 01:43:38,329 WILL COME UP WITH AND WHAT I'VE 2788 01:43:38,329 --> 01:43:40,064 SHOWN YOU TODAY SO THAT'S 2789 01:43:40,064 --> 01:43:40,998 EXCITING AND EVERYBODY HAS A 2790 01:43:40,998 --> 01:43:42,767 DIFFERENT AREA OF INTEREST AND 2791 01:43:42,767 --> 01:43:44,168 EXPERTISE AND BY MAKING THESE 2792 01:43:44,168 --> 01:43:45,436 DATA THAT WE WORK HARD TO 2793 01:43:45,436 --> 01:43:46,637 COLLECT AVAILABLE TO EVERYONE 2794 01:43:46,637 --> 01:43:47,705 REALLY JUST INCREASES THE 2795 01:43:47,705 --> 01:43:50,975 RESEARCH IMPACT OF THE WORK THAT 2796 01:43:50,975 --> 01:43:51,809 WE DO. 2797 01:43:51,809 --> 01:43:53,344 SO THIS GRAPH SHOWS YOU ALL THE 2798 01:43:53,344 --> 01:43:54,745 DIFFERENT ARTICLES AND REPORTS 2799 01:43:54,745 --> 01:43:56,013 AND DISSERTATIONS THAT HAVE BEEN 2800 01:43:56,013 --> 01:43:58,449 WRITTEN USING THE DAILY BASIS 2801 01:43:58,449 --> 01:44:00,184 THEA OF OVER 8000 OF THEM AND 2802 01:44:00,184 --> 01:44:03,454 REALLY THINGS JUST KEEP 2803 01:44:03,454 --> 01:44:05,490 INCREASING SO LASTIER WE HAD 2804 01:44:05,490 --> 01:44:06,457 38,000 DATA DOWNLOADS OF THE 2805 01:44:06,457 --> 01:44:08,726 VARIOUS PRODUCTS THAT WE PRODUCE 2806 01:44:08,726 --> 01:44:14,565 AND WE ALSO PARTICIPATE IN 2807 01:44:14,565 --> 01:44:15,600 COLLABORATIONS WITH OUR FAMILY 2808 01:44:15,600 --> 01:44:17,668 OF STUDIES ACROSS THE WORLD SO 2809 01:44:17,668 --> 01:44:25,343 CURRENTLY WE'RE IN 45 DIFFERENT 2810 01:44:25,343 --> 01:44:27,111 COUNTRIES AND COUNTING SOME HAVE 2811 01:44:27,111 --> 01:44:28,846 THE COGNITION STUDY, HCAP, SOME 2812 01:44:28,846 --> 01:44:30,915 HAVE ONLY HAVE 1 OR THE OTHER, 2813 01:44:30,915 --> 01:44:31,983 BUT ESSENTIALLY WE ALL WORK 2814 01:44:31,983 --> 01:44:33,284 TOGETHER TO INSURE THAT WHAT 2815 01:44:33,284 --> 01:44:35,553 WE'RE DOING IS HARMONIZED AND 2816 01:44:35,553 --> 01:44:37,255 VERY HIGH QUALITY AND AGAIN MADE 2817 01:44:37,255 --> 01:44:44,128 AVAILABLE TO THE PUBLIC FOR 2818 01:44:44,128 --> 01:44:46,430 RESEARCH USE. 2819 01:44:46,430 --> 01:44:48,866 THE NIA BIOMARKER IS WITH A LOT 2820 01:44:48,866 --> 01:44:50,301 OF COUNTRIES SO ASSISTING WITH 2821 01:44:50,301 --> 01:44:52,703 PLANNING AND PROTOCOLS TO INSURE 2822 01:44:52,703 --> 01:44:53,638 HARMONIZATION AND HIGH QUALITY 2823 01:44:53,638 --> 01:45:04,215 DATA AS BEST AS WE CAN. 2824 01:45:04,215 --> 01:45:06,017 AND TO MY KNOWLEDGE THIS WILL BE 2825 01:45:06,017 --> 01:45:07,652 THE LARGEST POPULATION 2826 01:45:07,652 --> 01:45:09,287 REPRESENTATIVE SAMPLE WITH RNA 2827 01:45:09,287 --> 01:45:10,454 SEQUENCING DATA THAT HAVE BEEN 2828 01:45:10,454 --> 01:45:12,723 MADE AVAILABLE SO PEOPLE WHO ARE 2829 01:45:12,723 --> 01:45:14,058 INTERESTED IN MULTIOMICS TYPE OF 2830 01:45:14,058 --> 01:45:16,594 RESEARCH WILL HAVE GENOMIC 2831 01:45:16,594 --> 01:45:17,862 EPIGENETIC, AND RNA DAT TO USE 2832 01:45:17,862 --> 01:45:20,531 ALL ON THE SAME PEOPLE MEASURED 2833 01:45:20,531 --> 01:45:22,600 AT THE SAME TIME AND WE ARE 2834 01:45:22,600 --> 01:45:24,936 ADDING MORE MEASURES OF 2835 01:45:24,936 --> 01:45:26,771 NEURODEGENERATION AND PROTEOMIC 2836 01:45:26,771 --> 01:45:28,873 MEASURES RELATED TO NEUROLOGICAL 2837 01:45:28,873 --> 01:45:35,913 DISEASE TO THE SUITE OF WHAT 2838 01:45:35,913 --> 01:45:37,515 WE'RE PUTTING OUT WE SHOULD HAVE 2839 01:45:37,515 --> 01:45:39,617 THE DATA AFTER THIS TIME POINT, 2840 01:45:39,617 --> 01:45:40,518 SO AFTER THE 2016 DATA 2841 01:45:40,518 --> 01:45:41,152 COLLECTION I TALKED ABOUT TODAY 2842 01:45:41,152 --> 01:45:43,154 AND THAT WILL BE REALLY EXCITING 2843 01:45:43,154 --> 01:45:45,756 BECAUSE WE WILL GET A SENSE OF 2844 01:45:45,756 --> 01:45:46,857 HOW QUICKLY THINGS ARE 2845 01:45:46,857 --> 01:45:47,391 CHAIMPLING. 2846 01:45:47,391 --> 01:45:49,060 WE WILL BETTER BE ABLE TO LOOK 2847 01:45:49,060 --> 01:45:51,128 AT CAUSAL ANALYSIS AND LOOK AT 2848 01:45:51,128 --> 01:45:52,496 EVENTS THAT HAPPEN BETWEEN 2849 01:45:52,496 --> 01:45:53,698 ELECTIONS, COVID SITS IN THE 2850 01:45:53,698 --> 01:45:54,398 MIDDLE OF THIS. 2851 01:45:54,398 --> 01:45:59,570 FOR US SO THAT WILL BE BOTH 2852 01:45:59,570 --> 01:46:00,805 INTERESTING AND COMPLICATING BUT 2853 01:46:00,805 --> 01:46:02,540 HOPEFULLY WE WILL LEARN GREAT 2854 01:46:02,540 --> 01:46:04,375 THINGS BY HAVING LONGITUDINAL 2855 01:46:04,375 --> 01:46:08,279 DATA NOT JUST OF THE SOCIAL AND 2856 01:46:08,279 --> 01:46:11,882 BEHAVIORIAL DAT AWE ABOUT OF THE 2857 01:46:11,882 --> 01:46:12,917 BIOLAGEICAL DATA AS WELL. 2858 01:46:12,917 --> 01:46:15,319 AND WE ARE WORKING WITH THIS 2859 01:46:15,319 --> 01:46:17,989 DATA THAT ARE HARMONIZED AND 2860 01:46:17,989 --> 01:46:18,956 ESPECIALLY THESE OMICS PIPELINES 2861 01:46:18,956 --> 01:46:20,391 BECAUSE THEY CAN BE TRICKY IN 2862 01:46:20,391 --> 01:46:21,225 TERMS OF MAKING SURE THAT 2863 01:46:21,225 --> 01:46:23,194 QUALITY CONTROL AND THE 2864 01:46:23,194 --> 01:46:24,929 ASSUMPTIONS PEOPLE MAKE CREATING 2865 01:46:24,929 --> 01:46:26,097 THEIR ANALYTIC DATA SETS ARE ALL 2866 01:46:26,097 --> 01:46:36,007 DONE THE SAME WAY. 2867 01:46:36,007 --> 01:46:37,908 WITH WITH THAT I WANT TO SAY 2868 01:46:37,908 --> 01:46:39,310 THANK YOU, I HOPE THIS HAS GIVEN 2869 01:46:39,310 --> 01:46:41,912 YOU A FLAVOR OF THE WORK, AND IF 2870 01:46:41,912 --> 01:46:44,649 YOU HAVE IDEAS OR QUESTIONS 2871 01:46:44,649 --> 01:46:46,584 DON'T HESITATE TO REACH OUT TO 2872 01:46:46,584 --> 01:46:47,785 ME AND A QUICK THEY THINKS TO 2873 01:46:47,785 --> 01:46:50,288 OUR STAFF AND OUR PARTICIPANTS 2874 01:46:50,288 --> 01:47:00,731 AND OF COURSE OUR FUNDERS. 2875 01:47:02,133 --> 01:47:02,633 >> FANTASTIC TALK. 2876 01:47:02,633 --> 01:47:04,001 THANK YOU SO MUCH JESSICA. 2877 01:47:04,001 --> 01:47:05,970 WE CAN HOPE IT UP FOR QUESTIONS. 2878 01:47:05,970 --> 01:47:06,537 >> HAPPY TOO. 2879 01:47:06,537 --> 01:47:15,713 THIS IS MY FAVORITE PART. 2880 01:47:15,713 --> 01:47:15,980 QUESTIONS. 2881 01:47:15,980 --> 01:47:17,481 SUSAN START US OFF? 2882 01:47:17,481 --> 01:47:19,483 >> JESSICA THAT WAS REALLY 2883 01:47:19,483 --> 01:47:20,718 GREAT, ESPECIALLY FOR SOMEONE 2884 01:47:20,718 --> 01:47:21,786 WHO'S NOT A BASIC SCIENTIST TO 2885 01:47:21,786 --> 01:47:22,820 FOLLOW YOU, SO I APPRECIATE 2886 01:47:22,820 --> 01:47:24,288 THAT, I HAD A QUESTION ABOUT 2887 01:47:24,288 --> 01:47:26,691 EXERCISE SO YOU TALK ABOUT THE 2888 01:47:26,691 --> 01:47:28,192 ACCUMULATION OF EXERCISE, AND 2889 01:47:28,192 --> 01:47:29,026 RECENT EXERCISE, AND MAYBE IF 2890 01:47:29,026 --> 01:47:33,264 YOU COULD GIVE US A BIT MORE 2891 01:47:33,264 --> 01:47:36,534 INFORMATION ABOUT WHAT THEY WERE 2892 01:47:36,534 --> 01:47:38,769 DEFINING OR YOU WERE DEFINING AS 2893 01:47:38,769 --> 01:47:39,036 EXERCISE. 2894 01:47:39,036 --> 01:47:40,071 >> YEAH, I DIDN'T HAVE TIME TO 2895 01:47:40,071 --> 01:47:41,706 GO INTO IT BUT WE WERE JUST 2896 01:47:41,706 --> 01:47:43,641 LOOKING AT VIGOROUS AND MODERATE 2897 01:47:43,641 --> 01:47:44,041 EXERCISE. 2898 01:47:44,041 --> 01:47:45,976 SO IN THE HRS WE DON'T HAVE A 2899 01:47:45,976 --> 01:47:48,713 TON OF PEOPLE WHO ARE 2900 01:47:48,713 --> 01:47:50,114 PARTICIPATE NOTHING REGULAR 2901 01:47:50,114 --> 01:47:52,183 VIGOROUS EXERCISE SO WE MADE A 2902 01:47:52,183 --> 01:47:53,684 CUT POINT, I TO GO BACK AND LOOK 2903 01:47:53,684 --> 01:47:55,653 AT WHAT IT WAS BUT IT WAS 2904 01:47:55,653 --> 01:47:57,088 ENGAGING IN MODERATE EXERCISE, 2905 01:47:57,088 --> 01:47:58,923 MULTIPLE TIMES A WEEK OR 2906 01:47:58,923 --> 01:47:59,924 VIGOROUS EXERCISE AT LEAST ONCE, 2907 01:47:59,924 --> 01:48:02,426 SO WE WERE TRYING TO MAKE A 2908 01:48:02,426 --> 01:48:04,362 PRETTY -- NOT SUPER HIGH, BUT 2909 01:48:04,362 --> 01:48:12,069 KIND OF HIGH CUT POINT ON THIS 2910 01:48:12,069 --> 01:48:14,372 AND SO, IT'S MOSTLY MODERATE 2911 01:48:14,372 --> 01:48:16,874 TIMES PER WEEK AND VIGOROUS. 2912 01:48:16,874 --> 01:48:19,944 I WILL SAY THAT FOR MY POST DOC 2913 01:48:19,944 --> 01:48:21,879 IS NOW LOOKING AT YOU KNOW WHERE 2914 01:48:21,879 --> 01:48:25,049 DO WE DRAW THAT LINE? 2915 01:48:25,049 --> 01:48:26,851 DOES JUST WALKING SOME AND 2916 01:48:26,851 --> 01:48:28,619 BETWEEN WALKING AND BEING 2917 01:48:28,619 --> 01:48:29,553 PRIMARILY SEDENTARY DO WE SEE 2918 01:48:29,553 --> 01:48:31,222 THE SAME KIND OF RELATIONSHIP? 2919 01:48:31,222 --> 01:48:34,525 SO I THINK IT WILL BE 2920 01:48:34,525 --> 01:48:35,893 INTERESTING TO THINK ABOUT AND 2921 01:48:35,893 --> 01:48:37,828 WE CAN'T PF PF WE CAN'T PUT 2922 01:48:37,828 --> 01:48:41,565 THINGS IN A SLCA MODEL VERY 2923 01:48:41,565 --> 01:48:45,936 EASILY SO IT HAS TO BE A DICHOT 2924 01:48:45,936 --> 01:48:47,671 MOUSE MEASURE AND SO HOW DO WE 2925 01:48:47,671 --> 01:48:49,240 DRAW THE CUT POINT, WHAT DOES 2926 01:48:49,240 --> 01:48:50,508 THAT MEAN ABOUT RECOMMENDATIONS 2927 01:48:50,508 --> 01:48:51,842 PEOPLE ARE GIVEN ABOUT HOW MUCH 2928 01:48:51,842 --> 01:48:53,310 THEY SHOULD ENGAINL IN EXERCISE 2929 01:48:53,310 --> 01:48:54,578 AND WE'RE ALSO LIMITED A LITTLE 2930 01:48:54,578 --> 01:48:56,180 BIT IN HOW WELL WE CAN MEASURE 2931 01:48:56,180 --> 01:48:58,015 IT IN A SURVEY. 2932 01:48:58,015 --> 01:49:01,519 YOU KNOW IN AN E DEAL WORLD YOU 2933 01:49:01,519 --> 01:49:02,820 WOULD HAVE AN ACTIGER 2934 01:49:02,820 --> 01:49:03,721 DATABASERAPHY DEVICE AND YOU 2935 01:49:03,721 --> 01:49:04,922 WOULD HAVE EVERYONE ALL HOOKED 2936 01:49:04,922 --> 01:49:06,190 UP TO THAT KIND OF THING BUT 2937 01:49:06,190 --> 01:49:10,361 WE'RE WORKING WITH PEOPLE IN 2938 01:49:10,361 --> 01:49:11,429 KINESIOLOGY TO DO MORE OF THAT 2939 01:49:11,429 --> 01:49:14,498 TYPE OF THING, TO DO MORE 2940 01:49:14,498 --> 01:49:15,433 INTERVENTIONAL TYPE APPROACHES 2941 01:49:15,433 --> 01:49:18,569 WHERE WE'RE TAKING METHYLATION 2942 01:49:18,569 --> 01:49:19,737 DATA SORT OF BEFORE 2943 01:49:19,737 --> 01:49:22,006 INTERVENTION, HAVING THEM DO 2944 01:49:22,006 --> 01:49:23,841 LOTS OF THINGS FOR VARIOUS 2945 01:49:23,841 --> 01:49:25,309 AMOUNTS OF TIMES AND SEEING WHAT 2946 01:49:25,309 --> 01:49:27,711 KIND OF SUSTAINED OR REALLY HIGH 2947 01:49:27,711 --> 01:49:29,680 INTENSITY ACTIVITY IS NEEDED TO 2948 01:49:29,680 --> 01:49:30,614 ILLICIT A RESPONSE IN 2949 01:49:30,614 --> 01:49:31,348 METHYLATION, IT WILL HAVE BEEN 2950 01:49:31,348 --> 01:49:33,083 TO BE PRETTY HIGH. 2951 01:49:33,083 --> 01:49:35,553 >> ALL RIGHT, THANK YOU. 2952 01:49:35,553 --> 01:49:39,490 >> GOOD QUESTION. 2953 01:49:39,490 --> 01:49:40,624 >> FRANK. 2954 01:49:40,624 --> 01:49:41,859 >> JOHN HAS -- YOU'RE NUMBER 4, 2955 01:49:41,859 --> 01:49:43,561 I THOUGHT YOU HAD 4 HANDS RAISED 2956 01:49:43,561 --> 01:49:47,498 I WAS LIKE WHAT? 2957 01:49:47,498 --> 01:49:50,801 >> THANK YOU JESSICA, REALLY 2958 01:49:50,801 --> 01:49:52,036 AMAZING, COUPLE MORE BRIEF 2959 01:49:52,036 --> 01:49:53,571 QUESTIONS BECAUSE, YOU KNOW 1 IS 2960 01:49:53,571 --> 01:50:01,612 JUST MORE THE TECHNICAL AND MY 2961 01:50:01,612 --> 01:50:03,814 QUESTION IS MORE TIMING OF BLOOD 2962 01:50:03,814 --> 01:50:04,582 COLLECTION MIGHT BE IMPORTANT 2963 01:50:04,582 --> 01:50:05,916 AND HOW YOU'RE DEALING WITH 2964 01:50:05,916 --> 01:50:07,084 THAT, I MEAN, YOU CAN'T CHANGE 2965 01:50:07,084 --> 01:50:09,186 WHAT YOU ALREADY HAVE, BUT 2966 01:50:09,186 --> 01:50:10,855 MOVING FORWARD, HOW DO YOU DEAL 2967 01:50:10,855 --> 01:50:13,157 WITH THAT, LIKE TIME OF DAY, OR 2968 01:50:13,157 --> 01:50:15,493 YOU KNOW CONTEXT OF TIMING, YOU 2969 01:50:15,493 --> 01:50:21,832 KNOW COLLECTING THE SAMPLES TO 2970 01:50:21,832 --> 01:50:22,700 LOOK AT METHYLATION,. 2971 01:50:22,700 --> 01:50:25,402 >> OKAY, SO IN THERE ARE THERE 2 2972 01:50:25,402 --> 01:50:25,870 QUESTIONS. 2973 01:50:25,870 --> 01:50:27,671 SO TIME OF DAY, THERE HAVE BEEN 2974 01:50:27,671 --> 01:50:29,139 CONFLICTING REPORTS ABOUT THIS 2975 01:50:29,139 --> 01:50:31,175 BUT GENERALLY IN OUR STUDY WE 2976 01:50:31,175 --> 01:50:32,910 DON'T FIND MUCH OF AN EFFECTIVE 2977 01:50:32,910 --> 01:50:35,546 TIME OF DAY, OR OF SEASON. 2978 01:50:35,546 --> 01:50:36,947 AND REALLY WHAT'S GOING ON, I 2979 01:50:36,947 --> 01:50:39,683 THINK WHEN PEOPLE LOOK AT THIS, 2980 01:50:39,683 --> 01:50:40,885 ISENTIOUS SPECIALLY RELATED TO 2981 01:50:40,885 --> 01:50:43,087 SEASON, THERE'S A SEASONALITY TO 2982 01:50:43,087 --> 01:50:44,989 OUR DATA COLLECTION, TOO, THAT'S 2983 01:50:44,989 --> 01:50:46,423 COMPLETELY CONFOUNDED BY WHO 2984 01:50:46,423 --> 01:50:49,026 PARTICIPANTS FIRST AND WHO 2985 01:50:49,026 --> 01:50:49,426 PARTICIPATES LAST. 2986 01:50:49,426 --> 01:50:51,996 SO, THE PEOPLE WHO DO THE SURVEY 2987 01:50:51,996 --> 01:50:54,098 FIRST FOR US LARGELY IN THE 2988 01:50:54,098 --> 01:50:56,267 SUMMER MONTHS ARE USUALLY 2989 01:50:56,267 --> 01:50:57,668 HEALTHIER, THEY'RE MORE 2990 01:50:57,668 --> 01:50:59,003 COPRAATIVE, FOR SURE, BY THE 2991 01:50:59,003 --> 01:51:00,738 TIME WE GET TO THE WINTER MONTHS 2992 01:51:00,738 --> 01:51:02,907 WE'RE GETTING TO THE HARDER TO 2993 01:51:02,907 --> 01:51:04,441 REACH SAMPLE, THE LESS 2994 01:51:04,441 --> 01:51:06,844 COOPERATIVE, SO FOR US 2995 01:51:06,844 --> 01:51:08,245 SEASONALITY IS COMPLETELY 2996 01:51:08,245 --> 01:51:09,146 CONFOUND WIDE PARTICIPATION 2997 01:51:09,146 --> 01:51:10,080 CHARACTER IEOF THETICS IN 2998 01:51:10,080 --> 01:51:11,916 GENERAL, WE HAVE LIKE I SAID 2999 01:51:11,916 --> 01:51:15,252 LOOKED AT TIME OF DAY, AND WE 3000 01:51:15,252 --> 01:51:18,689 DON'T SEE ANY TIME OF DAY 3001 01:51:18,689 --> 01:51:20,724 EFFECTS ON METHYLATION THAT 3002 01:51:20,724 --> 01:51:25,362 CAN'T BE EXPLAINED BY SAMPLE 3003 01:51:25,362 --> 01:51:25,729 CHARACTERISTICS. 3004 01:51:25,729 --> 01:51:26,964 AND IF YOU THINK ABOUT 3005 01:51:26,964 --> 01:51:27,831 METHYLATION SHOULDN'T BE CHANGE 3006 01:51:27,831 --> 01:51:29,233 THAGOREAN MUCH IN TERMS OF TIME 3007 01:51:29,233 --> 01:51:30,768 OF DAY, THAT WOULD BE BAD FOR 3008 01:51:30,768 --> 01:51:32,369 OUR BODIES, SO WE DON'T WORRY 3009 01:51:32,369 --> 01:51:33,304 ABOUT THAT TOO MUCH. 3010 01:51:33,304 --> 01:51:35,739 WHAT WE DO WORRY ABOUT IS THE 3011 01:51:35,739 --> 01:51:37,608 INTEGRITY OF THE SAMPLE IN 3012 01:51:37,608 --> 01:51:42,713 SHIPPING. 3013 01:51:42,713 --> 01:51:45,816 YOU KNOW SO, SO WE DID AN 3014 01:51:45,816 --> 01:51:47,284 ANNOYING AND EXHAUSTIVE TYPE OF 3015 01:51:47,284 --> 01:51:49,186 TESTS PRIOR TO THIS MEASUREMENT 3016 01:51:49,186 --> 01:51:53,691 TO INSURE THAT SAMPLES, YOU KNOW 3017 01:51:53,691 --> 01:51:54,892 WHETHER THEY WERE TEMPERATURE 3018 01:51:54,892 --> 01:51:56,627 CONTROLLED AS WELL AS THEY 3019 01:51:56,627 --> 01:51:57,928 SHOULD HAVE BEEN OR SAMPLES THAT 3020 01:51:57,928 --> 01:52:01,231 DIDN'T SHOW UP WITHIN THE 24-48 3021 01:52:01,231 --> 01:52:03,067 HOUR WIND O, HOW STABLE IS 3022 01:52:03,067 --> 01:52:04,702 METHYLATION IN THE TYPE OF 3023 01:52:04,702 --> 01:52:05,869 COLLECTION PROCEDURES WE HAVE TO 3024 01:52:05,869 --> 01:52:07,137 DO AND DEAL WITH WHEN WE'RE 3025 01:52:07,137 --> 01:52:08,639 COLLECTING ALL OVER THE COUNTRY 3026 01:52:08,639 --> 01:52:10,941 AND IN FACT METHYLATION IS QUITE 3027 01:52:10,941 --> 01:52:12,276 ROBUST TO PRETTY MUCH ANYTHING 3028 01:52:12,276 --> 01:52:14,445 WE CAN THROW AT IT SO IN OUR 3029 01:52:14,445 --> 01:52:17,147 EXPERIMENTS WE ACTUALLY WENT OUT 3030 01:52:17,147 --> 01:52:19,650 AS LONG AS 30 DAYS AND BLOOD 3031 01:52:19,650 --> 01:52:22,252 SAMPLES THAT ARE NOT 3032 01:52:22,252 --> 01:52:23,754 REFRIGERATED AND METHYLATION IS 3033 01:52:23,754 --> 01:52:26,590 STILL AS A SAMPLE WE ANALYZED 3034 01:52:26,590 --> 01:52:26,890 IMMEDIATELY. 3035 01:52:26,890 --> 01:52:28,492 SO FORTUNATELY THIS IS NOT 1 OF 3036 01:52:28,492 --> 01:52:29,994 THE BIOMARKERS WHERE WE WORRY 3037 01:52:29,994 --> 01:52:30,694 ABOUT COLLECTION HAVING IMPACT 3038 01:52:30,694 --> 01:52:35,966 ON OUR ABILITY TO GET A VALID 3039 01:52:35,966 --> 01:52:37,234 ASSAY RESULT. 3040 01:52:37,234 --> 01:52:39,303 IT'S LIKE 1 OF THE FEW. 3041 01:52:39,303 --> 01:52:39,670 >> THANK YOU. 3042 01:52:39,670 --> 01:52:41,171 AND THEN JUST A BIT MORE ABOUT 3043 01:52:41,171 --> 01:52:42,873 HOW YOU THINK ABOUT CAUSALITY, 3044 01:52:42,873 --> 01:52:44,074 YOU MENTIONED THE MEDIATION 3045 01:52:44,074 --> 01:52:45,809 ANALYSIS AND I IMAGINATION IN 3046 01:52:45,809 --> 01:52:47,978 SOME CONTEXT, THE METHYLATIONS' 3047 01:52:47,978 --> 01:52:51,382 AN IMPORTANT PATTERN THAT 3048 01:52:51,382 --> 01:52:52,349 REVEALS THE ENVIRONMENTAL 3049 01:52:52,349 --> 01:52:54,385 FACTORS ET CETERA, BUT TO WHAT 3050 01:52:54,385 --> 01:52:57,821 EXTENT ARE THESE CHANGES IN 3051 01:52:57,821 --> 01:52:58,589 METHYLATION AND PERHAPS 3052 01:52:58,589 --> 01:53:00,357 THEREFORE GENE EXPRESSION PART 3053 01:53:00,357 --> 01:53:07,231 OF A CAUSALITY OF AGE RELEVANT 3054 01:53:07,231 --> 01:53:07,965 END POINTS. 3055 01:53:07,965 --> 01:53:09,767 >> YEAH, TO BE HONEST, I DON'T 3056 01:53:09,767 --> 01:53:11,502 THINK WE KNOW FULLY AND THAT'S 3057 01:53:11,502 --> 01:53:12,770 WHAT'S EXCITING ABOUT THIS, I 3058 01:53:12,770 --> 01:53:14,972 WON'T INTO THIS THINKING THAT OH 3059 01:53:14,972 --> 01:53:15,806 METHYLATION IS PART OF THE 3060 01:53:15,806 --> 01:53:18,175 MECHANISM AND IF WE CAN 3061 01:53:18,175 --> 01:53:21,378 INTERVENE ON THIS MECHANISM, WE 3062 01:53:21,378 --> 01:53:22,279 CAN CHANGE EVERYTHING. 3063 01:53:22,279 --> 01:53:23,480 I'M LESS CONVINCED OF THAT NOW 3064 01:53:23,480 --> 01:53:24,948 ALTHOUGH I STILL THINK IT'S PART 3065 01:53:24,948 --> 01:53:28,852 OF IT, I THINK METHYLATION IS AN 3066 01:53:28,852 --> 01:53:31,021 EXTRAORDINARY BIOMARKER, IT'S AN 3067 01:53:31,021 --> 01:53:32,289 EXTRAORDINARY BIOMARKER OF 3068 01:53:32,289 --> 01:53:33,123 UNDERLYING DISEASE PROCESSES SO 3069 01:53:33,123 --> 01:53:34,792 IN THAT WAY, MAYBE IT'S PART OF 3070 01:53:34,792 --> 01:53:36,460 THE MECHANISM, BUT IT'S 3071 01:53:36,460 --> 01:53:37,728 DEFINITELY AN EXTRAORDINARY 3072 01:53:37,728 --> 01:53:38,662 BIOMARKER OF EXPOSURES, I THINK 3073 01:53:38,662 --> 01:53:41,031 IT'S GOING TO TAKE SOME WORK TO 3074 01:53:41,031 --> 01:53:42,833 FIGURE OUT WHERE IS IT IN THE 3075 01:53:42,833 --> 01:53:44,034 MECHANISM OF THINGS, AND IT'S 3076 01:53:44,034 --> 01:53:46,470 GOING TO TAKE RNA DATA ON TOP OF 3077 01:53:46,470 --> 01:53:48,205 IT TO UNDERSTAND, YOU KNOW THE 3078 01:53:48,205 --> 01:53:51,809 COMPLETE MECHANISM OF GENE 3079 01:53:51,809 --> 01:53:56,046 EXPRESSION, THAT'S WHY THE 3080 01:53:56,046 --> 01:53:57,581 LONGITUDINAL DAT ON THE 3081 01:53:57,581 --> 01:54:00,651 BEHAVIORIAL AND EXPOSURE SIDE 3082 01:54:00,651 --> 01:54:02,486 AND ON THE BIOLOGICAL SIDE ARE 3083 01:54:02,486 --> 01:54:03,020 SO IMPORTANT. 3084 01:54:03,020 --> 01:54:05,756 WE WILL NEVER BE AN ANIMAL MODEL 3085 01:54:05,756 --> 01:54:07,024 WE CAN'T DO THAT BUT THIS IS 3086 01:54:07,024 --> 01:54:09,727 WHERE KIND OF THAT BASIC BENCH 3087 01:54:09,727 --> 01:54:10,928 SCIENCE AND ANIMAL MODELS AND 3088 01:54:10,928 --> 01:54:13,430 YOU KNOW THESE KIND OF DATA FROM 3089 01:54:13,430 --> 01:54:14,832 POPULATION STUDIES REALLY CAN 3090 01:54:14,832 --> 01:54:17,000 START TO COMPLEMENT EACH OTHER. 3091 01:54:17,000 --> 01:54:19,069 I THINK IT'S GOING TO TAKE BOTH 3092 01:54:19,069 --> 01:54:21,004 IT FIGURE IT OUT TO BE HONEST. 3093 01:54:21,004 --> 01:54:22,039 >> YEAH, THANK YOU. 3094 01:54:22,039 --> 01:54:23,941 I AM GLAD TO SEE YOU WILL BE 3095 01:54:23,941 --> 01:54:34,418 HEADING TO INTEGRATION WITH 3096 01:54:34,718 --> 01:54:35,552 PROTEOMICS. 3097 01:54:35,552 --> 01:54:35,853 >> NANCY? 3098 01:54:35,853 --> 01:54:36,520 >> GREAT PRESENTATION, I'LL NOT 3099 01:54:36,520 --> 01:54:39,490 EVEN A SCIENTIST SO I COULD 3100 01:54:39,490 --> 01:54:41,125 UNDERSTAND SOME OF IT. 3101 01:54:41,125 --> 01:54:42,893 I HAVE KIND OF A LARGER ISSUE 3102 01:54:42,893 --> 01:54:45,195 QUESTION, IESM AHEAD OF THE 3103 01:54:45,195 --> 01:54:45,829 AMERICAN GERIATRICKIZATIONIATIC 3104 01:54:45,829 --> 01:54:49,466 SOCIETY AND IT'S REALLY AROUND 3105 01:54:49,466 --> 01:54:50,134 THE INTERNATIONAL COLLABORATIONS 3106 01:54:50,134 --> 01:54:52,336 BECAUSE THEY SEE A REAL 3107 01:54:52,336 --> 01:54:54,071 IMPORTANCE IN US BEING ABLE TO 3108 01:54:54,071 --> 01:54:57,674 DO THAT, US CONTINUING TO DO 3109 01:54:57,674 --> 01:54:59,409 THAT AND YOU KNOW, IF YOU COULD 3110 01:54:59,409 --> 01:55:01,478 JUST GIVE US THE LAY OF THE LAND 3111 01:55:01,478 --> 01:55:03,413 ON HOW THOSE COLLABORATIONS 3112 01:55:03,413 --> 01:55:05,415 WORK, HOW THEY'RE FUNDED, THIS 3113 01:55:05,415 --> 01:55:07,217 CERTAINLY TURN IT OVER TO JOHN 3114 01:55:07,217 --> 01:55:11,488 TO HELP WITH THAT, IF YOU WANT 3115 01:55:11,488 --> 01:55:17,995 TO, BUT THE MAIN POINT IF YOU 3116 01:55:17,995 --> 01:55:19,530 COULD GIVE US A SENSE OF REALLY 3117 01:55:19,530 --> 01:55:21,064 OF WHY THAT'S CRITICALLY 3118 01:55:21,064 --> 01:55:23,867 IMPORTANT TO THE ADVANCEMENT OF 3119 01:55:23,867 --> 01:55:26,069 THE SCIENCE THAT WE HAVE THESE 3120 01:55:26,069 --> 01:55:27,604 INTERNATIONAL COLLABORATIONS, I 3121 01:55:27,604 --> 01:55:29,339 THINK THAT WOULD BE REALLY 3122 01:55:29,339 --> 01:55:31,375 HELPFUL FOR ME, OUR MEMBERS AND 3123 01:55:31,375 --> 01:55:35,179 THE OLDER ADULTS THAT WE SERVE. 3124 01:55:35,179 --> 01:55:35,746 >> YEAH, DEFINITELY. 3125 01:55:35,746 --> 01:55:37,014 I WILL SAY SAY A STATEMENT AND 3126 01:55:37,014 --> 01:55:38,816 THEN I WILL LOOK AT JOHN'S FACE 3127 01:55:38,816 --> 01:55:40,584 AND SEE IF I SAID IT RIGHT OR 3128 01:55:40,584 --> 01:55:41,285 NOT. 3129 01:55:41,285 --> 01:55:43,620 I THINK THE NIA PLAYS A CRUCIAL 3130 01:55:43,620 --> 01:55:45,856 ROLE IN A LOT OF THE STUDIES I 3131 01:55:45,856 --> 01:55:48,091 TALKED ABOUT ON THAT MAP WHICH 3132 01:55:48,091 --> 01:55:50,627 ARE OUR HRS INTERNATIONAL FAMILY 3133 01:55:50,627 --> 01:55:52,229 OF STUDIES, OFTEN PROVIDING THE 3134 01:55:52,229 --> 01:55:55,098 SEED MONEY TO GET STARTED, WE 3135 01:55:55,098 --> 01:55:56,934 USUALLY OFTEN REQUIRE THAT THERE 3136 01:55:56,934 --> 01:55:58,869 IS A LOCAL COLLABORATOR SO THERE 3137 01:55:58,869 --> 01:56:01,205 HAS TO BE BUY IN FROM THE LOCAL 3138 01:56:01,205 --> 01:56:02,506 GOVERNMENT, FROM LOCAL 3139 01:56:02,506 --> 01:56:05,542 INSTITUTIONS, BOTH TO MAKE IT 3140 01:56:05,542 --> 01:56:07,377 SUCCESSFUL BUT ALSO TO SHOW 3141 01:56:07,377 --> 01:56:08,445 THERE'S SUSTAINED FUNDING FOR IT 3142 01:56:08,445 --> 01:56:09,580 GOING FORWARD SO THAT'S NOT 3143 01:56:09,580 --> 01:56:11,381 ALWAYS COMING FROM THE NIA, SO I 3144 01:56:11,381 --> 01:56:13,250 REALLY THINK ABOUT THE NIA 3145 01:56:13,250 --> 01:56:16,420 FUNDING AS A KICK STARTER, VERY 3146 01:56:16,420 --> 01:56:17,287 IMPORTANT CRUCIAL KICK STARTER 3147 01:56:17,287 --> 01:56:19,323 BECAUSE IT ALLOWS THEM TO 3148 01:56:19,323 --> 01:56:20,958 DEVELOP FROM DAY 1, USING MODELS 3149 01:56:20,958 --> 01:56:23,293 THAT WE THINK HAVE THE BEST 3150 01:56:23,293 --> 01:56:23,760 SCIENTIFIC INTEGRITY. 3151 01:56:23,760 --> 01:56:25,863 SO YOU KNOW POPULATION 3152 01:56:25,863 --> 01:56:26,496 REPRESENTATION IS SUPER 3153 01:56:26,496 --> 01:56:27,898 IMPORTANT TO US, THIS CAN'T JUST 3154 01:56:27,898 --> 01:56:30,400 BE A RANDOM SAMPLE OF -- IT 3155 01:56:30,400 --> 01:56:31,835 CAN'T BE A NONRANDOM SAMPLE OF 3156 01:56:31,835 --> 01:56:34,972 PEOPLE THAT ARE EASY TO GET. 3157 01:56:34,972 --> 01:56:36,406 LIKE WE REALLY WANT TO REFLECT 3158 01:56:36,406 --> 01:56:37,841 THE POPULATIONS OF THESE 3159 01:56:37,841 --> 01:56:39,276 COUNTRIES DATA ACCESS AND DAT 3160 01:56:39,276 --> 01:56:40,577 SHARE SUGGEST ANOTHER HALLMARK 3161 01:56:40,577 --> 01:56:42,779 OF THESE STUDIES, AGAIN REALLY 3162 01:56:42,779 --> 01:56:43,347 IMPORTANT PRINCIPLE THAT'S 3163 01:56:43,347 --> 01:56:45,115 REQUIRED TO BE PART OF THIS 3164 01:56:45,115 --> 01:56:47,751 FAMILY, BUT THEN, YOU KNOW THE 3165 01:56:47,751 --> 01:56:49,786 MONEY FROM THE NIA FOR VARIOUS 3166 01:56:49,786 --> 01:56:50,854 NETWORKS, AGAIN, HELPS ALL OF 3167 01:56:50,854 --> 01:56:52,522 THAT HAPPEN, IN A VALID AND 3168 01:56:52,522 --> 01:56:54,291 RELIABLE EFFICIENT AND ORGANIZED 3169 01:56:54,291 --> 01:56:55,192 AND COLLABORATIVE WAY. 3170 01:56:55,192 --> 01:56:57,594 SO WE SHARE ALL OF OUR EXPERTISE 3171 01:56:57,594 --> 01:57:01,265 WHETHER IT BE ON THE SURVEY 3172 01:57:01,265 --> 01:57:02,666 SIDE, THE BIOLOGICAL DATA 3173 01:57:02,666 --> 01:57:04,401 COLLECTION SIDE, LIKE NO SENSE 3174 01:57:04,401 --> 01:57:05,569 IN REINVENTING THE WHEEL, LIKE 3175 01:57:05,569 --> 01:57:07,404 WE'VE DONE THIS AND DONE IT IN A 3176 01:57:07,404 --> 01:57:09,106 LOT OF DIFFERENT ENVIRONMENTS 3177 01:57:09,106 --> 01:57:10,173 AND UNDER DIFFERENT CONTEXT AND 3178 01:57:10,173 --> 01:57:11,475 WE CAN HELP, LIKE WE CAN HELP 3179 01:57:11,475 --> 01:57:14,011 SHARE WHAT WE KNOW, WHAT WORKS, 3180 01:57:14,011 --> 01:57:19,216 WHAT DOESN'T WORK, AND WORK WITH 3181 01:57:19,216 --> 01:57:20,717 OUR COLLABORATORS AND THE LOCAL 3182 01:57:20,717 --> 01:57:21,551 PARTNERS TO FIGURE OUT WHAT'S 3183 01:57:21,551 --> 01:57:23,086 GOING TO WORK IN THE CONTEXT. 3184 01:57:23,086 --> 01:57:24,354 WHAT OTHER QUESTIONS YOU WANT TO 3185 01:57:24,354 --> 01:57:25,689 ASK, HOW BEST DO WE GO AFTER 3186 01:57:25,689 --> 01:57:28,191 THAT AND I'M THINKING AGAIN 3187 01:57:28,191 --> 01:57:29,493 LARNLLYOT BIOLOGICAL SIDE HERE. 3188 01:57:29,493 --> 01:57:30,560 NOT EVERYBODY'S INTERESTED IN 3189 01:57:30,560 --> 01:57:33,430 THE SAME MARKERS THAT WE ARE, 3190 01:57:33,430 --> 01:57:34,364 SOMETIMES VERY DIFFERENT THINGS 3191 01:57:34,364 --> 01:57:35,265 THAT AFFECT THE POPULATION AND 3192 01:57:35,265 --> 01:57:37,367 WE NEED TO BE ABLE TO COLLECT 3193 01:57:37,367 --> 01:57:38,468 SAMPLES THAT ALLOWS US TO ANSWER 3194 01:57:38,468 --> 01:57:39,002 THOSE QUESTIONS. 3195 01:57:39,002 --> 01:57:40,938 BUT TO GET TO YOUR OTHER POINT 3196 01:57:40,938 --> 01:57:43,440 ABOUT WHY DOES THIS MATTER, IT 3197 01:57:43,440 --> 01:57:45,409 MATTERS YOU KNOW FOR CROSS 3198 01:57:45,409 --> 01:57:47,144 NATIONAL RESEARCH BECAUSE I WILL 3199 01:57:47,144 --> 01:57:48,345 GIVE YOU 2 EXAMPLES, 1, YOU KNOW 3200 01:57:48,345 --> 01:57:52,516 WE HAVE A COLLABORATION RIGHT 3201 01:57:52,516 --> 01:57:54,351 NOW WITH OUR FAMILY SISTER STUDY 3202 01:57:54,351 --> 01:57:57,521 IN IRE LABD AND IN NORTHERN 3203 01:57:57,521 --> 01:57:58,088 IRELAND. 3204 01:57:58,088 --> 01:58:00,023 HERE WE HAVE 3 WAY COMPARISON. 3205 01:58:00,023 --> 01:58:01,458 WE ALL HAVE METHYLATION DATA WE 3206 01:58:01,458 --> 01:58:03,627 ALL HAVE THE SAME SURVEY 3207 01:58:03,627 --> 01:58:04,861 INSTRUMENT BUT EVERYONE'S A BIT 3208 01:58:04,861 --> 01:58:06,830 DIFFERENT AND IN IRELAND AND 3209 01:58:06,830 --> 01:58:08,699 NORTHERN IRELAND WE HAVE VERY 3210 01:58:08,699 --> 01:58:09,833 DIFFERENT SOCIAL CONTEXTS, WE 3211 01:58:09,833 --> 01:58:11,001 HAVE VERY DIFFERENT SES 3212 01:58:11,001 --> 01:58:12,302 STRUCTURE IN SOME WAYS IN 3213 01:58:12,302 --> 01:58:13,537 EMERGING ITS OF WHAT'S 3214 01:58:13,537 --> 01:58:14,738 IMPORTANT, YOU KNOW IS IT MONEY, 3215 01:58:14,738 --> 01:58:19,076 IS IT A PROFESSION, BUT THEN IN 3216 01:58:19,076 --> 01:58:20,544 NORTHERN IRELAND WE HAVE A VERY 3217 01:58:20,544 --> 01:58:21,445 UNIQUE EXPERIENCE OF THE 3218 01:58:21,445 --> 01:58:23,814 TROUBLES, SO PEOPLE WERE EXPOSED 3219 01:58:23,814 --> 01:58:25,549 TO VERY DIFFERENT TYPES OF 3220 01:58:25,549 --> 01:58:26,850 TRAUMA THAN THEY WERE IN THE 3221 01:58:26,850 --> 01:58:29,252 REPUBLIC AND WERE IN THE U.S. 3222 01:58:29,252 --> 01:58:30,988 AND THAT GIVES US A REALLY 3223 01:58:30,988 --> 01:58:32,656 IMPORTANT INSIGHT INTO THE 3224 01:58:32,656 --> 01:58:34,825 RELATIONSHIP BETWEEN STRESS AND 3225 01:58:34,825 --> 01:58:36,093 EARLY LIFE EXPOSURES AND 3226 01:58:36,093 --> 01:58:36,960 METHYLATION THAT WE COULDN'T DO 3227 01:58:36,960 --> 01:58:39,162 IN THE U.S. BUT WE CAN COMPARE 3228 01:58:39,162 --> 01:58:41,565 IF ON A LOT OF THINGS AND WE CAN 3229 01:58:41,565 --> 01:58:44,768 USE THAT AGAIN SO LIKE THESE 3230 01:58:44,768 --> 01:58:46,737 METHYLATION SURROGATES SO WE CAN 3231 01:58:46,737 --> 01:58:49,206 USE -- ACTUALLY WE USED GPS TO 3232 01:58:49,206 --> 01:58:50,941 LOCATE WHERE PEOPLE WERE WHEN 3233 01:58:50,941 --> 01:58:52,109 SIGNIFICANT THINGS HAPPEN INDEED 3234 01:58:52,109 --> 01:58:53,310 NORTHERN IESH LAND AND ALSO THE 3235 01:58:53,310 --> 01:58:56,079 SELF-REPORT OF THE TYPE OF 3236 01:58:56,079 --> 01:58:58,015 EXPOSURES THEY HAD AND THE 3237 01:58:58,015 --> 01:59:00,851 TRAUMA THAT I HAD TO CREATE AND 3238 01:59:00,851 --> 01:59:01,651 CREATE METHYLATION SURROGATES OF 3239 01:59:01,651 --> 01:59:02,753 THOSE EBS POSURE ANDS WE CAN 3240 01:59:02,753 --> 01:59:04,254 LOOK FOR THAT IN THE U.S. 3241 01:59:04,254 --> 01:59:04,554 POPULATION. 3242 01:59:04,554 --> 01:59:05,922 AGAIN, IT'S NONAPOPTOTIC OF-WE 3243 01:59:05,922 --> 01:59:07,290 MAYBE DON'T KNOW HOW TO ASK THE 3244 01:59:07,290 --> 01:59:08,558 QUESTION THE RIGHT WAY BUT 3245 01:59:08,558 --> 01:59:09,493 PEOPLE HAVE DIFFERENT LIFE 3246 01:59:09,493 --> 01:59:12,896 EXPERIENCES AND SO THIS KIND OF 3247 01:59:12,896 --> 01:59:13,797 COLLABORATION IT'S NOT 3248 01:59:13,797 --> 01:59:15,065 NECESSARILY A DIRECT COMPARISON 3249 01:59:15,065 --> 01:59:18,402 BUT IT ALLOWS US TO THINK ABOUT 3250 01:59:18,402 --> 01:59:20,637 DIFFERENT SOCIAL CONTEXTS AND 3251 01:59:20,637 --> 01:59:21,371 THAT'S REALLY IMPORTANT, ANOTHER 3252 01:59:21,371 --> 01:59:24,775 EXAMPLE IN THAT STUDY IS RELATED 3253 01:59:24,775 --> 01:59:27,911 TO HEALTHCARE, VERY DIFFERENT 3254 01:59:27,911 --> 01:59:30,881 HEALTHCARE SYSTEM IN IRELAND AND 3255 01:59:30,881 --> 01:59:32,382 NORTHERN IRELAND THAN WE HAVE IN 3256 01:59:32,382 --> 01:59:34,384 THE U.S. SO AGAIN WE'RE 3257 01:59:34,384 --> 01:59:35,085 LEVERAGING SIMILARITIES AND 3258 01:59:35,085 --> 01:59:36,820 DIFFERENCES TO THINK ABOUT CROSS 3259 01:59:36,820 --> 01:59:37,854 NATIONAL COMPARISONS. 3260 01:59:37,854 --> 01:59:40,357 THE OTHER 1 I WILL POINT OUT IN 3261 01:59:40,357 --> 01:59:42,225 OUR STUDY IN INDIA IS THE HRS 3262 01:59:42,225 --> 01:59:45,128 LIKE STUDY IN INDIA AND THEY 3263 01:59:45,128 --> 01:59:46,296 HAVE EXTRAORDINARY BIOLAGEICAL 3264 01:59:46,296 --> 01:59:47,397 MEASURE AMS INCLUDING 3265 01:59:47,397 --> 01:59:48,665 METHYLATION THAT WILL COME ON 3266 01:59:48,665 --> 01:59:50,734 BOARD SOON BUT A VERY DIFFERENT 3267 01:59:50,734 --> 01:59:53,403 SOCIAL CONTEXT, VERY DIFFERENT 3268 01:59:53,403 --> 01:59:54,071 ENVIRONMENTAL CONTEXT. 3269 01:59:54,071 --> 01:59:55,472 TYPESET HADS US TO UNDERSTAND 3270 01:59:55,472 --> 01:59:57,140 THINGS LIKE AIR POLLUTION, WHEN 3271 01:59:57,140 --> 01:59:59,076 WE HAVE EXPOSURES, THAT ARE 3272 01:59:59,076 --> 02:00:01,011 WILDLY DIFFERENT AND IN 3273 02:00:01,011 --> 02:00:02,012 DIFFERENT COUNTRIES, BUT AGAIN 3274 02:00:02,012 --> 02:00:03,980 LAYERED ON DIFFERENT SOCIAL 3275 02:00:03,980 --> 02:00:06,083 CONTEXT, DIFFERENT INFECTIOUS 3276 02:00:06,083 --> 02:00:07,684 DISEASE, EXPOSURES, TO KIND OF 3277 02:00:07,684 --> 02:00:11,188 INTEREST, YOU KNOW PARTS OF THIS 3278 02:00:11,188 --> 02:00:12,823 IN GETTING BACK TO FRANK'S 3279 02:00:12,823 --> 02:00:13,657 QUESTION ABOUT MECHANISMS, LIKE 3280 02:00:13,657 --> 02:00:14,858 WHAT PARTS OF THIS ARE 3281 02:00:14,858 --> 02:00:17,094 MECHANISMS AND WE CAN REALLY 3282 02:00:17,094 --> 02:00:19,162 ONLY BECAUSE WE CAN'T 3283 02:00:19,162 --> 02:00:20,597 EXPERIMENTALLY ASSIGN PEOPLE 3284 02:00:20,597 --> 02:00:22,232 DIFFERENT EXPOSURES AS HUMANS, 3285 02:00:22,232 --> 02:00:23,266 HAVING THESE DIFFERENT CONTEXTS 3286 02:00:23,266 --> 02:00:25,268 AND THESE DIFFERENT EXPOSURES 3287 02:00:25,268 --> 02:00:27,637 ALLOWS US TO LEVERAGE THOSE 3288 02:00:27,637 --> 02:00:30,907 DIFFERENCES TO BETTER UNDERSTAND 3289 02:00:30,907 --> 02:00:31,842 WHAT'S GOING ON. 3290 02:00:31,842 --> 02:00:32,976 NDID I SAY ANYTHING TOTALLY 3291 02:00:32,976 --> 02:00:34,644 WRONG ABOUT THE FUNDING? 3292 02:00:34,644 --> 02:00:36,613 >> I SAW A LOT OF HEAD NODDING 3293 02:00:36,613 --> 02:00:37,214 FROM JOHN. 3294 02:00:37,214 --> 02:00:37,681 >> THAT WAS GREAT. 3295 02:00:37,681 --> 02:00:39,583 I FEEL LIKE YOU HAVE A 3296 02:00:39,583 --> 02:00:41,318 PROFESSION IN PROGRAM IF YOU 3297 02:00:41,318 --> 02:00:42,953 DECIDE TO LEAVE MICHIGAN. 3298 02:00:42,953 --> 02:00:44,921 >> I'VE HUNG OUT WITH YOU A LOT 3299 02:00:44,921 --> 02:00:46,890 JOHN, WHAT CAN I SAY. 3300 02:00:46,890 --> 02:00:50,393 >> JESSICA THAT WAS A TERRIFIC 3301 02:00:50,393 --> 02:00:55,732 ANSWER AND I THINK MY SORT OF 2 3302 02:00:55,732 --> 02:01:00,170 KEY TAKE AWAYS ARE 1 THE NIA 3303 02:01:00,170 --> 02:01:01,571 INVESTMENTS LEVERAGE INVESTMENTS 3304 02:01:01,571 --> 02:01:03,273 FROM OTHER COUNTRIES IN 3305 02:01:03,273 --> 02:01:04,841 COLLECTION OF THIS DATA AND 3306 02:01:04,841 --> 02:01:06,109 THESE BIOMARKERS SO IT'S REALLY 3307 02:01:06,109 --> 02:01:11,081 -- IT'S A PARTNERSHIP, NOT A 3308 02:01:11,081 --> 02:01:11,915 UNITED STATES FUNDING, 3309 02:01:11,915 --> 02:01:13,183 EVERYTHING, AND THEN THE SECOND 3310 02:01:13,183 --> 02:01:17,020 TAKE AWAY IS THAT THAT REBOUNDS 3311 02:01:17,020 --> 02:01:19,656 TO THE BENEFIT OF U.S. CITIZENS 3312 02:01:19,656 --> 02:01:22,492 BECAUSE IT HELPS US TO ADVANCE 3313 02:01:22,492 --> 02:01:23,460 THE SCIENCE QUICKER THAN WE 3314 02:01:23,460 --> 02:01:26,062 MIGHT BE ABLE TO ADVANCE IT IF 3315 02:01:26,062 --> 02:01:31,001 WE WERE LIMITING OURSELVES TO 3316 02:01:31,001 --> 02:01:31,568 STUDIES AND DATA COLLECTION 3317 02:01:31,568 --> 02:01:35,172 WITHIN U.S. POPULATIONS AND I 3318 02:01:35,172 --> 02:01:39,442 THINK THE OTHER THING THAT 3319 02:01:39,442 --> 02:01:40,977 YOU'VE SAID IS AROUND THE -- YOU 3320 02:01:40,977 --> 02:01:42,812 KNOW YOU KIND OF QUIPPED, WE MAY 3321 02:01:42,812 --> 02:01:44,781 NOT ALWAYS KNOW THE RIGHT 3322 02:01:44,781 --> 02:01:46,616 QUESTIONS BUT I THINK THIS KIND 3323 02:01:46,616 --> 02:01:48,251 OF AGAIN CROSS NATIONAL 3324 02:01:48,251 --> 02:01:49,152 COLLABORATION, HELPS US TO 3325 02:01:49,152 --> 02:01:50,887 FIGURE OUT THE RIGHT QUESTIONS 3326 02:01:50,887 --> 02:01:53,056 AND I THINK AS THE LAY PERSON, 3327 02:01:53,056 --> 02:01:55,458 THAT'S A LOT OF WHAT SCIENCE IS 3328 02:01:55,458 --> 02:01:57,561 ABOUT, IT'S A TRIAL AND ERROR TO 3329 02:01:57,561 --> 02:02:00,864 GET TO THE RIGHT QUESTION, SO, 3330 02:02:00,864 --> 02:02:02,432 DEFINITELY REALLY APPRECIATE 3331 02:02:02,432 --> 02:02:05,268 THIS WORK AND THE NIA'S LONG 3332 02:02:05,268 --> 02:02:06,436 STANDING SUPPORT OF IT. 3333 02:02:06,436 --> 02:02:09,105 EVEN IF I DON'T UNDERSTAND SOME 3334 02:02:09,105 --> 02:02:10,006 OF THE WORDS. 3335 02:02:10,006 --> 02:02:12,075 >> THANK YOU NANCY, THAT WAS A 3336 02:02:12,075 --> 02:02:13,376 MUCH MORE ELOQUENT AND SUCCINCT 3337 02:02:13,376 --> 02:02:15,278 WAY OF SAYING WHAT I WAS TRYING 3338 02:02:15,278 --> 02:02:15,745 TO SAY. 3339 02:02:15,745 --> 02:02:17,547 SO THANK YOU. 3340 02:02:17,547 --> 02:02:19,716 >> WELL, I NEEDED EVERYTHING FOR 3341 02:02:19,716 --> 02:02:21,117 YOU SAID TO ME FOR THAT. 3342 02:02:21,117 --> 02:02:22,085 >> WE'RE A GOOD TEAM. 3343 02:02:22,085 --> 02:02:23,253 WE'RE A GOOD TEAM. 3344 02:02:23,253 --> 02:02:25,188 >> YEAH, WE'RE A GOOD TEAM AND 3345 02:02:25,188 --> 02:02:28,592 THE FACT THAT YOU CHOSE IRELAND 3346 02:02:28,592 --> 02:02:29,826 REALLY RESONATED WITH ME SINCE 3347 02:02:29,826 --> 02:02:31,695 THAT'S THE MAJORITY OF MY ROOTS. 3348 02:02:31,695 --> 02:02:33,530 I WAS LIKE GHEE, WE LEARNED MORE 3349 02:02:33,530 --> 02:02:41,905 ABOUT ME FROM THIS. 3350 02:02:41,905 --> 02:02:42,672 NEXCELLENT. 3351 02:02:42,672 --> 02:02:43,139 SANJAJ. 3352 02:02:43,139 --> 02:02:44,674 >> YEAH, THANK YOU. 3353 02:02:44,674 --> 02:02:45,809 JESSICA FIRST AND FOREMOST, 3354 02:02:45,809 --> 02:02:47,944 THANK YOU THAT WAS A AN 3355 02:02:47,944 --> 02:02:49,079 IMPRESSIVE PRESENTATION AND 3356 02:02:49,079 --> 02:02:49,813 REALLY YOU UNDERSCORED HOW 3357 02:02:49,813 --> 02:02:52,983 IMPORTANT IT IS FOR US TO STUDY 3358 02:02:52,983 --> 02:02:53,984 THE SOCIOLOGICAL BIOLOGICAL 3359 02:02:53,984 --> 02:02:56,786 BASIS OF COMMON AGING ASSOCIATED 3360 02:02:56,786 --> 02:02:57,487 DISEASES INCLUDING DEMENTIA AND 3361 02:02:57,487 --> 02:03:00,123 HEART DISEASE AND SO ON. 3362 02:03:00,123 --> 02:03:03,460 I AM SURE YOU ARE AWARE OF THE 3363 02:03:03,460 --> 02:03:04,160 WISCONSIN LONGITUDINAL STUDY 3364 02:03:04,160 --> 02:03:07,197 HERE AT THE UNIVERSITY OF 3365 02:03:07,197 --> 02:03:09,399 WISCONSIN AND FUNDED BY NIA 3366 02:03:09,399 --> 02:03:11,768 SINCE 1999 ACTUALLY AND THIS 3367 02:03:11,768 --> 02:03:13,503 STUDY INCLUDED 10,000 HIGH 3368 02:03:13,503 --> 02:03:16,673 SCHOOL GRADUATES OF WISCONSIN OF 3369 02:03:16,673 --> 02:03:20,010 1957, SO THEY'VE BEEN FOLLOWED 3370 02:03:20,010 --> 02:03:22,045 FOR NEARLY 70 YEARS AND THAT 3371 02:03:22,045 --> 02:03:23,213 LONGITUDINAL DATA IS REALLY 3372 02:03:23,213 --> 02:03:23,980 UNIQUE. 3373 02:03:23,980 --> 02:03:27,450 IT'S JUST LIKE A AN HRS. 3374 02:03:27,450 --> 02:03:29,753 SO I'M GETTING TO MY QUESTION 3375 02:03:29,753 --> 02:03:31,721 VERY SOON, SO 10 YEARS AGO, NIA 3376 02:03:31,721 --> 02:03:33,857 GAVE US FUNDS TO ESTABLISH A 3377 02:03:33,857 --> 02:03:36,593 DEMENTIA DIAGNOSIS ON THAT 3378 02:03:36,593 --> 02:03:38,528 COHORT, ABOUT 5000 PEOPLE ARE 3379 02:03:38,528 --> 02:03:40,563 ALIVE AND ACTIVE IN THIS STUDY 3380 02:03:40,563 --> 02:03:43,667 AND THEN LAST YEAR WE GOT SOME 3381 02:03:43,667 --> 02:03:45,635 FUNDS TO MEASURE BLOOD BASED 3382 02:03:45,635 --> 02:03:46,936 BIOMARKERS FOR ALZHEIMERS AND 3383 02:03:46,936 --> 02:03:49,472 OTHER DISEASES, AND WE ARE DOING 3384 02:03:49,472 --> 02:03:50,874 THAT THROUGH HOME BASED BLOOD 3385 02:03:50,874 --> 02:03:52,575 COLLECTION, IN FACT THESE PEOPLE 3386 02:03:52,575 --> 02:03:53,943 LIVE THROUGHOUT THE UNITED 3387 02:03:53,943 --> 02:03:56,012 STATES AND YOU KNOW YOU PROBABLY 3388 02:03:56,012 --> 02:03:58,982 USE THEM AS WELL, THE VENDOR GO 3389 02:03:58,982 --> 02:04:00,283 ACROSS THE COUNTRY ASK COLLECT 3390 02:04:00,283 --> 02:04:01,785 BLOOD AND PROCESS AND ALL THOSE 3391 02:04:01,785 --> 02:04:02,018 THINGS. 3392 02:04:02,018 --> 02:04:04,187 SO 1 OF THE THINGS YOU 3393 02:04:04,187 --> 02:04:05,622 HIGHLIGHTED IS YOU ARE GOING TO 3394 02:04:05,622 --> 02:04:08,725 COLLECT SOME NEW MEASURES OF 3395 02:04:08,725 --> 02:04:10,694 NEURODEGENERATION IN YOUR COHORT 3396 02:04:10,694 --> 02:04:11,695 WHICH IS ABSOLUTELY CRITICAL. 3397 02:04:11,695 --> 02:04:14,097 LET ME ASK YOU, I WOULD LOVE TO 3398 02:04:14,097 --> 02:04:16,032 HEAR YOUR VIEW HERE SO WE HAVE 3399 02:04:16,032 --> 02:04:17,567 BEEN TALKING ABOUT -- THINKING 3400 02:04:17,567 --> 02:04:20,103 ABOUT BRAIN DONATION AND BRAIN 3401 02:04:20,103 --> 02:04:25,608 AUTOPSIES ON THESE COHORTS. 3402 02:04:25,608 --> 02:04:26,810 AND WE REALLY JUST STARTED 3403 02:04:26,810 --> 02:04:29,112 THINKING ABOUT IT AND I'M PRETTY 3404 02:04:29,112 --> 02:04:31,614 SERIOUS THAT WE NEED TO GO THAT 3405 02:04:31,614 --> 02:04:34,150 WAY AND I WONDER IF IN HRS YOU 3406 02:04:34,150 --> 02:04:36,986 HAVE THOUGHT ABOUT OR YOU HAVE 3407 02:04:36,986 --> 02:04:42,559 STARTED THE PROCESS OF AUTOPSY 3408 02:04:42,559 --> 02:04:44,527 CONSENT FROM YOUR PARTICIPANTS 3409 02:04:44,527 --> 02:04:47,797 EVENTUALLY TOWARD GETTING A 3410 02:04:47,797 --> 02:04:48,798 BRAIN AUTOPSY. 3411 02:04:48,798 --> 02:04:49,966 >> WE HAVE DEFINITELY THOUGHT 3412 02:04:49,966 --> 02:04:51,234 ABOUT IT. 3413 02:04:51,234 --> 02:04:53,370 THE LOGISTICS OF HOW TO DO IT 3414 02:04:53,370 --> 02:04:55,004 WITH WE'RE SPREAD OUT ACROSS THE 3415 02:04:55,004 --> 02:04:56,172 ENTIRE COUNTRY ARE NOT SO 3416 02:04:56,172 --> 02:04:58,842 DAUNTING THAT WE WOULDN'T GO 3417 02:04:58,842 --> 02:05:00,276 THERE BUT DEFINITELY ARE GIVING 3418 02:05:00,276 --> 02:05:00,677 US PAUSE. 3419 02:05:00,677 --> 02:05:03,046 SO 1 OF THE ADVANTAGE OF THE 3420 02:05:03,046 --> 02:05:05,448 STUDIES OF WLS OR THE RUSH 3421 02:05:05,448 --> 02:05:07,050 MISDEMEANORRY STUDY, OF PEOPLE, 3422 02:05:07,050 --> 02:05:09,319 I KNOW IN WLS PEOPLE HAVE MOVED 3423 02:05:09,319 --> 02:05:11,421 SOMEWHAT BUT THERE'S STILL A 3424 02:05:11,421 --> 02:05:12,622 CONCENTRATED GROUP OF PEOPLE IN 3425 02:05:12,622 --> 02:05:12,889 WISCONSIN. 3426 02:05:12,889 --> 02:05:15,091 SO YOU KNOW WHEN YOU HAVE A MORE 3427 02:05:15,091 --> 02:05:16,993 LOCALIZED DATA COLLECTION, CAN 3428 02:05:16,993 --> 02:05:19,829 YOU GET AWAY WITH MUCH MORE FUN 3429 02:05:19,829 --> 02:05:21,231 THINGS THAN YOU CAN DO WHEN 3430 02:05:21,231 --> 02:05:22,265 YOU'RE SPREAD ACROSS THE U.S., 3431 02:05:22,265 --> 02:05:25,435 BUT I HAVE BEEN THINKING, MUCH 3432 02:05:25,435 --> 02:05:26,703 ALONG THE LINES OF THE -- IN THE 3433 02:05:26,703 --> 02:05:28,972 WAY WE WERE THINKING ABOUT DOING 3434 02:05:28,972 --> 02:05:30,039 BRAIN IMAGING, IS YOU KNOW MAYBE 3435 02:05:30,039 --> 02:05:34,010 WE DON'T HAVE TO GET EVERYBODY, 3436 02:05:34,010 --> 02:05:35,945 MAYBE IT'S ABOUT HAVING SOME 3437 02:05:35,945 --> 02:05:37,247 LOCALIZED CENTERS THAT WE WOULD 3438 02:05:37,247 --> 02:05:40,183 PARTNER WITH IN ORDER TO DO 3439 02:05:40,183 --> 02:05:43,686 THIS, SO IT IS DEFINITELY ON OUR 3440 02:05:43,686 --> 02:05:45,755 MINDS, BUT WE HAVE NOT YET 3441 02:05:45,755 --> 02:05:48,491 STARTED TO CONSENT FOR IT. 3442 02:05:48,491 --> 02:05:51,227 >> SO 1 OTHER THING THAT WE 3443 02:05:51,227 --> 02:05:54,264 DISCUSSED IS ARE GOING TO LOOK 3444 02:05:54,264 --> 02:05:56,466 INTO DETAIL, YOU THE ADRCs ARE 3445 02:05:56,466 --> 02:05:58,401 SPREAD OUT ALL OVER COUNTRIES, 3446 02:05:58,401 --> 02:06:02,105 THEY HAVE LARGE CORE AND THEY DO 3447 02:06:02,105 --> 02:06:04,307 AUTOPSIES AND PERHAPS WE COULD 3448 02:06:04,307 --> 02:06:05,475 COLLABORATE WITH ADRCs AND 3449 02:06:05,475 --> 02:06:07,277 DIFFERENT PARTS OF THE COUNTRY 3450 02:06:07,277 --> 02:06:10,814 AND GET, YOU KNOW 3451 02:06:10,814 --> 02:06:11,414 STATE-OF-THE-ART FACIAL 3452 02:06:11,414 --> 02:06:12,415 CONNECTION AND PROCESSING AND 3453 02:06:12,415 --> 02:06:14,083 ALL THAT KIND OF -- 3454 02:06:14,083 --> 02:06:15,585 >> YEAH, WE PARTNERED WITH THEM 3455 02:06:15,585 --> 02:06:17,687 FOR A BRIEF MOMENT BEFORE THE 3456 02:06:17,687 --> 02:06:19,889 PANDEMIC WHEN WE STARTED TO DO 3457 02:06:19,889 --> 02:06:21,191 BRAIN IMAGING, AGAIN, TAKING 3458 02:06:21,191 --> 02:06:23,793 ADVANTAGE OF THE EXPERTISE THAT 3459 02:06:23,793 --> 02:06:24,961 WAS DISTRIBUTED ACROSS THE U.S. 3460 02:06:24,961 --> 02:06:29,132 AND TO SOME EXTENT I THINK THIS 3461 02:06:29,132 --> 02:06:29,899 WOULD BE EASIER. 3462 02:06:29,899 --> 02:06:32,001 YOU DON'T HAVE TO CONVINCE 3463 02:06:32,001 --> 02:06:34,337 SOMEONE TO COME IN FOR A WHOLE 3464 02:06:34,337 --> 02:06:37,574 DAY TO DO A BRAIN SCAN. 3465 02:06:37,574 --> 02:06:39,142 SO YES, I THINK THAT'S EXACTLY 3466 02:06:39,142 --> 02:06:41,377 THE WAY WE WOULD THINK ABOUT 3467 02:06:41,377 --> 02:06:44,347 GOING, IS PARTNERING WITH THE 3468 02:06:44,347 --> 02:06:46,349 ADRCS AND WHEN WE GET A BIT 3469 02:06:46,349 --> 02:06:47,817 FARTHER DOWN THIS PATH, IF YOU 3470 02:06:47,817 --> 02:06:53,590 DON'T MIND I MIGHT REACH OUT TO 3471 02:06:53,590 --> 02:06:55,191 YOU AND FIND OUT WHERE YOUR 3472 02:06:55,191 --> 02:06:58,394 THINKING IS WITH THIS AND I TALK 3473 02:06:58,394 --> 02:07:01,164 TO PEOPLE FROM WLS AND PAM HERD 3474 02:07:01,164 --> 02:07:04,501 ALL THE TIME SO WE WILL 3475 02:07:04,501 --> 02:07:06,236 DEFINITELY KEEP IN TOUCH. 3476 02:07:06,236 --> 02:07:09,105 AGAIN, THIS IS THE BENEFIT TO 3477 02:07:09,105 --> 02:07:10,206 HAVING THE BIOMARKER NETWORK 3478 02:07:10,206 --> 02:07:11,674 BECAUSE WE ALL TOWK TO EACH 3479 02:07:11,674 --> 02:07:13,409 RPGHT, WE SHARE EXPERTISE AND WE 3480 02:07:13,409 --> 02:07:15,979 GIVE EACH OTHER ADVISE ON THESE 3481 02:07:15,979 --> 02:07:17,947 PROTOCOLS, I'M ALWAYS KIND OF 3482 02:07:17,947 --> 02:07:20,350 JEALOUS OF WLS AND THE 3483 02:07:20,350 --> 02:07:20,984 MICROBIOCOLLECTION AND I THINK 3484 02:07:20,984 --> 02:07:23,119 IT WOULD BE HARDER ON A SCALE 3485 02:07:23,119 --> 02:07:25,688 WE'RE TALKING ABOUT BUT YEAH, 3486 02:07:25,688 --> 02:07:27,557 DEFINITELY A SEED THAT HAS BEEN 3487 02:07:27,557 --> 02:07:29,926 PLANTED IN OUR HEADS ABOUT THE 3488 02:07:29,926 --> 02:07:30,159 FUTURE. 3489 02:07:30,159 --> 02:07:32,829 >> VERY MUCH SO I WONDER IF AT 3490 02:07:32,829 --> 02:07:34,764 THE NIA LEVEL, PROGRAM LEVEL 3491 02:07:34,764 --> 02:07:36,466 THERE COULD BE DISCUSSION 3492 02:07:36,466 --> 02:07:38,034 BETWEEN BSR AND DIVISION OF 3493 02:07:38,034 --> 02:07:40,470 NEUROSCIENCE TO SEE HOW ADRCs 3494 02:07:40,470 --> 02:07:43,273 COULD BE BROUGHT IN TO COLLECT 3495 02:07:43,273 --> 02:07:44,707 THAT PROCESS, BRAIN TISSUE AND 3496 02:07:44,707 --> 02:07:45,909 ALSO BIOMARKER MEASURE WANTS 3497 02:07:45,909 --> 02:07:49,112 OTHERS MOST OF THE ADRCs ARE 3498 02:07:49,112 --> 02:07:49,913 SOPHISTICATED BIOMARKER LABS AND 3499 02:07:49,913 --> 02:07:52,382 THEY COULD MEASURE A LOT OF 3500 02:07:52,382 --> 02:07:55,218 BIOMARKERS AS WELL, INCLUDING 3501 02:07:55,218 --> 02:07:57,587 YOUR DRIED BLOOD SPOT, I SAW YOU 3502 02:07:57,587 --> 02:07:58,154 ARE CLICKING THOSE. 3503 02:07:58,154 --> 02:07:59,956 >> YEAH, SO WE HAVE BEEN DOING 3504 02:07:59,956 --> 02:08:03,526 PILOT WORK TO LOOK AT 1 OF THESE 3505 02:08:03,526 --> 02:08:05,929 NEW O DEGENERATIVE MARKERS OR 3506 02:08:05,929 --> 02:08:10,033 VIABLE BLOOD SPOTS WE CAN DO NFL 3507 02:08:10,033 --> 02:08:12,435 AND GFAC PRETTY WELL AND SOME 3508 02:08:12,435 --> 02:08:13,536 OTHER ARE ELUSIVE BUT WE'RE 3509 02:08:13,536 --> 02:08:15,772 WORKING ON THAT BUT FIRST THE 3510 02:08:15,772 --> 02:08:17,507 BLOOD SPOTS ARE THE FIRST DATA 3511 02:08:17,507 --> 02:08:18,107 COLLECTION AN INTERNATIONAL 3512 02:08:18,107 --> 02:08:19,142 STUDY WILL TRY BECAUSE THEY'RE 3513 02:08:19,142 --> 02:08:20,777 MUCH MORE STABLE FOR SHIPPING 3514 02:08:20,777 --> 02:08:22,078 AND SO THERE'S DEFINITELY STILL 3515 02:08:22,078 --> 02:08:25,348 AN INTEREST IN DEVELOPING ASSAYS 3516 02:08:25,348 --> 02:08:28,585 FROM DRY BLOOD SPOTS BUT YEAH, 3517 02:08:28,585 --> 02:08:29,986 YOUR POINT IS WELL TAKEN. 3518 02:08:29,986 --> 02:08:31,921 THE THING WE REALLY WANT IS 3519 02:08:31,921 --> 02:08:33,990 BRAIN TISSUE AND OBVIOUSLY WE 3520 02:08:33,990 --> 02:08:37,794 CAN'T TAKE THAT FROM 3521 02:08:37,794 --> 02:08:38,528 PARTICIPANTS. 3522 02:08:38,528 --> 02:08:40,330 >> YEAH, THANK YOU. 3523 02:08:40,330 --> 02:08:42,432 >> YEAH, GREAT, THANKS. 3524 02:08:42,432 --> 02:08:42,932 >> JOHN? 3525 02:08:42,932 --> 02:08:44,267 >> YEAH, JESSICA THANKS FOR 3526 02:08:44,267 --> 02:08:47,303 GREAT TALK AND AND GREAT Q & A 3527 02:08:47,303 --> 02:08:48,671 SESSION AND GREAT PROGRAM WORK 3528 02:08:48,671 --> 02:08:49,739 TALKING ABOUT OUR INTERNATIONAL 3529 02:08:49,739 --> 02:08:53,242 PROGRAM AS WELL AS SOME OF OUR 3530 02:08:53,242 --> 02:08:53,743 INTERNATIONAL STUDIES. 3531 02:08:53,743 --> 02:08:54,777 IN LIGHT OF SOME OF THE 3532 02:08:54,777 --> 02:08:55,979 QUESTIONS AND COMMENTS THAT COME 3533 02:08:55,979 --> 02:08:57,180 UP EARLIER IN THE MEETING AS 3534 02:08:57,180 --> 02:08:59,849 WELL AS SOME THAT COME DURING 3535 02:08:59,849 --> 02:09:02,986 THE Q&A, I WAS WONDERING IF YOU 3536 02:09:02,986 --> 02:09:04,253 CAN ELABORATE ON THE TYPE OF 3537 02:09:04,253 --> 02:09:04,921 RESEARCH YOU'RE DISCUSS NOTHING 3538 02:09:04,921 --> 02:09:09,726 A STUDY OF THE DESIGN OF THE 3539 02:09:09,726 --> 02:09:09,892 HRS? 3540 02:09:09,892 --> 02:09:12,528 WHY IS IT IMPORTANT TO DO THAT 3541 02:09:12,528 --> 02:09:17,166 WAY VERSUS OTHER WAYS? 3542 02:09:17,166 --> 02:09:19,335 >> I MEAN, THE THING THAT ALWAYS 3543 02:09:19,335 --> 02:09:21,337 COMES TO MIND REALLY IS THE 3544 02:09:21,337 --> 02:09:21,938 POPULATION REPRESENTATIVENESS. 3545 02:09:21,938 --> 02:09:23,039 YOU KNOW WE WORK REALLY HARD FOR 3546 02:09:23,039 --> 02:09:24,641 THAT AND I THINK THAT'S 3547 02:09:24,641 --> 02:09:27,510 IMPORTANT SO EVEN LIKE SANYAY 3548 02:09:27,510 --> 02:09:30,847 WAS TALKING ABOUT, THESE BLOOD 3549 02:09:30,847 --> 02:09:31,681 BASED BIOMARKERS OF 3550 02:09:31,681 --> 02:09:32,515 NEURODEGENERATION, A LOT OF 3551 02:09:32,515 --> 02:09:34,050 DEVELOPMENT WORK IS DONE IN 3552 02:09:34,050 --> 02:09:36,419 CLINICAL SASMYS, IS DONE IN 3553 02:09:36,419 --> 02:09:38,388 CASES WHERE THEY HAVE KNOWN 3554 02:09:38,388 --> 02:09:39,355 ALZHEIMER'S DISEASE OR WHAT HAVE 3555 02:09:39,355 --> 02:09:44,861 YOU, BUT PART OF THAT SEQUENCE 3556 02:09:44,861 --> 02:09:45,962 OF UNDERSTANDING, YOU KNOW, WHAT 3557 02:09:45,962 --> 02:09:47,697 DOES THIS TELL US IN THE REAL 3558 02:09:47,697 --> 02:09:49,632 WORLD IN YOU HAVE TO INSERT A 3559 02:09:49,632 --> 02:09:52,135 STUDY LIKE THE HRS TO SAY WHAT 3560 02:09:52,135 --> 02:09:55,071 DID THIS MEASURE LOOK LIKE IN A 3561 02:09:55,071 --> 02:09:55,605 REPRESENTATIVE POPULATION? 3562 02:09:55,605 --> 02:09:57,607 WHAT DOES IT LOOK LIKE IN 3563 02:09:57,607 --> 02:09:59,208 DIFFERENT DEMOGRAPHIC OR SES 3564 02:09:59,208 --> 02:10:00,343 SUBGROUPS IN HOW IS IT RELATED 3565 02:10:00,343 --> 02:10:02,145 TO OTHER THINGS WE KNOW ABOUT 3566 02:10:02,145 --> 02:10:05,314 WHERE PEOPLE LIVE, THE 3567 02:10:05,314 --> 02:10:07,150 GEOGRAPHIC DISPERSION OF WHERE 3568 02:10:07,150 --> 02:10:08,217 PEOPLE LIVE? 3569 02:10:08,217 --> 02:10:08,918 SOMETIMES THESE BIOMARKERS DON'T 3570 02:10:08,918 --> 02:10:10,687 LOOK THE SAME AND HAVE THE SAME 3571 02:10:10,687 --> 02:10:11,821 RELATIONSHIPS SO WE'RE PART OF 3572 02:10:11,821 --> 02:10:14,257 WHAT I THINK OF AS THE DISCOVERY 3573 02:10:14,257 --> 02:10:16,826 PIPELINE, SO YOU KNOW WE NEVER 3574 02:10:16,826 --> 02:10:19,395 -- WE DON'T USUALLY ADOPT A 3575 02:10:19,395 --> 02:10:20,930 BIOMARKER UNTIL IT'S PRETTY WELL 3576 02:10:20,930 --> 02:10:22,365 VALIDATED, IT'S WELL MEASURED, 3577 02:10:22,365 --> 02:10:24,167 IT'S RELIABLE, AND WE SEE 3578 02:10:24,167 --> 02:10:27,170 OURSELVES AS REALLY PROVIDING 3579 02:10:27,170 --> 02:10:31,641 THAT IMPORTANT BRIDGE BETWEEN 3580 02:10:31,641 --> 02:10:33,476 KIND OF CLINICAL SAMPLE BASE 3581 02:10:33,476 --> 02:10:34,577 DISCOVERY WORK AND ACTUALLY 3582 02:10:34,577 --> 02:10:36,179 APPLICATION TO THE POPULATION. 3583 02:10:36,179 --> 02:10:37,980 SO IF YOU DON'T HAVE THAT, YOU 3584 02:10:37,980 --> 02:10:39,415 ARE OFTEN GOING IN A LITTLE 3585 02:10:39,415 --> 02:10:42,018 BLIND AND YOU'RE MAKING 3586 02:10:42,018 --> 02:10:43,753 DECISIONS ABOUT CUT POINTS AND 3587 02:10:43,753 --> 02:10:44,687 RELATIONSHIPS THAT MAY NOT PAN 3588 02:10:44,687 --> 02:10:49,392 OUT WHEN YOU GOET TO -- GET TO 3589 02:10:49,392 --> 02:10:50,159 THE REAL WORLD. 3590 02:10:50,159 --> 02:10:52,128 SO WHEN YOU THINK ABOUT APPLYING 3591 02:10:52,128 --> 02:10:54,864 ASSAYS AS SCREENING TASKS ON 3592 02:10:54,864 --> 02:10:56,632 PEOPLE, OR YOU KNOW JUST THE 3593 02:10:56,632 --> 02:10:59,001 RELATIONSHIP BETWEEN YOU KNOW WE 3594 02:10:59,001 --> 02:11:02,939 WILL TAKE APOE AS AN EXAMPLE OF 3595 02:11:02,939 --> 02:11:04,674 BIOMARKER OF RISK FOR 3596 02:11:04,674 --> 02:11:06,409 ALZHEIMER'S DISEASE, THAT LOOKS 3597 02:11:06,409 --> 02:11:09,011 DIFFERENT IN DIFFERENT 3598 02:11:09,011 --> 02:11:10,046 POPULATIONS, AND YOU KNOW, IF 3599 02:11:10,046 --> 02:11:12,148 YOU DON'T HAVE A STUDY LIKE HRS, 3600 02:11:12,148 --> 02:11:13,950 YOU MIGHT NOT KNOW, SO YOU MIGHT 3601 02:11:13,950 --> 02:11:16,619 NOT KNOW THAT TYPE OF THING. 3602 02:11:16,619 --> 02:11:17,954 BECAUSE AGAIN, YOU KNOW EVERYONE 3603 02:11:17,954 --> 02:11:19,222 ALWAYS THINKS THAT WHEN I COME 3604 02:11:19,222 --> 02:11:21,190 GIVE A TALK, I WILL TALK ABOUT 3605 02:11:21,190 --> 02:11:23,559 HOW BIOLOGY IS THE GREATEST 3606 02:11:23,559 --> 02:11:24,727 THING SINCE SLICED BREAD, AND I 3607 02:11:24,727 --> 02:11:26,262 THINK IT IS, IT'S REALLY 3608 02:11:26,262 --> 02:11:26,596 INTERESTING. 3609 02:11:26,596 --> 02:11:27,997 BUT THE THING I ALWAYS COME BACK 3610 02:11:27,997 --> 02:11:30,266 TO IS THE SOCIAL AND BEHAVIORIAL 3611 02:11:30,266 --> 02:11:31,501 AND CONTEXTURAL WORLD MATTERS, 3612 02:11:31,501 --> 02:11:33,636 IT MATTERS FOR GENETICS, WHETHER 3613 02:11:33,636 --> 02:11:35,938 WE SEE A POLYGENIC RISK STORE 3614 02:11:35,938 --> 02:11:39,175 PREDICT IN A CERTAIN POPULATION, 3615 02:11:39,175 --> 02:11:41,144 IT MATTERS A LOT WHERE THAT 3616 02:11:41,144 --> 02:11:42,678 POPULATION IS, WHAT THEIR SOCIAL 3617 02:11:42,678 --> 02:11:43,613 FACTORS ARE, YOU KNOW WHETHER 3618 02:11:43,613 --> 02:11:45,782 YOU CAN SEE THAT GENETIC 3619 02:11:45,782 --> 02:11:46,916 RELATIONSHIP WITH AN OUTCOME. 3620 02:11:46,916 --> 02:11:50,353 SO YOU KNOW OFTEN TIMES, THE END 3621 02:11:50,353 --> 02:11:52,889 OF MY SLIDES IS ALWAYS THE 3622 02:11:52,889 --> 02:11:54,390 SOCIAL FACTORS MATTER, THEY 3623 02:11:54,390 --> 02:11:55,191 MATTER A LOT. 3624 02:11:55,191 --> 02:11:58,027 WE HAVE NOT GOTTEN TO A PLACE 3625 02:11:58,027 --> 02:11:59,729 WHERE BIOLOGY EXPLAINS 3626 02:11:59,729 --> 02:12:01,831 EVERYTHING. 3627 02:12:01,831 --> 02:12:05,701 SO THE BREDTH AND -- I WILL SAY 3628 02:12:05,701 --> 02:12:07,236 BREDTH AND LONGITUDINAL NATURE 3629 02:12:07,236 --> 02:12:09,438 OF THE HRS DATA REALLY GIVE US 3630 02:12:09,438 --> 02:12:11,073 SO MUCH INFORMATION AGAIN ON 3631 02:12:11,073 --> 02:12:14,010 THAT SOCIAL BEHAVIORIAL CONTEXT 3632 02:12:14,010 --> 02:12:15,845 AND THAT YOU CAN'T REPLACE. 3633 02:12:15,845 --> 02:12:17,213 IT'S MUCH EASIER TO ADD BIOLOGY 3634 02:12:17,213 --> 02:12:20,183 TO A STUDY LIKE THAT THAN IT IS 3635 02:12:20,183 --> 02:12:22,218 TO ADD 20, 30 YEARS OF SOCIAL 3636 02:12:22,218 --> 02:12:26,522 AND BEHAVIORIAL DATA TO A 3637 02:12:26,522 --> 02:12:28,758 BIOLOGICAL STUDY. 3638 02:12:28,758 --> 02:12:29,058 >> GREAT. 3639 02:12:29,058 --> 02:12:29,325 ALL RIGHT. 3640 02:12:29,325 --> 02:12:31,961 THANK YOU SO MUCH JESSICA. 3641 02:12:31,961 --> 02:12:35,865 >> YOU'RE VERY WELCOME. 3642 02:12:35,865 --> 02:12:37,500 >> REALLY FANTASTIC AND THANK 3643 02:12:37,500 --> 02:12:39,001 YOU FOR ANSWERING ALL OF OUR 3644 02:12:39,001 --> 02:12:41,404 QUESTIONS TODAY, I'M SURE WE ALL 3645 02:12:41,404 --> 02:12:43,039 PROBABLY HAVE ANOTHER HALF DOZEN 3646 02:12:43,039 --> 02:12:43,339 IN THE CUE. 3647 02:12:43,339 --> 02:12:45,441 >> BUT YOU HAVE OTHER THINGS ON 3648 02:12:45,441 --> 02:12:46,342 YOUR AGENDA. 3649 02:12:46,342 --> 02:12:46,976 >> EXACTLY. 3650 02:12:46,976 --> 02:12:47,844 SO WE GREATLY APPRECIATE YOU 3651 02:12:47,844 --> 02:12:50,880 TAKING YOUR TIME OUT AND GIVING 3652 02:12:50,880 --> 02:12:53,416 THIS TALK FOR US TODAY. 3653 02:12:53,416 --> 02:12:55,751 >> VERY MUCH MY PLEASURE. 3654 02:12:55,751 --> 02:12:58,487 THANKS EVERYONE. 3655 02:12:58,487 --> 02:12:58,955 BYE. 3656 02:12:58,955 --> 02:12:59,589 >> THANK YOU. 3657 02:12:59,589 --> 02:13:01,424 SO AT THIS POINT, I KNOW 3658 02:13:01,424 --> 02:13:04,260 EVERYBODY'S PROBABLY DYING FOR A 3659 02:13:04,260 --> 02:13:04,594 BREAK. 3660 02:13:04,594 --> 02:13:08,164 SO WE'RE GOING TO TAKE A 15 3661 02:13:08,164 --> 02:13:11,133 MINUTE BREAK, IT IS 12:15 OUR 3662 02:13:11,133 --> 02:13:12,902 TIME, WE WILL GO TO 12:30 AND 3663 02:13:12,902 --> 02:13:17,840 THEN WE WILL HAVE OUR FINAL 3664 02:13:17,840 --> 02:13:20,076 SPEAKER WHICH IS SEAN MOONEY 3665 02:13:20,076 --> 02:13:23,412 FROM THE NIH, SO LET'S BE BACK, 3666 02:13:23,412 --> 02:13:26,782 YOU CAN JUST AGAIN SIGN OFF FOR 3667 02:13:26,782 --> 02:13:29,552 NOW AND JUST YOU KNOW SHUT YOUR 3668 02:13:29,552 --> 02:13:31,487 CAMERAS AND SPEAKERS OFF AND WE 3669 02:13:31,487 --> 02:13:37,293 WILL JOIN AGAIN IN 15 MINUTES. 3670 02:13:37,293 --> 02:13:41,648 THANK YOU. 3671 02:13:41,648 --> 02:13:44,651 >> WELCOME, BACK, EVERYONE I 3672 02:13:44,651 --> 02:13:45,785 WILL TURN THIS OVER. 3673 02:13:45,785 --> 02:13:47,954 >> IT'S OUR GREAT PLEASURE TO 3674 02:13:47,954 --> 02:13:49,489 INTRODUCE OUR NEXT SPEAKER SEAN 3675 02:13:49,489 --> 02:13:52,659 MOONY WHO JOINED NIH LAST YEAR 3676 02:13:52,659 --> 02:13:54,160 IN THE CENTER OF TECHNOLOGY. 3677 02:13:54,160 --> 02:13:57,597 SEAN CAME FROM THE UNIVERSITY OF 3678 02:13:57,597 --> 02:13:58,531 WASHINGTON. WHERE HE HAD A 3679 02:13:58,531 --> 02:14:02,068 SIMILAR LEADERSHIP ROLE IN THE 3680 02:14:02,068 --> 02:14:02,869 INFORMATION TECHNOLOGY. AND 3681 02:14:02,869 --> 02:14:05,171 AMONG HIS RESPONSIBILITIES WERE 3682 02:14:05,171 --> 02:14:08,107 THOSE THAT INVOLVED THE NATIONAL 3683 02:14:08,107 --> 02:14:09,876 ALZHEIMER'S COORDINATING CENTER 3684 02:14:09,876 --> 02:14:12,345 SO HE'S BEEN A PART OF THAT 3685 02:14:12,345 --> 02:14:14,047 ASPECT BEFORE THAT HE WAS IN 3686 02:14:14,047 --> 02:14:15,014 ANOTHER LEADERSHIP ROLE FOR 3687 02:14:15,014 --> 02:14:17,583 RESEARCH ON AGING. NOW ALL THIS 3688 02:14:17,583 --> 02:14:18,418 FOLLOWING HIS UNDERGRADUATE 3689 02:14:18,418 --> 02:14:22,255 DEGREES THERE MOLECULAR BIOLOGY 3690 02:14:22,255 --> 02:14:24,123 AND BIOCHEMISTRY AND IN 3691 02:14:24,123 --> 02:14:24,924 PHARMACEUTICAL CHEMISTRY AS WELL 3692 02:14:24,924 --> 02:14:27,460 SO HE HAS A LONG HISTORY AS A 3693 02:14:27,460 --> 02:14:30,897 LEADER IN FIELDS OF INFORMATION 3694 02:14:30,897 --> 02:14:32,198 TECHNOLOGY AND INNOVATION AS 3695 02:14:32,198 --> 02:14:33,433 WELL AS SOME VERY IMPORTANT 3696 02:14:33,433 --> 02:14:35,068 CONTACTS I THINK WITH SOME OF 3697 02:14:35,068 --> 02:14:38,104 THE SUBSTANTIVE RESEARCH AREAS 3698 02:14:38,104 --> 02:14:40,573 THAT NIA HAS FOCUSED UPON. NOW 3699 02:14:40,573 --> 02:14:45,044 AT NIA, OR NIH RATHER HE HAS THE 3700 02:14:45,044 --> 02:14:47,146 RESPONSIBILITY OVER A HUGE AND 3701 02:14:47,146 --> 02:14:48,748 DYNAMIC AREA OF RESEARCH LOOKING 3702 02:14:48,748 --> 02:14:52,051 AT THE WAY IN WHICH DATA 3703 02:14:52,051 --> 02:14:52,652 COMPUTATION INTERACTION AND 3704 02:14:52,652 --> 02:14:54,988 ANALYSIS CAN BE USED TO SUPPORT 3705 02:14:54,988 --> 02:14:58,491 THE WHOLE BIOLOGICAL BIOMEDICAL 3706 02:14:58,491 --> 02:15:00,827 ENTERPRISE, SEAN IT'S A GREAT 3707 02:15:00,827 --> 02:15:03,062 PLEASURE AND HONOR TO HEAR FROM 3708 02:15:03,062 --> 02:15:08,334 YOU ABOUT YOUR VIEWS ON ENABLING 3709 02:15:08,334 --> 02:15:10,503 ACCESS AND TECHNOLOGIES. 3710 02:15:10,503 --> 02:15:11,304 >> THANK YOU SO MUCH FOR THE 3711 02:15:11,304 --> 02:15:12,472 KIND WORDS AND INTRODUCTION, 3712 02:15:12,472 --> 02:15:14,774 THIS IS A HUGE HONOR, I'VE BEEN 3713 02:15:14,774 --> 02:15:19,045 AS YOU MENTIONED, AN NIA FUNDED 3714 02:15:19,045 --> 02:15:22,015 RESEARCH WHEN I WAS IN THE 3715 02:15:22,015 --> 02:15:23,282 EXTRAMURAL WORLD FOR 20 PLUS 3716 02:15:23,282 --> 02:15:25,418 YEARS. IT DOESN'T FEEL LIKE 3717 02:15:25,418 --> 02:15:27,653 IT'S BEEN THAT LONG BUT I 3718 02:15:27,653 --> 02:15:29,288 STARTED AS AN ASSISTANT 3719 02:15:29,288 --> 02:15:31,057 PROFESSOR AT INDIANA UNIVERSITY 3720 02:15:31,057 --> 02:15:33,893 AND WORKED FOR CLOSELY WITH 3721 02:15:33,893 --> 02:15:35,294 TATIANA'S GROUP WHO WAS FUNDED 3722 02:15:35,294 --> 02:15:38,865 BY THE NIA FOR THE NATIONAL CELL 3723 02:15:38,865 --> 02:15:39,899 REPOSITORY FOR ALZHEIMER'S 3724 02:15:39,899 --> 02:15:45,538 DISEASE AND THEN WAS AT THE BUCK 3725 02:15:45,538 --> 02:15:46,606 INSTITUTE WORKING ON CLINICAL 3726 02:15:46,606 --> 02:15:48,474 RESEARCH PROJECTS. AND THEN AT 3727 02:15:48,474 --> 02:15:50,977 THE UNIVERSITY OF WASHINGTON 3728 02:15:50,977 --> 02:15:52,111 WORKING WITH NAC AND SO IT'S 3729 02:15:52,111 --> 02:15:54,414 VERY MUCH A PLEASURE TO BE HERE. 3730 02:15:54,414 --> 02:15:55,748 I STILL ACTUALLY HAVE A RESEARCH 3731 02:15:55,748 --> 02:15:57,316 LAB BUT I'M NOT GOING TO TALK 3732 02:15:57,316 --> 02:15:59,318 TOO MUCH ABOUT MY RESEARCH. I'M 3733 02:15:59,318 --> 02:16:00,319 GOING TO TALK TODAY ABOUT 3734 02:16:00,319 --> 02:16:03,056 COMPUTING HOW THE NIH DOES 3735 02:16:03,056 --> 02:16:05,258 COMPUTING, HOW NIH SEES THE 3736 02:16:05,258 --> 02:16:06,859 FUTURE OF COMPUTING AND WHAT THE 3737 02:16:06,859 --> 02:16:07,727 CHALLENGES ARE IN TERMS OF WHAT 3738 02:16:07,727 --> 02:16:11,064 WE'RE DOING SO I WILL KIND OF 3739 02:16:11,064 --> 02:16:14,333 START WITH THE BROAD PICTURE AND 3740 02:16:14,333 --> 02:16:15,501 START ABOUT THE DATA 3741 02:16:15,501 --> 02:16:16,869 INFRASTRUCTURE IN THE CLOUD AND 3742 02:16:16,869 --> 02:16:17,904 I WILL HOPEFULLY, YOU KNOW, TALK 3743 02:16:17,904 --> 02:16:20,840 A LITTLE BIT ABOUT AI AND THE 3744 02:16:20,840 --> 02:16:23,543 USE OF AI AND YOU KNOW HOW WE'RE 3745 02:16:23,543 --> 02:16:25,078 LEVERAGING THESE ADVANCED 3746 02:16:25,078 --> 02:16:28,147 EMERGING TECHNOLOGIES TO SOLVE 3747 02:16:28,147 --> 02:16:30,083 PROBLEMS THAT WE HAVE BOTH 3748 02:16:30,083 --> 02:16:31,884 INTERNALLY AND THE EXTRAMURAL, 3749 02:16:31,884 --> 02:16:33,186 THE SCIENTIFIC WORLD AND I WILL 3750 02:16:33,186 --> 02:16:35,288 BRING UP THE CONCEPT OF 3751 02:16:35,288 --> 02:16:37,557 BIOMEDICAL CYBER STRUCTURE, 3752 02:16:37,557 --> 02:16:39,859 THESE MODULAR TOOLS THAT CAN BE 3753 02:16:39,859 --> 02:16:42,695 USED AND BROUGHT TOGETHER TO 3754 02:16:42,695 --> 02:16:44,097 HELP SUPPORT THE DIGITAL 3755 02:16:44,097 --> 02:16:45,798 ECOSYSTEM OF ALL OF THE WORK 3756 02:16:45,798 --> 02:16:52,038 THAT THE NIH IS DOING, YOU KNOW, 3757 02:16:52,038 --> 02:16:53,973 WE ARE, START WITH PEOPLE, FROM 3758 02:16:53,973 --> 02:16:56,843 THE GROUND UP. AT THE NIH WE 3759 02:16:56,843 --> 02:16:58,611 HAVE PROBABLY AROUND 6,000, YOU 3760 02:16:58,611 --> 02:17:01,114 KNOW, INTERNALLY WITHIN THE NIH 3761 02:17:01,114 --> 02:17:04,016 AROUND, I WOULD SAY AROUND 6,000 3762 02:17:04,016 --> 02:17:09,489 FTE THAT SUPPORT IT IN SOME WAY. 3763 02:17:09,489 --> 02:17:10,890 AND WITHIN THAT, ABOUT I WOULD 3764 02:17:10,890 --> 02:17:14,861 SAY 12-1300 OF THAT 6,000 FTE 3765 02:17:14,861 --> 02:17:16,395 ARE WITHIN THE CENTER FOR 3766 02:17:16,395 --> 02:17:17,029 INFORMATION TECHNOLOGY AND THE 3767 02:17:17,029 --> 02:17:19,365 OFFICE OF THE CIOILY TALK MORE 3768 02:17:19,365 --> 02:17:22,468 ABOUT BOTH OF THOSE IN A SECOND. 3769 02:17:22,468 --> 02:17:24,670 AND CIT OR THE CENTER FOR 3770 02:17:24,670 --> 02:17:26,506 INFORMATION TECHNOLOGY IS REALLY 3771 02:17:26,506 --> 02:17:28,307 THE OPERATIONAL ARM OF 3772 02:17:28,307 --> 02:17:31,310 ENTERPRISE IT. WE SUPPORT 3773 02:17:31,310 --> 02:17:33,312 EVERYWHERE FROM THE NIH NETWORK 3774 02:17:33,312 --> 02:17:37,116 ALL THE WAY THROUGH TO OUR CLOUD 3775 02:17:37,116 --> 02:17:38,985 PROGRAM. WE DABBLE IN THE 3776 02:17:38,985 --> 02:17:40,353 EXTRAMURAL WORLD FOR A NUMBER OF 3777 02:17:40,353 --> 02:17:42,955 THINGS LIKE, AGAIN, ACCESS TO 3778 02:17:42,955 --> 02:17:45,391 THE CLOUD THROUGH STRIDES BUT 3779 02:17:45,391 --> 02:17:47,293 ALSO LIKE YOUR COMMENTS ID IS 3780 02:17:47,293 --> 02:17:51,063 SOMETHING THAT WE MANAGE AS 3781 02:17:51,063 --> 02:17:53,332 WELL. AND ABOVE THAT SO WE 3782 02:17:53,332 --> 02:17:55,935 START WITH PEOPLE, WE SUPPORT 3783 02:17:55,935 --> 02:17:57,403 THE, THAT ENTERPRISE 3784 02:17:57,403 --> 02:17:58,738 INFRASTRUCTURE AND 3785 02:17:58,738 --> 02:18:00,239 CYBERSECURITY, THE CLOUD, BUT 3786 02:18:00,239 --> 02:18:02,074 THEN WE ALSO ARE HELPING SUPPORT 3787 02:18:02,074 --> 02:18:04,710 DATA PLATFORMS AND ANALYTICS AND 3788 02:18:04,710 --> 02:18:06,045 THEN IN THE FUTURE OF HOW WE 3789 02:18:06,045 --> 02:18:08,748 LEVERAGE AI AND BIOMEDICAL 3790 02:18:08,748 --> 02:18:10,449 RESEARCH TO, YOU KNOW, ENABLE 3791 02:18:10,449 --> 02:18:13,286 ALL OF THE THINGS THAT THE NIH 3792 02:18:13,286 --> 02:18:18,257 DOES AND WANTS TO DO. WE ARE AS 3793 02:18:18,257 --> 02:18:19,892 I MENTIONED THE CENTER FOR 3794 02:18:19,892 --> 02:18:20,860 INFORMATION TECHNOLOGY AND THE 3795 02:18:20,860 --> 02:18:22,261 OFFICE OF THE CHIEF INFORMATION 3796 02:18:22,261 --> 02:18:24,931 OFFICER ARE TWO DIFFERENT 3797 02:18:24,931 --> 02:18:26,566 GROUPS. THE OFFICE OF THE CIO 3798 02:18:26,566 --> 02:18:30,870 OR OCIO SITS IN THE OFFICE OF 3799 02:18:30,870 --> 02:18:33,206 THE NIH DIRECTOR. AND CIT IS 3800 02:18:33,206 --> 02:18:35,741 ONE OF THE 27 INSTITUTES AND 3801 02:18:35,741 --> 02:18:38,477 CENTERS OF THE NIH THAT I 3802 02:18:38,477 --> 02:18:40,780 MENTIONED. OVER THE PAST YEAR, 3803 02:18:40,780 --> 02:18:43,049 WE'VE, SINCE I'VE BEEN HERE 14 3804 02:18:43,049 --> 02:18:44,817 MONTHS WE'VE BEEN BUILDING A 3805 02:18:44,817 --> 02:18:46,652 VERY, VERY STRONG LEADERSHIP 3806 02:18:46,652 --> 02:18:48,554 TEAM TO SUPPORT IT TODAY AND 3807 02:18:48,554 --> 02:18:49,822 INTO THE FUTURE. THE OFFICE OF 3808 02:18:49,822 --> 02:18:53,659 THE CIO FOCUSES ON IT STRATEGY, 3809 02:18:53,659 --> 02:18:55,962 OUR ARCHITECTURE, GOVERNANCE FOR 3810 02:18:55,962 --> 02:18:59,065 IT INVESTMENTS AS WELL AS OUR 3811 02:18:59,065 --> 02:19:00,333 INFORMATION SECURITY PROGRAM AND 3812 02:19:00,333 --> 02:19:01,133 THE CHIEF INFORMATION SECURITY 3813 02:19:01,133 --> 02:19:04,637 OFFICER OF THE NIH. AND THEN 3814 02:19:04,637 --> 02:19:08,074 ADELE MERIT WAS RECRUITED IN 3815 02:19:08,074 --> 02:19:09,875 DECEMBER SHE HAS BEEN AMAZING, 3816 02:19:09,875 --> 02:19:11,310 SHE HAS BOTH A RESEARCH 3817 02:19:11,310 --> 02:19:14,313 BACKGROUND BUT ALSO A FEDERAL 3818 02:19:14,313 --> 02:19:14,780 CIO BACKGROUND. 3819 02:19:14,780 --> 02:19:16,949 AND HAS REALLY HIT THE GROUND 3820 02:19:16,949 --> 02:19:20,086 RUNNING AND IS DOING A GREAT JOB 3821 02:19:20,086 --> 02:19:24,223 OF WRANGLING, YOU KNOW, NIH IT 3822 02:19:24,223 --> 02:19:27,760 IN CIT, WE'RE AGAIN, THE 3823 02:19:27,760 --> 02:19:28,628 OPERATIONAL ARM OF TECHNOLOGY AT 3824 02:19:28,628 --> 02:19:34,233 THE NIH. WE MANAGE, YOU KNOW, 3825 02:19:34,233 --> 02:19:36,569 IDENTITIES LIKE, AGAIN, YOUR ID, 3826 02:19:36,569 --> 02:19:38,604 OUR IDENTITY THROUGH THE PIV 3827 02:19:38,604 --> 02:19:42,742 CARDS THAT THE NIH CARDS USE TO 3828 02:19:42,742 --> 02:19:46,912 LOGIN, WE SUPPORT A NUMBER OF 3829 02:19:46,912 --> 02:19:48,047 APPLICATION SYSTEMS, BOTH 3830 02:19:48,047 --> 02:19:49,515 SCIENTIFIC AND BUSINESS SYSTEMS 3831 02:19:49,515 --> 02:19:52,818 WE SUPPORT THE E-MAIL, THE TEAMS 3832 02:19:52,818 --> 02:19:54,053 MEETING AND THE LICENSE FOR 3833 02:19:54,053 --> 02:19:58,824 TEAMS AND BASICALLY ALL OF THE 3834 02:19:58,824 --> 02:19:59,925 KIND OF ENTERPRISE IT THINGS 3835 02:19:59,925 --> 02:20:03,062 THAT THE NIH DOES AND ALSO 3836 02:20:03,062 --> 02:20:05,097 TOUCHING EXTRAMURAL IN A NUMBER 3837 02:20:05,097 --> 02:20:07,033 OF DIFFERENT WAYS, I WAS ASKED 3838 02:20:07,033 --> 02:20:09,568 BY THE NIH DIRECTOR ABOUT, I 3839 02:20:09,568 --> 02:20:12,038 DON'T KNOW, SEVEN OR EIGHT 3840 02:20:12,038 --> 02:20:14,807 MONTHS AGO TO TAKE ON A NEW ROLE 3841 02:20:14,807 --> 02:20:16,809 OF ASSOCIATE DIRECTOR OF IT 3842 02:20:16,809 --> 02:20:18,344 CYBER INFRASTRUCTURE AND 3843 02:20:18,344 --> 02:20:19,045 CYBERSECURITY. IN ADDITION TO 3844 02:20:19,045 --> 02:20:23,082 MY ROLE AS DIRECTOR OF THE 3845 02:20:23,082 --> 02:20:23,582 CENTER FOR INFORMATION 3846 02:20:23,582 --> 02:20:24,317 TECHNOLOGY. THOSE TWO DUAL 3847 02:20:24,317 --> 02:20:28,154 ROLES ENABLE ME TO OVERSEE BOTH 3848 02:20:28,154 --> 02:20:30,389 OCOI AND CIT IN A COORDINATED 3849 02:20:30,389 --> 02:20:32,992 WAY AS WE MOVE FORWARD AND OF 3850 02:20:32,992 --> 02:20:35,061 COURSE I REPORT TO THE NIH 3851 02:20:35,061 --> 02:20:37,396 DIRECTOR. I LIKE TO USE THE 3852 02:20:37,396 --> 02:20:38,898 TERM CYBER INFRASTRUCTURE A LOT. 3853 02:20:38,898 --> 02:20:41,100 THIS TERM CAME FROM THE NATIONAL 3854 02:20:41,100 --> 02:20:41,701 SCIENCE FOUNDATION IT'S BEEN 3855 02:20:41,701 --> 02:20:43,135 AROUND FOR A LONG TIME IT KIND 3856 02:20:43,135 --> 02:20:45,871 OF THINKS ABOUT, WE THINK ABOUT 3857 02:20:45,871 --> 02:20:47,039 ALL THOSE TECHNOLOGIES THAT HELP 3858 02:20:47,039 --> 02:20:49,075 SUPPORT ALL THE THINGS THAT WE 3859 02:20:49,075 --> 02:20:50,276 DO TO SUPPORT RESEARCH. 3860 02:20:50,276 --> 02:20:52,211 EVERYWHERE FROM DATA ASSETS TO, 3861 02:20:52,211 --> 02:20:55,047 YOU KNOW, AI, TO THE COMPUTING 3862 02:20:55,047 --> 02:20:56,282 WITHIN DATA CENTERS, THE 3863 02:20:56,282 --> 02:20:58,451 NETWORKS THAT CONNECT THINGS 3864 02:20:58,451 --> 02:20:59,919 TOGETHER. THE STANDARDS THAT 3865 02:20:59,919 --> 02:21:02,555 ARE USED TO ENABLE NETWORKS TO 3866 02:21:02,555 --> 02:21:06,459 COMMUNICATE OR ENABLE DATA TO BE 3867 02:21:06,459 --> 02:21:08,160 INTEROPERABLE AND THERE ARE A 3868 02:21:08,160 --> 02:21:08,894 NUMBER OF INDIVIDUALS AND TEAMS 3869 02:21:08,894 --> 02:21:12,798 WITHIN THE NIH THAT SUPPORT THIS 3870 02:21:12,798 --> 02:21:14,166 SO-CALLED CYBER INFRASTRUCTURE. 3871 02:21:14,166 --> 02:21:16,702 KEY IN THEM IS CIT WHICH I 3872 02:21:16,702 --> 02:21:19,071 MENTIONED AND THE OFFICE OF THE 3873 02:21:19,071 --> 02:21:23,242 CIO WHICH I ALSO JUST DISCUSSED 3874 02:21:23,242 --> 02:21:23,876 THE NATIONAL LIBRARY OF MEDICINE 3875 02:21:23,876 --> 02:21:26,112 AND THE OFFICE OF DATA SCIENCE 3876 02:21:26,112 --> 02:21:29,115 STRATEGY WITHIN THE OFFICE OF 3877 02:21:29,115 --> 02:21:30,883 THE DIRECTOR AS WELL AS ALL THE 3878 02:21:30,883 --> 02:21:32,485 TEAMS WITHIN THE 27 INSTITUTES 3879 02:21:32,485 --> 02:21:33,886 AND CENTERS THAT SUPPORT 3880 02:21:33,886 --> 02:21:35,321 TECHNOLOGY, BOTH IN A MISSION 3881 02:21:35,321 --> 02:21:37,656 DRIVEN WAY AND WITH ENTERPRISE 3882 02:21:37,656 --> 02:21:41,360 TOOLS THAT CAN BE USED OR REUSED 3883 02:21:41,360 --> 02:21:42,728 TO SUPPORT WHATEVER COMPUTING 3884 02:21:42,728 --> 02:21:46,632 NEEDS THAT THE NIH HAS I'D LOVE 3885 02:21:46,632 --> 02:21:49,034 TO SHARE A COUPLE SUCCESS 3886 02:21:49,034 --> 02:21:50,803 STORIES BEFORE I DIVE IN TO 3887 02:21:50,803 --> 02:21:52,171 TALKING MORE ABOUT YOU KNOW OUR 3888 02:21:52,171 --> 02:21:57,410 DATA PLATFORMS AND THINGS LIKE 3889 02:21:57,410 --> 02:21:58,043 THAT. WE'VE HAD SIGNIFICANT 3890 02:21:58,043 --> 02:22:02,281 SUCCESS IN IT. I THINK 3891 02:22:02,281 --> 02:22:04,083 PERSONALLY THE STRONGEST IT 3892 02:22:04,083 --> 02:22:07,052 PROGRAM WITHIN THE OPERATING 3893 02:22:07,052 --> 02:22:09,054 DIVISIONS OF HHS. WE'VE BUILT A 3894 02:22:09,054 --> 02:22:11,824 NETWORK THAT SUPPORTS THE NIH. 3895 02:22:11,824 --> 02:22:15,761 WE HAVE 45,000 STAFF AND 700,000 3896 02:22:15,761 --> 02:22:18,697 VISITORS ACROSS 200 NIH 3897 02:22:18,697 --> 02:22:20,833 BUILDINGS ACROSS NINE GEOGRAPHIC 3898 02:22:20,833 --> 02:22:22,368 LOCATIONS THAT ARE CONNECTED 3899 02:22:22,368 --> 02:22:25,438 WITH MORE THAN 4,300 MILES OF 3900 02:22:25,438 --> 02:22:26,639 NETWORK CABLING OF PHYSICAL 3901 02:22:26,639 --> 02:22:30,743 NETWORK CABLING AMONGST THEM. 3902 02:22:30,743 --> 02:22:33,012 WE'VE, WE HAVE OUR ENTERPRISE 3903 02:22:33,012 --> 02:22:34,146 NIH COLLABORATION TOOLS THINGS 3904 02:22:34,146 --> 02:22:37,917 LIKE OUR E-MAIL SYSTEM AND OUR 3905 02:22:37,917 --> 02:22:39,585 MICROSOFT ONEDRIVE OR TEAMS AND 3906 02:22:39,585 --> 02:22:42,254 WE HOST MORE THAN 2.5 MILLION 3907 02:22:42,254 --> 02:22:44,089 VIRTUAL MEETINGS, HAVE, YOU 3908 02:22:44,089 --> 02:22:45,324 KNOW, SENT AND RECEIVED MORE 3909 02:22:45,324 --> 02:22:47,860 THAN A BILLION E-MAILS AND HAVE 3910 02:22:47,860 --> 02:22:50,162 MORE THAN A MILLION GIGABYTES IN 3911 02:22:50,162 --> 02:22:51,964 SHAREPOINT AND ONEDRIVE AT THIS 3912 02:22:51,964 --> 02:22:53,432 POINT AND WE SUPPORT SCIENTIFIC 3913 02:22:53,432 --> 02:22:57,269 COMPUTING WITH ONE OF THE 3914 02:22:57,269 --> 02:22:59,038 LARGEST HIGH PERFORMANCE 3915 02:22:59,038 --> 02:23:00,439 COMPUTERS THAT IS FOCUSED ONLY 3916 02:23:00,439 --> 02:23:03,042 ON BIOMEDICAL RESEARCH. HAS 3917 02:23:03,042 --> 02:23:05,044 MORE THAN ONE HUNDRED THOUSAND 3918 02:23:05,044 --> 02:23:07,513 CORES IT IS 100% UTILIZED AT ANY 3919 02:23:07,513 --> 02:23:10,649 TIME AND WE ARE CURRENTLY 3920 02:23:10,649 --> 02:23:12,017 UNDERGOING TEN MILLION DOLLAR 3921 02:23:12,017 --> 02:23:13,719 YEAR HARDWARE REFRESH. WE HAVE 3922 02:23:13,719 --> 02:23:16,989 A TEAM THAT'S WITHIN CIT THAT 3923 02:23:16,989 --> 02:23:18,524 SUPPORTS SUPERCOMPUTING THAT 3924 02:23:18,524 --> 02:23:19,758 HELPS BUILD AND THEY'VE BUILT 3925 02:23:19,758 --> 02:23:22,995 AND SUPPORT MORE THAN A THOUSAND 3926 02:23:22,995 --> 02:23:28,100 DIFFERENT APPLICATIONS. TO 3927 02:23:28,100 --> 02:23:29,435 ENABLE RESEARCHERS TO DO HIGH 3928 02:23:29,435 --> 02:23:32,605 PERFORMANCE COMPUTING WITHIN THE 3929 02:23:32,605 --> 02:23:33,272 ENVIRONMENT. THE FEDERAL 3930 02:23:33,272 --> 02:23:36,876 GOVERNMENT IS MORE CLOUD 3931 02:23:36,876 --> 02:23:38,711 FRIENDLY OR CLOUD FORWARD THAN 3932 02:23:38,711 --> 02:23:40,779 ANY ORGANIZATION, ANY OF THE 3933 02:23:40,779 --> 02:23:42,314 UNIVERSITIES OR NONPROFIT 3934 02:23:42,314 --> 02:23:44,216 RESEARCH INSTITUTES THAT I'VE 3935 02:23:44,216 --> 02:23:47,052 WORKED AT. AND ALMOST EVERY 3936 02:23:47,052 --> 02:23:49,088 APPLICATION AND TECHNOLOGY IS, 3937 02:23:49,088 --> 02:23:50,556 YOU KNOW, BEING THOUGHT OF AS 3938 02:23:50,556 --> 02:23:53,425 BEING MOVED INTO THE CLOUD OR 3939 02:23:53,425 --> 02:23:56,195 TRANSFORMED INTO THE CLOUD OR 3940 02:23:56,195 --> 02:23:57,029 HAS ALREADY BEEN DONE TO BE 3941 02:23:57,029 --> 02:23:59,164 MOVED INTO THE CLOUD AND SO WE 3942 02:23:59,164 --> 02:24:03,068 SPEND A LOT OF EFFORT TO SUPPORT 3943 02:24:03,068 --> 02:24:05,437 CLOUD TECHNOLOGIES AND, YOU 3944 02:24:05,437 --> 02:24:07,172 KNOW, SUPPORT CLOUD TECHNOLOGIES 3945 02:24:07,172 --> 02:24:08,774 AND BIOMEDICAL RESEARCH. TO 3946 02:24:08,774 --> 02:24:11,410 THAT END WE'VE CREATED THE NIH 3947 02:24:11,410 --> 02:24:13,812 STRIDES INITIATIVE. THIS IS, I 3948 02:24:13,812 --> 02:24:15,548 THINK, AN AMAZING PARTNERSHIP 3949 02:24:15,548 --> 02:24:19,718 THAT BEV HAD -- WE'VE HAD WITH 3950 02:24:19,718 --> 02:24:21,720 THE OFFICE OF THE DIRECTOR. 3951 02:24:21,720 --> 02:24:23,055 STRIDES IS OUR PROGRAM THAT 3952 02:24:23,055 --> 02:24:26,392 ENABLES ACCESS TO THE CLOUD AT 3953 02:24:26,392 --> 02:24:27,059 DISCOUNT AS WELL AS ENABLES 3954 02:24:27,059 --> 02:24:29,795 BUILDING OF NEW TOOLS UPON THE 3955 02:24:29,795 --> 02:24:32,298 CLOUD THAT INVESTIGATORS CAN USE 3956 02:24:32,298 --> 02:24:34,867 AND CONTRIBUTE TO AND THIS IS IN 3957 02:24:34,867 --> 02:24:36,602 PARTNERSHIP WITH THREE CLOUD 3958 02:24:36,602 --> 02:24:39,371 SERVICE PROVIDERS AWS, GOOGLE 3959 02:24:39,371 --> 02:24:42,775 CLOUD AND MICROSOFT AZURE. AND 3960 02:24:42,775 --> 02:24:44,276 THESE PARTNERSHIPS, THIS BROAD 3961 02:24:44,276 --> 02:24:46,679 AGREEMENT GIVES US, YOU KNOW, 3962 02:24:46,679 --> 02:24:48,280 BOTH THE KIND OF LOWER COST BUT 3963 02:24:48,280 --> 02:24:51,050 ALSO GIVES US STRONG 3964 02:24:51,050 --> 02:24:54,053 COLLABORATIONS IN TERMS OF RND 3965 02:24:54,053 --> 02:24:56,021 AS WE THINK ABOUT HOW TO SUPPORT 3966 02:24:56,021 --> 02:24:57,189 RESEARCH EFFORTS OF TOOLS, 3967 02:24:57,189 --> 02:25:01,126 THINGS THAT ARE IN THE CLOUD. 3968 02:25:01,126 --> 02:25:02,361 TODAY THERE'S MORE THAN THREE 3969 02:25:02,361 --> 02:25:04,496 HUNDRED SIXTY-FOUR MILLION 3970 02:25:04,496 --> 02:25:06,532 GIGABYTES OF DATA WITHIN THE 3971 02:25:06,532 --> 02:25:10,536 STRIDES PROGRAM. IN THE CLOUD. 3972 02:25:10,536 --> 02:25:14,540 AND FROM THAT, WE HAVE MORE THAN 3973 02:25:14,540 --> 02:25:16,942 2700 RESEARCH PROGRAMS THAT 3974 02:25:16,942 --> 02:25:18,644 LEVERAGE THIS AND THEY'VE SAVED 3975 02:25:18,644 --> 02:25:20,746 MORE THAN ONE HUNDRED MILLION 3976 02:25:20,746 --> 02:25:22,848 DOLLARS AND WE'VE TRAINED MORE 3977 02:25:22,848 --> 02:25:27,920 THAN 5500 INVESTIGATORS ON USE 3978 02:25:27,920 --> 02:25:29,488 OF THE CLOUD AND BASICALLY EVERY 3979 02:25:29,488 --> 02:25:32,424 TYPE OF DATA THAT YOU CAN 3980 02:25:32,424 --> 02:25:35,060 POSSIBLY IMAGINE, THAT IS USED 3981 02:25:35,060 --> 02:25:38,364 IN BIOMEDICINE IS NOW SUPPORTED 3982 02:25:38,364 --> 02:25:40,899 THROUGH ACCESS TO THE CLOUD. 3983 02:25:40,899 --> 02:25:45,371 AND MANY, MANY, MANY NIH FUNDED 3984 02:25:45,371 --> 02:25:49,408 RESEARCH PROGRAMS LEVERAGE THE 3985 02:25:49,408 --> 02:25:50,075 STROOIDZ PROGRAM AND HAVE MOVED 3986 02:25:50,075 --> 02:25:52,544 THEIR RESOURCES INTO THE CLOUD 3987 02:25:52,544 --> 02:25:56,015 AND A NUMBER OF THESE ARE 3988 02:25:56,015 --> 02:25:57,349 PROBABLY FAMILIAR WITH. I 3989 02:25:57,349 --> 02:25:58,384 MENTIONED BEFORE IT'S MORE THAN 3990 02:25:58,384 --> 02:25:59,918 JUST A DISCOUNT. I THINK, YOU 3991 02:25:59,918 --> 02:26:02,721 KNOW, ONE OF THE THINGS THAT I 3992 02:26:02,721 --> 02:26:03,989 AM REALLY EXCITED ABOUT STRIDES 3993 02:26:03,989 --> 02:26:06,091 IS WE'RE STARTING TO SEE, YOU 3994 02:26:06,091 --> 02:26:07,993 KNOW, THINGS BEING BUILT UPON 3995 02:26:07,993 --> 02:26:09,561 THE STRIDES PROGRAM THAT ARE 3996 02:26:09,561 --> 02:26:10,496 ESSENTIALLY MORE THAN THE SUM OF 3997 02:26:10,496 --> 02:26:11,063 THEIR PARTS. 3998 02:26:11,063 --> 02:26:15,067 ONE OF THEM IS NIH CLOUD LAB 3999 02:26:15,067 --> 02:26:17,469 IT'S... ENABLES INVESTIGATORS TO 4000 02:26:17,469 --> 02:26:19,805 GET ACCESS TO FREE CREDITS LIKE 4001 02:26:19,805 --> 02:26:22,374 I THINK, IT'S NOT A LOT BUT IT'S 4002 02:26:22,374 --> 02:26:25,544 SOME, 500 DOLLARS OF CREDIT 4003 02:26:25,544 --> 02:26:27,413 ACCESS TO STRIDES. BUT THEY 4004 02:26:27,413 --> 02:26:30,616 ALSO GET ACCESS TO TAILORED 4005 02:26:30,616 --> 02:26:34,186 TRAININGS OF HOW TO DO B 4006 02:26:34,186 --> 02:26:35,020 BIOMEDICAL RESEARCH IN THE 4007 02:26:35,020 --> 02:26:37,156 CLOUDS AND THESE TRAININGS WERE 4008 02:26:37,156 --> 02:26:38,657 DEVELOPED IN PARTNERSHIP WITH 4009 02:26:38,657 --> 02:26:41,026 NIGMS AND WITH THE OFFICE OF 4010 02:26:41,026 --> 02:26:43,962 DATA SCIENCE STRATEGY. NIGMS 4011 02:26:43,962 --> 02:26:45,464 WORKED WITH THE IDEA STATE A 4012 02:26:45,464 --> 02:26:50,002 NUMBER OF IDEA STATE CTRS TO 4013 02:26:50,002 --> 02:26:52,071 DEVELOP TRAINING PROGRAMS THAT 4014 02:26:52,071 --> 02:26:53,772 COULD BE THEN SHARED WITHIN 4015 02:26:53,772 --> 02:26:57,476 STRIDES FOR INVESTIGATORS THAT 4016 02:26:57,476 --> 02:27:01,847 HAVE ACCESS TO THEM AND SO USING 4017 02:27:01,847 --> 02:27:04,583 CLOUD LAB GIVES AN INVESTIGATOR 4018 02:27:04,583 --> 02:27:07,986 THAT IS ASSOCIATED WITH ANY NIH 4019 02:27:07,986 --> 02:27:09,088 PROGRAM ACCESS TO, YOU KNOW, 4020 02:27:09,088 --> 02:27:11,056 SOME TIME TO DO IN THE CLOUD BUT 4021 02:27:11,056 --> 02:27:13,092 ALSO TRAININGS AND THESE 4022 02:27:13,092 --> 02:27:14,359 TRAININGS WERE DEVELOPED 4023 02:27:14,359 --> 02:27:15,728 COLLABORATIVELY SO I THINK THIS 4024 02:27:15,728 --> 02:27:17,496 IS KIND OF ONE EXAMPLE ABOUT HOW 4025 02:27:17,496 --> 02:27:20,399 YOU CAN BUILD UPON A PLATFORM 4026 02:27:20,399 --> 02:27:22,000 LIKE STRIDES TO DO THINGS 4027 02:27:22,000 --> 02:27:23,902 COLLABORATIVELY IN A DIGITAL 4028 02:27:23,902 --> 02:27:25,571 ECOSYSTEM IN A WAY THAT'S 4029 02:27:25,571 --> 02:27:27,072 DIFFERENT THAN WHAT WE MIGHT 4030 02:27:27,072 --> 02:27:29,274 HAVE DONE IN THE PAST. CLOUD, I 4031 02:27:29,274 --> 02:27:31,410 THINK WE'RE ALSO STARTING TO SEE 4032 02:27:31,410 --> 02:27:34,213 THE EMERGENT OF DATA 4033 02:27:34,213 --> 02:27:35,280 REPOSITORIES OF STANDARDIZED 4034 02:27:35,280 --> 02:27:40,085 DATA PLATFORMS. FOR DOING, YOU 4035 02:27:40,085 --> 02:27:45,057 KNOW, FOR DEVELOP IING A, YOU 4036 02:27:45,057 --> 02:27:47,493 KNOW, RESOURCES TO MANAGE DATA, 4037 02:27:47,493 --> 02:27:49,461 TO COLLECT DATA, TO DO ANALYSIS 4038 02:27:49,461 --> 02:27:51,563 ON DATA AND THEN IN THE FUTURE 4039 02:27:51,563 --> 02:27:53,966 TO ALSO DO, YOU KNOW, TO DO AI 4040 02:27:53,966 --> 02:27:58,203 AND DATA SHARING AS WELL. AT 4041 02:27:58,203 --> 02:28:01,573 THE NIH, AGAIN, THIS IS A SLIDE 4042 02:28:01,573 --> 02:28:03,041 FROM SUSAN'S OFFICE IN THE 4043 02:28:03,041 --> 02:28:05,511 OFFICE OF DATA SCIENCE STRATEGY 4044 02:28:05,511 --> 02:28:10,849 WE'VE INVESTED UP UNTIL 2023 WE 4045 02:28:10,849 --> 02:28:13,352 INVESTED ABOUT ARE ALMOST A 4046 02:28:13,352 --> 02:28:15,053 BILLION DOLLARS INTO PROJECTS 4047 02:28:15,053 --> 02:28:19,858 THAT ARE FOCUSED ON ARTIFICIAL 4048 02:28:19,858 --> 02:28:21,860 INTELLIGENCE AND THE SHARE OF 4049 02:28:21,860 --> 02:28:27,065 THE TOTAL NIH BUDGET FOR AI HAS 4050 02:28:27,065 --> 02:28:30,936 INCREASED NEARLY FIVE FOLD SINCE 4051 02:28:30,936 --> 02:28:32,404 2019. AND EVEN WITH HERE, THIS 4052 02:28:32,404 --> 02:28:34,606 DOESN'T CAPTURE ALL OF THE 4053 02:28:34,606 --> 02:28:35,908 ACTIVITY THAT'S HAPPENING ON A 4054 02:28:35,908 --> 02:28:37,676 NUMBER OF EXISTING LARGE 4055 02:28:37,676 --> 02:28:39,011 PROJECTS BUT ALSO ALL THE KINDS 4056 02:28:39,011 --> 02:28:40,746 OF AI THAT YOU MIGHT SEE WITHIN 4057 02:28:40,746 --> 02:28:43,048 LIKE, SAY, RO 1S AND, YOU KNOW, 4058 02:28:43,048 --> 02:28:45,250 OTHER ACTIVITIES THAT ARE 4059 02:28:45,250 --> 02:28:46,185 HAPPENING. AND SO I GUESS, WHAT 4060 02:28:46,185 --> 02:28:48,654 I WANT TO EMPHASIZE, THAT THE 4061 02:28:48,654 --> 02:28:49,755 AMOUNT OF EFFORT THAT'S BEING 4062 02:28:49,755 --> 02:28:51,089 PUT INTO AI IS SUBSTANTIAL AND 4063 02:28:51,089 --> 02:28:54,593 THAT WE HAVE TO HAVE THE 4064 02:28:54,593 --> 02:28:55,794 TECHNOLOGIES BENEATH THAT TO 4065 02:28:55,794 --> 02:28:58,864 HELP SUPPORT THE WORK THAT'S 4066 02:28:58,864 --> 02:28:59,898 BEEN DOING IN THIS SPACE. THERE 4067 02:28:59,898 --> 02:29:01,867 ARE A NUMBER OF CLOUD DATA 4068 02:29:01,867 --> 02:29:03,202 PLATFORMS THAT HAVE EMERGED. 4069 02:29:03,202 --> 02:29:04,870 YOU MAY HAVE HEARD OF THEM. 4070 02:29:04,870 --> 02:29:08,307 THAT ARE LEVERAGED BY NIH 4071 02:29:08,307 --> 02:29:10,008 INVESTIGATORS. GEN 3 FROM THE 4072 02:29:10,008 --> 02:29:12,044 UNIVERSITY OF CHICAGO IS ONE, 4073 02:29:12,044 --> 02:29:14,513 TARA FROM I THINK THE BROAD 4074 02:29:14,513 --> 02:29:16,615 INSTITUTE IS ANOTHER ONE. 4075 02:29:16,615 --> 02:29:18,417 CAVATY KA. THE BRICKS PROGRAM 4076 02:29:18,417 --> 02:29:22,020 WHICH COMES FROM CIT. THESE 4077 02:29:22,020 --> 02:29:23,522 ENABLE THE MANAGEMENT OF 4078 02:29:23,522 --> 02:29:25,691 DATASETS THAT ARE BEING 4079 02:29:25,691 --> 02:29:29,528 COLLECTED EITHER FOR BIOMEDICAL 4080 02:29:29,528 --> 02:29:30,762 RESEARCH PURPOSES AND THEIR 4081 02:29:30,762 --> 02:29:32,130 STANDARDIZED AND HELP 4082 02:29:32,130 --> 02:29:33,932 STANDARDIZE DATA ACROSS THOSE 4083 02:29:33,932 --> 02:29:34,967 DIFFERENT PLATFORMS TO ENABLE US 4084 02:29:34,967 --> 02:29:37,169 TO ACHIEVE, YOU KNOW, FOR 4085 02:29:37,169 --> 02:29:39,538 EXAMPLE, OUR, YOU KNOW, TO 4086 02:29:39,538 --> 02:29:40,873 ACHIEVE THINGS THAT ARE IN OUR 4087 02:29:40,873 --> 02:29:42,341 STRATEGIC PLAN FOR DATA SCIENCE 4088 02:29:42,341 --> 02:29:46,612 OR TO MAKE TECHNOLOGY MORE 4089 02:29:46,612 --> 02:29:47,613 EFFICIENT, LESS EXPENSIVE TO 4090 02:29:47,613 --> 02:29:49,281 USE. AND YOU KNOW, REALLY WHEN 4091 02:29:49,281 --> 02:29:51,049 WE BRING THESE DIFFERENT TOOLS 4092 02:29:51,049 --> 02:29:52,484 AND TECHNOLOGIES TO THE TABLE, 4093 02:29:52,484 --> 02:29:54,186 WE'RE REALLY TRYING TO HELP 4094 02:29:54,186 --> 02:29:55,721 BUILD, WHAT I WOULD LIKE TO CALL 4095 02:29:55,721 --> 02:29:57,723 A MORE ENTERPRISE THINKING FOR 4096 02:29:57,723 --> 02:29:59,191 THE STANDARDS AROUND MAKING 4097 02:29:59,191 --> 02:30:04,963 DATA, YOU KNOW, EASIER TO ACCESS 4098 02:30:04,963 --> 02:30:06,598 AND MORE IMPACTFUL. WE THINK OF 4099 02:30:06,598 --> 02:30:10,736 THE TOOLS THAT WE PROVIDE FOR 4100 02:30:10,736 --> 02:30:11,603 THESE TECHNOLOGIES. THAT 4101 02:30:11,603 --> 02:30:14,006 CONTRIBUTE TO AGAIN WHAT I CALL 4102 02:30:14,006 --> 02:30:14,706 CYBER INFRASTRUCTURE SHOULD BE 4103 02:30:14,706 --> 02:30:17,609 MODULAR AND EASY TO USE. ONE OF 4104 02:30:17,609 --> 02:30:19,511 THOSE TECHNOLOGIES IS AN EXAMPLE 4105 02:30:19,511 --> 02:30:27,085 IS THE NIH RESEARCHER AUGHT 4106 02:30:27,085 --> 02:30:29,922 SERVICE WHICH ENABLES USERS TO 4107 02:30:29,922 --> 02:30:32,190 GET INTO SYSTEM AND AUTHORIZE 4108 02:30:32,190 --> 02:30:32,457 SYSTEMS. 4109 02:30:32,457 --> 02:30:33,825 YOU HAVE PROBABLY SEEN THESE 4110 02:30:33,825 --> 02:30:34,559 TECHNOLOGIES IN OTHER PLACES 4111 02:30:34,559 --> 02:30:36,862 LIKE IF YOU LOG INTO A SYSTEM 4112 02:30:36,862 --> 02:30:40,966 AND YOU USE YOUR SINGLE SIGN ON 4113 02:30:40,966 --> 02:30:43,902 FROM A UNIVERSITY. FROM THE NIH 4114 02:30:43,902 --> 02:30:46,071 THAT ENABLES THAT IDENTITY 4115 02:30:46,071 --> 02:30:47,506 VERIFICATION SO YOU CAN GET INTO 4116 02:30:47,506 --> 02:30:51,910 A SYSTEM BUT IT ALSO ENABLES 4117 02:30:51,910 --> 02:30:54,980 AUTHORIZATION USING GA 4GA THE 4118 02:30:54,980 --> 02:30:58,750 GLOBAL ALLIANCE FOR GENETICS AND 4119 02:30:58,750 --> 02:31:00,319 HEALTH. THE STANDARDS FOR 4120 02:31:00,319 --> 02:31:02,220 ESSENTIALLY AUTHORIZING DATASETS 4121 02:31:02,220 --> 02:31:03,889 ACROSS RESOURCES. SO IF YOU 4122 02:31:03,889 --> 02:31:05,590 HAVE A DATA RESOURCE OVER HERE 4123 02:31:05,590 --> 02:31:08,593 THAT YOU HAVE ACCESS TO AND YOU 4124 02:31:08,593 --> 02:31:09,995 HAVE ANOTHER DATA RESOURCE OVER 4125 02:31:09,995 --> 02:31:13,231 HERE THAT YOU HAVE ACCESS TO 4126 02:31:13,231 --> 02:31:14,499 THAT ARE MANAGED SEPARATELY WITH 4127 02:31:14,499 --> 02:31:16,501 RAS YOU CAN ENABLE, AND THESE 4128 02:31:16,501 --> 02:31:17,803 STANDARDS YOU CAN ENABLE AN 4129 02:31:17,803 --> 02:31:20,539 INVESTIGATOR TO ACCESS TWO 4130 02:31:20,539 --> 02:31:21,606 DATASETS SIMULTANEOUSLY AND DO 4131 02:31:21,606 --> 02:31:22,674 ANALYSIS ON THEM. LIKE SAY, 4132 02:31:22,674 --> 02:31:25,844 LIKE GENOMES IN ONE RESOURCE AND 4133 02:31:25,844 --> 02:31:27,112 GENOMES IN ANOTHER RESOURCE, YOU 4134 02:31:27,112 --> 02:31:29,014 CAN BRING THEM TOGETHER AND DO 4135 02:31:29,014 --> 02:31:30,615 ANALYSIS ON THEM TOGETHER. IN 4136 02:31:30,615 --> 02:31:33,852 AN AUTHORIZED WAY USING A 4137 02:31:33,852 --> 02:31:35,053 STANDARD TECHNOLOGY LIKE THIS 4138 02:31:35,053 --> 02:31:36,955 AND YOU KNOW ESSENTIALLY ANY 4139 02:31:36,955 --> 02:31:39,057 INVESTIGATOR, ANY DATA 4140 02:31:39,057 --> 02:31:41,593 INFORMATICS GROUP THAT'S 4141 02:31:41,593 --> 02:31:44,663 BUILDING TECHNOLOGIES CAN USE 4142 02:31:44,663 --> 02:31:46,631 THAT TO CONTRIBUTE. I'D LIKE TO 4143 02:31:46,631 --> 02:31:49,835 THINK OF THESE AGAIN AS MODULAR, 4144 02:31:49,835 --> 02:31:51,136 I USE THE ANALOGY OF THE LEGO 4145 02:31:51,136 --> 02:31:52,871 BRICK A LOT WHERE WE WANT TO 4146 02:31:52,871 --> 02:31:55,073 BUILD LOTS OF THE LEGO BRICKS 4147 02:31:55,073 --> 02:31:57,609 THAT SCIENTISTS CAN PUT TOGETHER 4148 02:31:57,609 --> 02:31:59,544 AND RAS IS ONE OF THESE LEGOS 4149 02:31:59,544 --> 02:32:01,713 THAT ENABLES ACCESS TO RESOURCES 4150 02:32:01,713 --> 02:32:03,081 BY IDENTIFYING IDENTITY AND 4151 02:32:03,081 --> 02:32:04,583 AUTHORIZATION TO RESOURCES BY 4152 02:32:04,583 --> 02:32:06,485 BUILDING IN STANDARD, YOU KNOW, 4153 02:32:06,485 --> 02:32:07,919 ESSENTIALLY A STANDARD DATA 4154 02:32:07,919 --> 02:32:09,654 PASSPORT THAT ENABLES SOMEBODY 4155 02:32:09,654 --> 02:32:11,323 TO GO IN AND ACCESS ALL THE OF 4156 02:32:11,323 --> 02:32:13,225 DATA THAT THEY HAVE ACCESS TO 4157 02:32:13,225 --> 02:32:16,695 BUT NOT DATA THAT THEY DON'T 4158 02:32:16,695 --> 02:32:20,766 HAVE ACCESS TO. THESE, ABOVE 4159 02:32:20,766 --> 02:32:22,034 THESE PLATFORMS ARE SOMETHING 4160 02:32:22,034 --> 02:32:25,070 THAT WE ALSO CALL WORKSPACES A 4161 02:32:25,070 --> 02:32:26,371 COMMON PROBLEM IN BIOMEDICAL 4162 02:32:26,371 --> 02:32:29,007 RESEARCH TODAY IS WE FUNDED A 4163 02:32:29,007 --> 02:32:30,542 NUMBER OF LIKE SAY COORDINATING 4164 02:32:30,542 --> 02:32:31,743 CENTERS THAT ARE COORDINATING 4165 02:32:31,743 --> 02:32:33,745 THE COLLECTION OF DATA FROM A 4166 02:32:33,745 --> 02:32:36,481 NUMBER OF DIFFERENT SITES, 4167 02:32:36,481 --> 02:32:37,015 INVESTIGATORS NEED TO DO 4168 02:32:37,015 --> 02:32:39,051 ANALYSIS ON THAT DATA OR LIKE 4169 02:32:39,051 --> 02:32:42,320 MACHINE LEARNING OR SOMETHING 4170 02:32:42,320 --> 02:32:44,890 LIKE THAT. WE'VE -- ARE HELPING 4171 02:32:44,890 --> 02:32:46,291 SUPPORT THE CREATION OF THE 4172 02:32:46,291 --> 02:32:48,326 CONCEPT OF SOMETHING CALLED A 4173 02:32:48,326 --> 02:32:50,062 WORKSPACE WHICH IS BASICALLY A 4174 02:32:50,062 --> 02:32:51,430 WALLED GARDEN IN THE CLOUD THAT 4175 02:32:51,430 --> 02:32:52,497 WE CAN SPIN UP THAT WOULD GIVE 4176 02:32:52,497 --> 02:32:55,067 ACCESS TO DATA FROM, YOU KNOW, 4177 02:32:55,067 --> 02:32:56,735 POTENTIALLY MULTIPLE RESOURCES 4178 02:32:56,735 --> 02:32:58,370 THAT WOULD BE AVAILABLE TO AN 4179 02:32:58,370 --> 02:33:00,672 INVESTIGATOR SO, YOU KNOW, WHILE 4180 02:33:00,672 --> 02:33:01,573 THEY NEED TO DO WHATEVER 4181 02:33:01,573 --> 02:33:03,375 RESEARCH IT IS THAT THEY NEED TO 4182 02:33:03,375 --> 02:33:04,910 DO. SO IF YOU HAVE A DATA 4183 02:33:04,910 --> 02:33:07,045 RESOURCE AND A RESEARCHER HAS 4184 02:33:07,045 --> 02:33:08,480 ACCESS TO THAT DATA RESOURCE AND 4185 02:33:08,480 --> 02:33:10,382 SOME DATA IN THERE, THEY NEED TO 4186 02:33:10,382 --> 02:33:11,650 BUILD LIKE SAY A MACHINE 4187 02:33:11,650 --> 02:33:13,718 LEARNING MODEL OR THEY WANT TO 4188 02:33:13,718 --> 02:33:15,487 PLAY WITH A LARGE LANGUAGE MODEL 4189 02:33:15,487 --> 02:33:16,655 SERVICE OR SOMETHING LIKE THAT 4190 02:33:16,655 --> 02:33:18,223 THAT THEY'RE AUTHORIZED TO DO, 4191 02:33:18,223 --> 02:33:20,725 WE CAN USE A WORKSPACE 4192 02:33:20,725 --> 02:33:22,494 TECHNOLOGY TO CREATE A COMPUTER 4193 02:33:22,494 --> 02:33:23,628 ENVIRONMENT, GIVE THEM A LOGIN 4194 02:33:23,628 --> 02:33:25,197 THAT THEY CAN GET INTO AND ONLY 4195 02:33:25,197 --> 02:33:26,164 THEY CAN GET INTO AND THEN THEY 4196 02:33:26,164 --> 02:33:28,433 CAN GO INTO THAT ENVIRONMENT, DO 4197 02:33:28,433 --> 02:33:29,968 THE ANALYSIS, THE MACHINE 4198 02:33:29,968 --> 02:33:32,104 LEARNING OR WHATEVER IT IS THAT 4199 02:33:32,104 --> 02:33:33,305 THEY WANT TO DO, AND THEN WHEN 4200 02:33:33,305 --> 02:33:35,640 THEIR PROJECT IS DONE, THAT, YOU 4201 02:33:35,640 --> 02:33:36,942 KNOW, THAT ENVIRONMENT COULD BE 4202 02:33:36,942 --> 02:33:39,044 ARCHIVED OR THE PRODUCTS OF THAT 4203 02:33:39,044 --> 02:33:40,579 ENVIRONMENT COULD THEN BE 4204 02:33:40,579 --> 02:33:44,216 ARCHIVED. AND THESE WORKSPACES 4205 02:33:44,216 --> 02:33:46,218 COULD, YOU KNOW, CONCEIVABLY BE 4206 02:33:46,218 --> 02:33:48,253 VERY PLUG AND PLAY IN THAT YOU 4207 02:33:48,253 --> 02:33:49,521 CAN CREATE THEM. YOU CAN 4208 02:33:49,521 --> 02:33:51,056 CONNECT THEM TO ARBITRARY 4209 02:33:51,056 --> 02:33:53,091 RESOURCES AGAIN, ENABLED THROUGH 4210 02:33:53,091 --> 02:33:56,094 THE USE OF TECHNOLOGY STANDARDS 4211 02:33:56,094 --> 02:33:58,730 THAT ALLOW DATA RESOURCES TO, 4212 02:33:58,730 --> 02:34:02,000 YOU KNOW, CONNECT TOGETHER AND 4213 02:34:02,000 --> 02:34:05,070 TO DO YOU KNOW, WHATEVER IT IS 4214 02:34:05,070 --> 02:34:06,538 THAT THEY NEED TO DO AND I THINK 4215 02:34:06,538 --> 02:34:08,907 ONE OF THE BENEFITS OF LIKES FOR 4216 02:34:08,907 --> 02:34:09,908 EXAMPLE, USING THE CLOUD IS A 4217 02:34:09,908 --> 02:34:11,042 LOT OF THESE STANDARDS ARE, YOU 4218 02:34:11,042 --> 02:34:13,778 KNOW, ESSENTIALLY BAKED IN OR 4219 02:34:13,778 --> 02:34:14,412 COULD BE DEVELOPED AND SHARED 4220 02:34:14,412 --> 02:34:17,649 AMONGST DATA RESOURCES AND 4221 02:34:17,649 --> 02:34:18,583 SHARED AMONGST INVESTIGATORS 4222 02:34:18,583 --> 02:34:20,418 SUCH THAT YOU KNOW YOU ONLY HAVE 4223 02:34:20,418 --> 02:34:21,920 TO BUILD SOMETHING ONCE AND IN 4224 02:34:21,920 --> 02:34:23,755 ORDER TO SUPPORT MANY, MANY, 4225 02:34:23,755 --> 02:34:26,525 MANY ACTIVITIES THAT ARE 4226 02:34:26,525 --> 02:34:28,360 HAPPENING. MANY PROGRAMS 4227 02:34:28,360 --> 02:34:31,062 ALREADY USE WORKSPACES AND MANY 4228 02:34:31,062 --> 02:34:33,965 OF THESE WORKSPACE TECHNOLOGIES 4229 02:34:33,965 --> 02:34:39,037 ARE LEVERAGED FROM... ARE 4230 02:34:39,037 --> 02:34:40,172 LEVERAGED USING THESE STANDARDS 4231 02:34:40,172 --> 02:34:42,807 THAT I'VE BEEN ELUDING TO AND 4232 02:34:42,807 --> 02:34:44,609 AND SO I EXPECT THAT THIS LIST 4233 02:34:44,609 --> 02:34:45,644 WILL GROW INTO SOMETHING THAT WE 4234 02:34:45,644 --> 02:34:47,746 WOULD LIKE TO BE BETTER AT AS A 4235 02:34:47,746 --> 02:34:48,914 SERVICE. I THINK, YOU KNOW, 4236 02:34:48,914 --> 02:34:50,782 WHEN I WAS AT THE UNIVERSITY OF 4237 02:34:50,782 --> 02:34:51,716 WASHINGTON MORE THAN A YEAR AGO, 4238 02:34:51,716 --> 02:34:54,886 A LOT, I WORKED WITH A LOT OF 4239 02:34:54,886 --> 02:34:55,921 DATA COORDINATING CENTERS THAT 4240 02:34:55,921 --> 02:34:57,789 WERE VERY ADVANCED IN TERMS OF 4241 02:34:57,789 --> 02:34:59,057 THEIR TECHNOLOGY, THEY WERE 4242 02:34:59,057 --> 02:35:04,062 MOVING INTO THE CHOWLOUD AND ONF 4243 02:35:04,062 --> 02:35:05,463 THE AREAS THAT WE WANT TO DO 4244 02:35:05,463 --> 02:35:07,065 HELP SUPPORT WAS THE BUILDING OF 4245 02:35:07,065 --> 02:35:09,968 THESE ANALYTICS ENVIRONMENTS AND 4246 02:35:09,968 --> 02:35:11,536 I THINK THERE WASN'T REALLY, 4247 02:35:11,536 --> 02:35:13,038 THERE WASN'T REALLY GOOD, I 4248 02:35:13,038 --> 02:35:14,539 THINK FLUENCY AMONG THE 4249 02:35:14,539 --> 02:35:16,007 RESEARCHER COMMUNITY ABOUT HOW 4250 02:35:16,007 --> 02:35:17,309 THESE TECHNOLOGIES CAN BE USED 4251 02:35:17,309 --> 02:35:20,245 AND HOW THEY CAN BE USED FOR 4252 02:35:20,245 --> 02:35:21,580 COST-EFFECTIVELY TO SUPPORT DATA 4253 02:35:21,580 --> 02:35:23,748 AND DATA RESOURCES THAT ARE, YOU 4254 02:35:23,748 --> 02:35:25,817 KNOW, RIGHT NOW BURDENED WITH A 4255 02:35:25,817 --> 02:35:28,753 NUMBER OF DIFFERENT COSTS AND 4256 02:35:28,753 --> 02:35:29,754 CHALLENGES FOR SCALING. AS 4257 02:35:29,754 --> 02:35:32,824 YOU'RE PROBABLY VERY WELL AWARE 4258 02:35:32,824 --> 02:35:35,760 OF. THIS YEAR, THE NOBEL PRIZE 4259 02:35:35,760 --> 02:35:40,065 IN CHEMISTRY WAS FOCUSED ON AI. 4260 02:35:40,065 --> 02:35:48,506 WHICH WAS VERY EXCITING WITH THE 4261 02:35:48,506 --> 02:35:50,041 STRUCTURE PREDICTION AND DESIGN 4262 02:35:50,041 --> 02:35:51,543 OF PROTEINS. AND ONE OF THE 4263 02:35:51,543 --> 02:35:53,612 THINGS THAT I REALLY WANT TO 4264 02:35:53,612 --> 02:35:57,549 POINT OUT IS THAT THE REASON WE 4265 02:35:57,549 --> 02:35:59,050 KNOW THAT THESE GROUPS WERE ABLE 4266 02:35:59,050 --> 02:36:01,786 TO, YOU KNOW, ABLE TO SOLVE THE 4267 02:36:01,786 --> 02:36:03,021 PROTEIN STRUCTURE PREDICTION 4268 02:36:03,021 --> 02:36:04,990 PROBLEM THAT WON THE NOBEL PRIZE 4269 02:36:04,990 --> 02:36:06,157 WAS THAT THERE WAS A CONSORTIUM 4270 02:36:06,157 --> 02:36:11,062 OF INVESTIGATORS THAT GOT 4271 02:36:11,062 --> 02:36:16,234 TOGETHER WHAT 35 YEARS AGO, I 4272 02:36:16,234 --> 02:36:17,969 DON'T KNOW THE EXACT DATE BUT IT 4273 02:36:17,969 --> 02:36:23,074 WAS ABOUT 1990 WHERE THEY SAID 4274 02:36:23,074 --> 02:36:25,777 INVESTIGATORS ARE DEVELOPING 4275 02:36:25,777 --> 02:36:27,078 ALGORITHM TO PREDICT THE 4276 02:36:27,078 --> 02:36:34,319 STRUCTURE OF PRO PROTEINS AND WE 4277 02:36:34,319 --> 02:36:35,453 DON'T KNOW WHO IS DOING THE 4278 02:36:35,453 --> 02:36:35,654 BEST. 4279 02:36:35,654 --> 02:36:38,223 SO THEY CREATED A CONSORTIUM TO 4280 02:36:38,223 --> 02:36:39,291 ACTUALLY ASSESS EVERY TWO YEARS 4281 02:36:39,291 --> 02:36:43,061 IN AN UNBIASED WAY, HOW THESE 4282 02:36:43,061 --> 02:36:44,496 DIFFERENT ALGORITHMS WERE DOING 4283 02:36:44,496 --> 02:36:45,697 FOR PREDICTING PROTEIN 4284 02:36:45,697 --> 02:36:47,065 STRUCTURES AND THEY TURNED IT 4285 02:36:47,065 --> 02:36:49,434 INTO A COMPETITION CALLED THE 4286 02:36:49,434 --> 02:36:53,505 CRITICAL ASSESSMENT OF STRUCTURE 4287 02:36:53,505 --> 02:36:56,808 PREDICTION AND I THINK FROM CASP 4288 02:36:56,808 --> 02:36:58,710 WAS ONE OF THE EARLY EXAMPLES OF 4289 02:36:58,710 --> 02:37:00,779 A DATA SCIENCE CHALLENGE THAT 4290 02:37:00,779 --> 02:37:02,614 ENABLED A COMMUNITY TO... OF 4291 02:37:02,614 --> 02:37:04,649 SCIENTISTS TO GET TOGETHER AND 4292 02:37:04,649 --> 02:37:08,320 WORK COLLABORATIVELY IN A 4293 02:37:08,320 --> 02:37:09,621 COMPETITIVE WAY TO DEVELOP A, 4294 02:37:09,621 --> 02:37:12,991 YOU KNOW, TO ADVANCE ALGORITHMS 4295 02:37:12,991 --> 02:37:13,958 FOR PREDICTING PROTEIN STRUCTURE 4296 02:37:13,958 --> 02:37:16,494 AND I THINK IT WAS BECAUSE OF 4297 02:37:16,494 --> 02:37:18,163 CASP REALLY THAT WE KNEW THAT 4298 02:37:18,163 --> 02:37:20,432 THIS WORK HAD BEEN DONE AT THE 4299 02:37:20,432 --> 02:37:22,567 LEVEL THAT AGAIN WON A NOBEL 4300 02:37:22,567 --> 02:37:24,169 PRIZE LAST YEAR. AND THIS WORK 4301 02:37:24,169 --> 02:37:28,106 IS, YOU KNOW, NIH FUNDED, NIGMS 4302 02:37:28,106 --> 02:37:30,342 HAS FUNDED CASP FOR A VERY LONG 4303 02:37:30,342 --> 02:37:34,446 TIME AND I'M A HUGE PROPONENT OF 4304 02:37:34,446 --> 02:37:35,747 COLLABORATIVE DATA CHALLENGES 4305 02:37:35,747 --> 02:37:36,981 WHERE, YOU KNOW, GROUPS OF 4306 02:37:36,981 --> 02:37:38,516 INVESTIGATORS THAT ARE TRYING TO 4307 02:37:38,516 --> 02:37:41,386 SOLVE A SIMILAR PROBLEM WORK 4308 02:37:41,386 --> 02:37:42,921 TOGETHER, COMPETITIVELY, TO, YOU 4309 02:37:42,921 --> 02:37:44,022 KNOW, WORK TOGETHER, MAYBE A 4310 02:37:44,022 --> 02:37:45,824 LITTLE COMPETITIVELY IS PART OF 4311 02:37:45,824 --> 02:37:48,760 A CHALLENGE TO ASSESS, TO BE 4312 02:37:48,760 --> 02:37:49,861 ABLE TO ASSESS WHETHER, YOU 4313 02:37:49,861 --> 02:37:52,597 KNOW, THE KINDS OF TOOLS THAT 4314 02:37:52,597 --> 02:37:54,099 WE'RE BUILDING IN AI ARE 4315 02:37:54,099 --> 02:37:57,068 ACTUALLY ADVANCING THE FIELD OR 4316 02:37:57,068 --> 02:37:59,037 NOT. AND SO I'M A BIG PROPONENT 4317 02:37:59,037 --> 02:38:00,505 OF THIS AND I'D LOVE TO SEE MORE 4318 02:38:00,505 --> 02:38:07,045 CHALLENGES, YOU KNOW, IN THE NIH 4319 02:38:07,045 --> 02:38:10,081 ENVIRONMENT. ANOTHER THING TO 4320 02:38:10,081 --> 02:38:16,788 MENTION TOO IS THAT WE HAVE 4321 02:38:16,788 --> 02:38:17,756 ENTERED A NEW ERA AND I DON'T 4322 02:38:17,756 --> 02:38:19,157 KNOW IF ALL RESEARCHERS 4323 02:38:19,157 --> 02:38:21,259 APPRECIATE THIS YET. THE ERA OF 4324 02:38:21,259 --> 02:38:23,561 OPERATIONAL AI. WHICH MEANS WE 4325 02:38:23,561 --> 02:38:25,964 ARE IS IMPLEMENTING ARTIFICIAL 4326 02:38:25,964 --> 02:38:28,967 INTELLIGENCE INTO ENTERPRISE 4327 02:38:28,967 --> 02:38:34,906 SYSTEMS SUCH THAT THEY ARE 4328 02:38:34,906 --> 02:38:35,740 BASICALLY IT TECHNOLOGIES AND 4329 02:38:35,740 --> 02:38:37,342 THERE MAY NOT BE A DATA 4330 02:38:37,342 --> 02:38:41,045 SCIENTIST IN THE LOOP AT ALL IN 4331 02:38:41,045 --> 02:38:43,047 THEIR IMPLEMENTATION AND 4332 02:38:43,047 --> 02:38:44,215 DEPLOYMENT. WE ARE SEEING, YOU 4333 02:38:44,215 --> 02:38:45,984 KNOW, AI TECHNOLOGIES BEING, YOU 4334 02:38:45,984 --> 02:38:48,386 KNOW, MACHINE LEARNING BEING PUT 4335 02:38:48,386 --> 02:38:51,423 INTO, YOU KNOW, INTO ELECTRONIC 4336 02:38:51,423 --> 02:38:53,258 HEALTH RECORD SYSTEMS FOR 4337 02:38:53,258 --> 02:38:55,059 EXAMPLE, EPIC HAS THE OUT OF THE 4338 02:38:55,059 --> 02:38:57,328 BOX MODEL. YOU MAY BE FAMILIAR 4339 02:38:57,328 --> 02:38:59,063 WITH THE SEPSIS PREDICTOR FOR 4340 02:38:59,063 --> 02:39:01,499 ACUTE CARE ICU SETTINGS THAT 4341 02:39:01,499 --> 02:39:02,867 PREDICTS AS AN EARLY WARNING FOR 4342 02:39:02,867 --> 02:39:05,737 SEPSIS THAT'S BEEN IN THE NEWS, 4343 02:39:05,737 --> 02:39:07,806 BEEN AN ACTIVE AREA OF RESEARCH 4344 02:39:07,806 --> 02:39:08,740 FOR QUITE SOME TIME. BUT THERE 4345 02:39:08,740 --> 02:39:12,143 ARE OTHER MODELS, WE'RE STARTING 4346 02:39:12,143 --> 02:39:14,612 TO PUT LARGE LANGUAGE MODELS OR 4347 02:39:14,612 --> 02:39:16,047 GENERATIVE MODELS INTO THE EHR 4348 02:39:16,047 --> 02:39:20,985 FOR DRAFTING INBOX MESSAGES, FOR 4349 02:39:20,985 --> 02:39:23,421 PROVIDERS, OR AMBIENT SCRIBES 4350 02:39:23,421 --> 02:39:24,589 THAT DEVELOP AUTOMATED 4351 02:39:24,589 --> 02:39:27,792 DOCUMENTATION. WE'RE SEEING AI 4352 02:39:27,792 --> 02:39:30,995 BEING PUT INTO TEAMS SO THAT WE 4353 02:39:30,995 --> 02:39:32,030 CAN GENERATE AUTOMATIC NOTES FOR 4354 02:39:32,030 --> 02:39:33,865 A MEETING AND WHAT THE TASKS ARE 4355 02:39:33,865 --> 02:39:35,633 MOVING AWAY FROM A MEETING. AS 4356 02:39:35,633 --> 02:39:37,936 PART OF THIS, WE'RE ALSO DOING A 4357 02:39:37,936 --> 02:39:42,106 NUMBER OF AI PROJECTS WITHIN THE 4358 02:39:42,106 --> 02:39:46,778 NIH SO, FOR EXAMPLE, TRIALGPT IS 4359 02:39:46,778 --> 02:39:47,679 A LARGE LANGUAGE MODEL THAT 4360 02:39:47,679 --> 02:39:50,448 HELPS IDENTIFY PATIENTS FOR 4361 02:39:50,448 --> 02:39:51,483 CLINICAL TRIALS. AND THERE ARE 4362 02:39:51,483 --> 02:39:55,053 A NUMBER OF OTHER USE CASES THAT 4363 02:39:55,053 --> 02:39:58,189 ARE, A NUMBER OF OTHER USE CASES 4364 02:39:58,189 --> 02:39:59,791 THAT ARE HAPPENING. TODAY UNDER 4365 02:39:59,791 --> 02:40:02,494 AN EXECUTIVE ORDER FROM THE LAST 4366 02:40:02,494 --> 02:40:03,061 ADMINISTRATION, WE HAD TO 4367 02:40:03,061 --> 02:40:05,196 COLLECT ALL OF OUR AI USE CASES, 4368 02:40:05,196 --> 02:40:06,364 THERE ARE A NUMBER OF 4369 02:40:06,364 --> 02:40:08,867 OPERATIONAL USE CASES THAT ARE 4370 02:40:08,867 --> 02:40:11,603 HAPPENING AT THE NIH AS YOU ALL 4371 02:40:11,603 --> 02:40:12,837 KNOW, I WILL HIGHLIGHT THERE ARE 4372 02:40:12,837 --> 02:40:16,641 RISKS TO USE OF AI. IT CAN BE 4373 02:40:16,641 --> 02:40:19,043 INEQUITABLE, IT CAN BE 4374 02:40:19,043 --> 02:40:21,579 IMPLEMENTED IRRESPONSIBLY. DATA 4375 02:40:21,579 --> 02:40:23,047 IN TRAINING MAY BE SHARED. IT 4376 02:40:23,047 --> 02:40:25,416 CAN IMPACT HUMAN RIGHTS, IT CAN 4377 02:40:25,416 --> 02:40:28,052 BE UNSAFE IT CAN DRIFT IN 4378 02:40:28,052 --> 02:40:29,487 ACCURACY OVER TIME AND THERE MAY 4379 02:40:29,487 --> 02:40:31,055 BE PRIVACY ISSUES OVER DATA. SO 4380 02:40:31,055 --> 02:40:32,357 I THINK THAT'S ANOTHER CHALLENGE 4381 02:40:32,357 --> 02:40:34,325 THAT WE NEED TO THINK ABOUT AND 4382 02:40:34,325 --> 02:40:36,327 AS PART OF THAT WE'RE DEVELOPING 4383 02:40:36,327 --> 02:40:38,463 GOVERNANCE TO OVERSEE THE USE 4384 02:40:38,463 --> 02:40:41,699 AND IMPLEMENTATION OF AI IN 4385 02:40:41,699 --> 02:40:43,601 ORDER TO MANAGE AND SUPPORT 4386 02:40:43,601 --> 02:40:45,670 THOSE RISKS. ALL RIGHT AND I 4387 02:40:45,670 --> 02:40:47,605 THINK I'M JUST ABOUT TO WRAP UP 4388 02:40:47,605 --> 02:40:48,973 HERE SOON I KNOW I'M JUST ABOUT 4389 02:40:48,973 --> 02:40:50,875 OUT OF TIME THERE ARE MORE THAN 4390 02:40:50,875 --> 02:40:53,144 100 KNOWN USE CASES I MENTIONED 4391 02:40:53,144 --> 02:40:55,046 BEFORE, 77 OF THOSE USE CASES 4392 02:40:55,046 --> 02:40:57,982 ARE ACTIVE TODAY. 27 OF THEM 4393 02:40:57,982 --> 02:41:03,688 RELATE TO GRANTS MANAGEMENT. 4394 02:41:03,688 --> 02:41:05,290 THERE ARE 16 CHATBOTS BEING 4395 02:41:05,290 --> 02:41:07,692 USED. PROCESSING OF TEXT IS 4396 02:41:07,692 --> 02:41:09,994 BEING USED AND AGAIN, AND I 4397 02:41:09,994 --> 02:41:11,796 THINK THAT THIS JUST GOES TO 4398 02:41:11,796 --> 02:41:13,898 SHOW THAT NIH IS LEVERAGING AND 4399 02:41:13,898 --> 02:41:17,235 BUILDING A NUMBER OF OPERATIONAL 4400 02:41:17,235 --> 02:41:18,937 AI TOOLS WHICH WE'RE VERY 4401 02:41:18,937 --> 02:41:20,605 EXCITED ABOUT. ANOTHER ONE IS 4402 02:41:20,605 --> 02:41:21,172 CLASSIFICATION OF THE DATA 4403 02:41:21,172 --> 02:41:23,775 MANAGEMENT AND SHARING PLANS. 4404 02:41:23,775 --> 02:41:27,912 LLM FOR DMS WHICH HELPS PROGRAM 4405 02:41:27,912 --> 02:41:31,049 OFFICERS TO CLUSTER DMS DATA 4406 02:41:31,049 --> 02:41:35,053 MANAGEMENT PLANS FOR PROPOSALS 4407 02:41:35,053 --> 02:41:38,122 AND THIS HAS BEEN ACTIVE FOR 4408 02:41:38,122 --> 02:41:39,657 SOME TIME. THERE'S ALSO A 4409 02:41:39,657 --> 02:41:41,960 CHATBOT ACCESS IS HERE, I'M 4410 02:41:41,960 --> 02:41:43,227 MOVING A LITTLE FAST SO I CAN 4411 02:41:43,227 --> 02:41:46,731 GET THROUGH EVERYTHING IN TIME. 4412 02:41:46,731 --> 02:41:50,268 AND WE HAD A KICKOFF FOR SECURE 4413 02:41:50,268 --> 02:41:52,537 ACCESS TO CHATGPT IN JANUARY, 4414 02:41:52,537 --> 02:41:54,839 THERE WERE MORE THAN 600 4415 02:41:54,839 --> 02:41:55,640 INVESTIGATORS THAT JOINED THE 4416 02:41:55,640 --> 02:41:58,276 KICKOFF MEETING WHERE WE 4417 02:41:58,276 --> 02:42:00,244 ANNOUNCED AND DEPLOYED THAT. 4418 02:42:00,244 --> 02:42:02,747 AND YOU KNOW GIVES A, I THINK 4419 02:42:02,747 --> 02:42:05,783 SOME INSIGHT INTO HOW INTERESTED 4420 02:42:05,783 --> 02:42:09,087 INVESTIGATORS ARE IN THE USE OF 4421 02:42:09,087 --> 02:42:10,922 AI. COPILOT IS ANOTHER EXAMPLE 4422 02:42:10,922 --> 02:42:13,725 WHICH IS THE INTEGRATION OF AI 4423 02:42:13,725 --> 02:42:20,164 INTO OFFICE AND TEAMS AND E-MAIL 4424 02:42:20,164 --> 02:42:21,966 OFFICE 365 AND THAT'S COMING 4425 02:42:21,966 --> 02:42:22,667 SOON. IT WAS JUST MADE 4426 02:42:22,667 --> 02:42:24,535 AVAILABLE TO THE FEDERAL 4427 02:42:24,535 --> 02:42:27,138 AUDIENCE IN APRIL AND IS NOW 4428 02:42:27,138 --> 02:42:29,073 BEING IMPLEMENTED. SO PUTTING 4429 02:42:29,073 --> 02:42:31,609 THAT ALTOGETHER, I MENTIONED 4430 02:42:31,609 --> 02:42:33,878 BEFORE THE DIGITAL ECOSYSTEM IS 4431 02:42:33,878 --> 02:42:35,780 MODULAR LIKE LEGO BRICKS, WE'RE 4432 02:42:35,780 --> 02:42:38,416 VERY EXCITED ABOUT MAKING THE -- 4433 02:42:38,416 --> 02:42:39,851 REUSABLE AND THE TECHNOLOGIES 4434 02:42:39,851 --> 02:42:42,720 AVAILABLE TO INVESTIGATORS IN A 4435 02:42:42,720 --> 02:42:45,023 TRANSPARENT WAY. AND THESE 4436 02:42:45,023 --> 02:42:45,657 LEGOS CAN BE ANYTHING YOU CAN 4437 02:42:45,657 --> 02:42:48,826 POSSIBLY IMAGINE IN TERMS OF 4438 02:42:48,826 --> 02:42:51,062 TECHNOLOGY AND MY HOPE IS IS 4439 02:42:51,062 --> 02:42:52,864 THAT INVESTIGATORS WILL 4440 02:42:52,864 --> 02:42:54,532 CONTRIBUTE TO BUILDING NEW LEGOS 4441 02:42:54,532 --> 02:42:55,967 THAT WILL PLAY IN AN ECOSYSTEM 4442 02:42:55,967 --> 02:42:58,236 THAT CAN THEN BE REUSED. AND 4443 02:42:58,236 --> 02:42:59,804 MAYBE I'LL SKIP THESE LAST TWO 4444 02:42:59,804 --> 02:43:02,407 PARTS JUST TO SAY WE HAVE A 4445 02:43:02,407 --> 02:43:03,708 NEWSLETTER THAT'S COMING SOON. 4446 02:43:03,708 --> 02:43:05,510 PLEASE LOOK FOR IT. IT'LL BE 4447 02:43:05,510 --> 02:43:07,712 POSTED ON LINKEDIN FOR SURE AND 4448 02:43:07,712 --> 02:43:09,947 YOU CAN SEE IT THROUGH MY 4449 02:43:09,947 --> 02:43:11,049 LINKEDIN AND THANK YOU AGAIN FOR 4450 02:43:11,049 --> 02:43:12,717 YOUR TIME AND THE INVITE WE'RE 4451 02:43:12,717 --> 02:43:13,751 VERY EXCITED ABOUT THE 4452 02:43:13,751 --> 02:43:16,054 TECHNOLOGY THAT WE'RE PUTTING IN 4453 02:43:16,054 --> 02:43:19,057 PLACE TO HELP SUPPORT THE NIH 4454 02:43:19,057 --> 02:43:21,926 COMMUNITY WITH ITS DIGITAL E 4455 02:43:21,926 --> 02:43:22,760 ECOSYSTEM AND THE SCIENTIFIC 4456 02:43:22,760 --> 02:43:23,761 MISSION THAT WE DO. SO THANK 4457 02:43:23,761 --> 02:43:26,030 YOU VERY MUCH. IF THERE'S TIME 4458 02:43:26,030 --> 02:43:28,199 FOR QUESTIONS I WOULD CERTAINLY 4459 02:43:28,199 --> 02:43:29,767 BE HAPPY TO TAKE SOME. 4460 02:43:29,767 --> 02:43:32,437 >> TERRIFIC THANK YOU SO MUCH, 4461 02:43:32,437 --> 02:43:35,039 SEAN, THAT WAS REALLY GREAT, 4462 02:43:35,039 --> 02:43:35,807 INCREDIBLY INTERESTING TO 4463 02:43:35,807 --> 02:43:38,643 UNDERSTAND WHAT THE CIT IS DOING 4464 02:43:38,643 --> 02:43:41,245 AT THE NIH LEVEL. BECAUSE IT'S 4465 02:43:41,245 --> 02:43:45,616 KIND OF A BLACK BOX BUT I THINK 4466 02:43:45,616 --> 02:43:47,485 FOR US TO SXUNS I WAS SURPRISED 4467 02:43:47,485 --> 02:43:48,786 BY ONE OF YOUR FIRST SLIDES. 4468 02:43:48,786 --> 02:43:50,455 THAT YOU ONLY HAVE A BILLION 4469 02:43:50,455 --> 02:43:51,989 E-MAILS THAT YOU DEAL WITH 4470 02:43:51,989 --> 02:43:52,690 BECAUSE I THOUGHT THAT'S HOW 4471 02:43:52,690 --> 02:44:03,034 MANY I GET A DAY. PROBABLY. SO 4472 02:44:03,034 --> 02:44:03,568 AMAZING STATS. 4473 02:44:03,568 --> 02:44:05,670 >> I ACTUALLY THOUGHT THE E-MAIL 4474 02:44:05,670 --> 02:44:07,538 COUNT WAS A LITTLE LOW TOO. 4475 02:44:07,538 --> 02:44:08,239 >> WE CERTAINLY HAVE TIME FOR A 4476 02:44:08,239 --> 02:44:18,783 FEW QUESTIONS. ANY QUESTIONS? 4477 02:44:21,052 --> 02:44:25,056 >> NIH ARE AWARE AND VERY 4478 02:44:25,056 --> 02:44:26,758 APPRECIATIVE IN EFFORTS BUT HERE 4479 02:44:26,758 --> 02:44:28,326 WAS A CHANCE TO SPEAK TO SOME 4480 02:44:28,326 --> 02:44:31,462 REPRESENTATION OF THE EXTERNAL 4481 02:44:31,462 --> 02:44:34,465 RESEARCH COMMUNITY. IF YOU MAY 4482 02:44:34,465 --> 02:44:38,102 BE PUTTING YOU ON THE SPOT IF 4483 02:44:38,102 --> 02:44:39,837 THERE'S ASK IN TERMS OF 4484 02:44:39,837 --> 02:44:40,638 UNDERSTANDING MORE INPUT WHERE 4485 02:44:40,638 --> 02:44:41,906 DO YOU THINK WE NEED THE 4486 02:44:41,906 --> 02:44:43,040 GREATEST UNDERSTANDING AND HELP 4487 02:44:43,040 --> 02:44:48,613 FROM THE RESEARCH COMMUNITY? 4488 02:44:48,613 --> 02:44:49,680 >> IT'S NO SECRET THAT OUR COST 4489 02:44:49,680 --> 02:44:53,317 FOR IT ARE INCREASING. 4490 02:44:53,317 --> 02:44:55,052 SIMULTANEOUSLY OUR COST FOR DATA 4491 02:44:55,052 --> 02:44:58,156 AND DATA RESOURCES AND NOW THE 4492 02:44:58,156 --> 02:45:01,692 AI COSTS ARE INCREASING. AND I 4493 02:45:01,692 --> 02:45:04,262 THINK THAT THE ONLY WAY THAT WE 4494 02:45:04,262 --> 02:45:05,897 ARE GOING TO, YOU KNOW, THE ONLY 4495 02:45:05,897 --> 02:45:07,031 WAY I THINK THAT WE'RE GOING TO 4496 02:45:07,031 --> 02:45:08,699 BE TRULY SUCCESSFUL IN GETTING 4497 02:45:08,699 --> 02:45:10,001 THROUGH THIS IS THIS CONCEPT OF 4498 02:45:10,001 --> 02:45:13,838 A DIGITAL ECOSYSTEM OF A PLACE 4499 02:45:13,838 --> 02:45:14,472 WHERE WE CAN WORK TOGETHER KIND 4500 02:45:14,472 --> 02:45:16,040 OF LIKE THE INTERNET WORKS 4501 02:45:16,040 --> 02:45:20,511 TOGETHER TO ENABLE WEBSITES AND 4502 02:45:20,511 --> 02:45:22,213 TOOLS THAT TALK TO YOUR CELL 4503 02:45:22,213 --> 02:45:23,881 PHONE AND THINGS LIKE THAT ALL 4504 02:45:23,881 --> 02:45:27,084 OF THAT WAS BUILT ON, BASED ON 4505 02:45:27,084 --> 02:45:28,419 STANDARDS AND IT'S VERY 4506 02:45:28,419 --> 02:45:29,654 FLEXIBLE. YOU CAN BUILD AND DO 4507 02:45:29,654 --> 02:45:31,055 WHATEVER YOU WANT TO DO WITH 4508 02:45:31,055 --> 02:45:32,290 THAT. BUT YOU KNOW, DEVELOPMENT 4509 02:45:32,290 --> 02:45:33,891 OF THOSE STANDARDS AND USING 4510 02:45:33,891 --> 02:45:36,127 THOSE STANDARDS IS REALLY, 4511 02:45:36,127 --> 02:45:40,031 REALLY IMPORTANT FOR US TO BE 4512 02:45:40,031 --> 02:45:42,500 ABLE TO SUPPORT ALL OF THE 4513 02:45:42,500 --> 02:45:46,170 THINGS THAT ARE IMPORTANT AGAIN, 4514 02:45:46,170 --> 02:45:47,672 WITHIN BIOMEDICAL RESEARCH AND I 4515 02:45:47,672 --> 02:45:49,574 THINK THAT TOUCHES EVERYTHING 4516 02:45:49,574 --> 02:45:51,776 THAT WE DO AND SO MY FIRST THING 4517 02:45:51,776 --> 02:45:55,046 IS THAT I THINK IT'S REALLY 4518 02:45:55,046 --> 02:45:57,014 IMPORTANT FOR INVESTIGATORS BOTH 4519 02:45:57,014 --> 02:45:59,450 INTRAMURAL AND EXTRAMURAL WORLD 4520 02:45:59,450 --> 02:46:00,985 TO BE FLUENT IN TECHNOLOGIES AS 4521 02:46:00,985 --> 02:46:02,820 THEY COME TO US BECAUSE I THINK 4522 02:46:02,820 --> 02:46:05,923 MAKING GOOD DECISIONS IN TERMS 4523 02:46:05,923 --> 02:46:07,058 OF WHAT TECHNOLOGIES WE USE TO 4524 02:46:07,058 --> 02:46:13,231 SUPPORT THE WORK THAT WE DO IS, 4525 02:46:13,231 --> 02:46:14,298 YOU KNOW, IS INCREDIBLY 4526 02:46:14,298 --> 02:46:17,268 IMPORTANT AND HAS A BIG IMPACT 4527 02:46:17,268 --> 02:46:18,970 IN THE WORK THAT WE DO. THE 4528 02:46:18,970 --> 02:46:20,037 FIRST THING IS FLUENCY. THE 4529 02:46:20,037 --> 02:46:22,340 SECOND THING IS HELPING SUPPORT 4530 02:46:22,340 --> 02:46:24,609 STANDARDS AND THEN THE THIRD 4531 02:46:24,609 --> 02:46:26,577 THING IS, YOU KNOW, THE THIRD 4532 02:46:26,577 --> 02:46:28,546 THING IS REALLY, YOU KNOW, 4533 02:46:28,546 --> 02:46:31,048 HELPING US NAVIGATE THIS 4534 02:46:31,048 --> 02:46:33,217 CHALLENGE OF THE INCREASE IN 4535 02:46:33,217 --> 02:46:35,586 COSTS OF IT, OF DATA AND OF AI 4536 02:46:35,586 --> 02:46:37,121 AND HOW DO WE SUPPORT THAT TO BE 4537 02:46:37,121 --> 02:46:40,057 ABLE TO, YOU KNOW, CONTINUE TO 4538 02:46:40,057 --> 02:46:42,994 ENABLE THE, YOU KNOW, THE 4539 02:46:42,994 --> 02:46:46,030 AMAZING RESEARCH THAT WE DO AND 4540 02:46:46,030 --> 02:46:50,434 THAT HAPPENS. 4541 02:46:50,434 --> 02:46:53,771 >> THANK YOU. OTHER QUESTIONS? 4542 02:46:53,771 --> 02:47:01,612 OR COMMENT SS? I JUST HAVE ONE 4543 02:47:01,612 --> 02:47:03,047 QUESTION OR WHAT YOU THINK ON 4544 02:47:03,047 --> 02:47:04,415 THIS TOPIC OF HAVING THESE WORK 4545 02:47:04,415 --> 02:47:05,950 ENVIRONMENTS IN THE CLOUD THAT 4546 02:47:05,950 --> 02:47:09,387 ARE SECURE AND YOU CAN USE 4547 02:47:09,387 --> 02:47:10,922 MULTIPLE SYSTEMS SIMULTANEOUSLY 4548 02:47:10,922 --> 02:47:14,592 WHAT ARE THE BIGGEST CHALLENGES 4549 02:47:14,592 --> 02:47:15,593 WHEN BUILDING SOMETHING LIKE 4550 02:47:15,593 --> 02:47:17,895 THAT TOO AND THE SECURITY ISSUES 4551 02:47:17,895 --> 02:47:19,563 INVOLVED WITH SOMETHING USING 4552 02:47:19,563 --> 02:47:20,231 THOSE ENVIRONMENTS? 4553 02:47:20,231 --> 02:47:23,034 >> NOWADAYS, YOU KNOW, THERE'S 4554 02:47:23,034 --> 02:47:26,137 SECURITY RISKS WITH EVERY SYSTEM 4555 02:47:26,137 --> 02:47:27,138 INCLUDING COMPUTERS THAT ARE 4556 02:47:27,138 --> 02:47:30,474 PHYSICAL UNDER YOUR DESK AND SO 4557 02:47:30,474 --> 02:47:33,477 ENSURING THAT YOU HAVE, YOU 4558 02:47:33,477 --> 02:47:34,545 KNOW, HAVE PROPERLY SECURED 4559 02:47:34,545 --> 02:47:36,847 WHATEVER IT IS THAT YOU USE IS 4560 02:47:36,847 --> 02:47:38,649 REALLY, REALLY CRITICAL AND 4561 02:47:38,649 --> 02:47:40,017 HAVING A GOOD FRIEND WHO'S -- 4562 02:47:40,017 --> 02:47:41,252 YOU KNOW, HAVING SOMEONE WHO YOU 4563 02:47:41,252 --> 02:47:44,555 WORK WITH WHO IS, YOU KNOW, 4564 02:47:44,555 --> 02:47:47,358 KNOWLEDGEABLE AND GOOD WITH 4565 02:47:47,358 --> 02:47:48,726 CYBERSECURITY IS IMPORTANT. IN 4566 02:47:48,726 --> 02:47:51,262 THE CLOUD, I THINK EVERYTHING 4567 02:47:51,262 --> 02:47:53,431 IS, IT'S DOABLE. I THINK THE 4568 02:47:53,431 --> 02:47:54,031 BIGGEST CHALLENGE IS AGAIN, 4569 02:47:54,031 --> 02:47:55,066 ADOPTION OF THESE STANDARDS. 4570 02:47:55,066 --> 02:47:59,036 AND ENABLING IT, YOU KNOW, 4571 02:47:59,036 --> 02:48:01,272 STANDARDS TO BE -- THESE 4572 02:48:01,272 --> 02:48:03,040 TECHNOLOGY IS RELATIVELY EASY TO 4573 02:48:03,040 --> 02:48:05,176 USE AND TO MAKING GOOD WHAT I 4574 02:48:05,176 --> 02:48:07,345 WOULD CALL GOOD BUSINESS CASES 4575 02:48:07,345 --> 02:48:08,579 FOR THEIR USE SO THAT MAKING 4576 02:48:08,579 --> 02:48:10,381 GOOD BUSINESS CASES FOR THEIR 4577 02:48:10,381 --> 02:48:12,583 USE SO THAT LEADERS THAT MAY NOT 4578 02:48:12,583 --> 02:48:14,986 BE IT OR INFORMATICS CAN PULL 4579 02:48:14,986 --> 02:48:19,056 THEM OFF THE SHELF AND USE THEM. 4580 02:48:19,056 --> 02:48:20,191 >> THANK YOU, AND FRANK? 4581 02:48:20,191 --> 02:48:22,994 >> YEAH, THANK YOU, REALLY 4582 02:48:22,994 --> 02:48:23,861 ENJOYED THAT PRESENTATION. AND 4583 02:48:23,861 --> 02:48:27,064 YOU KNOW, IT'LL BE INTERESTING 4584 02:48:27,064 --> 02:48:29,233 TO SEE MOVING FORWARD WITH THIS 4585 02:48:29,233 --> 02:48:30,701 IMPRESSIVE RESOURCE THAT YOU AND 4586 02:48:30,701 --> 02:48:31,769 YOUR TEAM ARE BUILDING. YOU 4587 02:48:31,769 --> 02:48:34,505 KNOW, HOW WELL THIS STAYS 4588 02:48:34,505 --> 02:48:35,906 INTEGRATED WITH THE 4589 02:48:35,906 --> 02:48:36,640 EXPERIMENTALISTS COMMUNITY, YOU 4590 02:48:36,640 --> 02:48:40,378 KNOW, I'M A SORT OF TRADITIONAL 4591 02:48:40,378 --> 02:48:42,747 WET LAB EXPERIMENT PERSON. AND 4592 02:48:42,747 --> 02:48:44,081 YOU KNOW I HIRED ONE DATA 4593 02:48:44,081 --> 02:48:48,352 SCIENTIST TO BE IN MY GROUP AND 4594 02:48:48,352 --> 02:48:50,454 I'M PART OF THE TREE AD WHICH 4595 02:48:50,454 --> 02:48:53,491 HAS GOOD DATA SCIENTISTS BUT I'M 4596 02:48:53,491 --> 02:48:56,193 HAVING TROUBLE GRASPING THIS 4597 02:48:56,193 --> 02:48:57,661 RESOURCE. AND IT'D BE 4598 02:48:57,661 --> 02:48:58,963 INTERESTING TO LOOK AT USE 4599 02:48:58,963 --> 02:49:01,132 PATTERNS, YOU KNOW, WHO IS USING 4600 02:49:01,132 --> 02:49:03,200 IT, HOW ARE THEY USING IT. AND 4601 02:49:03,200 --> 02:49:05,903 IS THERE ENOUGH INTEGRATION WITH 4602 02:49:05,903 --> 02:49:08,506 YOU KNOW PEOPLE THAT DO 4603 02:49:08,506 --> 02:49:10,808 EXPERIMENTS YOU KNOW TO MAKE 4604 02:49:10,808 --> 02:49:12,943 SURE TO FURTHER IMPROVE THESE 4605 02:49:12,943 --> 02:49:14,111 DATASETS SO I DON'T EVEN KNOW 4606 02:49:14,111 --> 02:49:16,347 HOW I MET, IF I AM ASKING THIS 4607 02:49:16,347 --> 02:49:20,818 QUESTION CORRECTLY BUT I AM 4608 02:49:20,818 --> 02:49:21,118 OVERWHELMED. 4609 02:49:21,118 --> 02:49:25,022 >> YEAH. I THINK IT'S OBVIOUSLY 4610 02:49:25,022 --> 02:49:27,058 IT'S COMPLEX AND COMPUTERS ARE 4611 02:49:27,058 --> 02:49:28,159 ALMOST EVERYTHING THAT WE DO 4612 02:49:28,159 --> 02:49:31,028 TODAY. NOWADAYS SO MUCH IN THE, 4613 02:49:31,028 --> 02:49:32,963 LIKE IN BUSINESS, FOR EXAMPLE, 4614 02:49:32,963 --> 02:49:34,965 OR IN LEADERSHIP YOU MAKE A 4615 02:49:34,965 --> 02:49:36,033 BUSINESS DECISION OR A 4616 02:49:36,033 --> 02:49:37,635 LEADERSHIP DECISION AND THEN YOU 4617 02:49:37,635 --> 02:49:38,269 TURN TO YOUR COMPUTER GUY AND 4618 02:49:38,269 --> 02:49:42,706 SAY MAKE IT HAPPEN. AND THAT 4619 02:49:42,706 --> 02:49:43,874 HAPPENS A LOT AND SO I THINK, 4620 02:49:43,874 --> 02:49:45,276 YOU KNOW, HAVING A GOOD 4621 02:49:45,276 --> 02:49:46,677 UNDERSTANDING OF TECHNOLOGY OF 4622 02:49:46,677 --> 02:49:48,512 WHERE IT'S USEFUL OR IT MAKES 4623 02:49:48,512 --> 02:49:49,713 SENSE, WHERE IT DOESN'T MAKE 4624 02:49:49,713 --> 02:49:50,581 SENSE IS REALLY, REALLY 4625 02:49:50,581 --> 02:49:52,016 IMPORTANT AND I THINK ONE OF THE 4626 02:49:52,016 --> 02:49:53,384 INITIATIVES THAT I'M REALLY 4627 02:49:53,384 --> 02:49:55,619 FOCUSED ON IS TRYING TO HELP 4628 02:49:55,619 --> 02:49:59,056 WHAT I CALL IMPROVE FLUENCY OF 4629 02:49:59,056 --> 02:50:01,392 COMPUTING AND TECHNOLOGY MOPS 4630 02:50:01,392 --> 02:50:03,027 AMONGST INCLUDING EXPERIMENTAL 4631 02:50:03,027 --> 02:50:03,461 SCIENTISTS. 4632 02:50:03,461 --> 02:50:05,996 I LED INFORMATICS AT THE BUCK 4633 02:50:05,996 --> 02:50:06,697 INSTITUTE DOING BASIC RESEARCH 4634 02:50:06,697 --> 02:50:12,002 OF AGING WHICH IS A BUNCH OF LAB 4635 02:50:12,002 --> 02:50:13,604 AND IS HELP WITH EXPERIMENTAL 4636 02:50:13,604 --> 02:50:15,806 LABORATORY MY WHOLE YEAR. I 4637 02:50:15,806 --> 02:50:16,640 UNDERSTAND THAT. THAT 4638 02:50:16,640 --> 02:50:18,008 ENVIRONMENT AND I UNDERSTAND THE 4639 02:50:18,008 --> 02:50:21,712 CHALLENGES WITH THAT. I THINK, 4640 02:50:21,712 --> 02:50:24,014 YOU KNOW, I DIDN'T GO THROUGH 4641 02:50:24,014 --> 02:50:28,819 THE LAST TWO SLIDES I HAD TO 4642 02:50:28,819 --> 02:50:31,088 SKIP OVER BUT ONE OF THE AREAS 4643 02:50:31,088 --> 02:50:33,057 OF PRIORITY FOR EXAMPLE IS 4644 02:50:33,057 --> 02:50:34,925 CONNECTING EXPERIMENTAL CORE 4645 02:50:34,925 --> 02:50:36,694 FACILITY TYPE SERVICES BETTER 4646 02:50:36,694 --> 02:50:37,495 USING TECHNOLOGY WITH THE 4647 02:50:37,495 --> 02:50:38,729 EXPERIMENTAL RESEARCHERS THAT 4648 02:50:38,729 --> 02:50:41,265 ARE GETTING ACCESS TO THAT SO IF 4649 02:50:41,265 --> 02:50:45,102 SOMEONE IS DOING GENOMICS OR 4650 02:50:45,102 --> 02:50:47,037 PROTEIN OR ANY OTHER PROTEOMIC 4651 02:50:47,037 --> 02:50:48,005 THINGS LIKE THAT THAT THEY 4652 02:50:48,005 --> 02:50:49,340 WOULD, THAT, YOU KNOW, WE HELP 4653 02:50:49,340 --> 02:50:51,342 SUPPORT KIND OF OPEN 4654 02:50:51,342 --> 02:50:53,043 TECHNOLOGIES TO ENABLE THEM TO 4655 02:50:53,043 --> 02:50:54,712 NOT HAVE TO REBUILD EVERY SINGLE 4656 02:50:54,712 --> 02:50:57,381 TIME THEY WANT TO BUILD A 4657 02:50:57,381 --> 02:50:59,049 SERVICE, AN AI TECHNOLOGY TO 4658 02:50:59,049 --> 02:51:00,651 HELP GET YOU THE DATA THAT YOU 4659 02:51:00,651 --> 02:51:02,286 NEED WHEN YOU LEVERAGE ONE OF 4660 02:51:02,286 --> 02:51:05,389 THOSE SERVICES. THAT'S JUST 4661 02:51:05,389 --> 02:51:07,057 KIND OF ONE EXAMPLE BUT THERE 4662 02:51:07,057 --> 02:51:10,661 ARE, YEAH, THERE ARE MANY. AND 4663 02:51:10,661 --> 02:51:14,298 I THINK WE HAVE A STRATEGY OF, 4664 02:51:14,298 --> 02:51:16,634 YOU KNOW, MAKING DATA FAIR FOR 4665 02:51:16,634 --> 02:51:18,002 EXAMPLE, THAT'S A VERY COMMONLY 4666 02:51:18,002 --> 02:51:20,938 USED TERM. FINDABLE, 4667 02:51:20,938 --> 02:51:22,773 ACCESSIBLE, INTEROPERABLE, 4668 02:51:22,773 --> 02:51:23,440 REUSABLE, UNDERNEATH THAT 4669 02:51:23,440 --> 02:51:25,075 THERE'S A LOT OF TECHNOLOGY THAT 4670 02:51:25,075 --> 02:51:26,443 NEEDS TO BE IN PLACE FOR THAT TO 4671 02:51:26,443 --> 02:51:28,879 WORK AND IF WE DON'T DO IT IN A 4672 02:51:28,879 --> 02:51:31,048 COORDINATED WAY IT'LL BE 4673 02:51:31,048 --> 02:51:32,483 INCREDIBLY EXPENSIVE AND WE'LL 4674 02:51:32,483 --> 02:51:34,084 HAVE I THINK LESS, YOU KNOW, 4675 02:51:34,084 --> 02:51:36,153 LESS RESOURCES WILL BE AVAILABLE 4676 02:51:36,153 --> 02:51:38,923 FOR EXAMPLE EXPERIMENTAL 4677 02:51:38,923 --> 02:51:40,191 RESEARCHERS OR ANY RESEARCHER TO 4678 02:51:40,191 --> 02:51:42,426 DO THE WORK THAT THEY NEED TO 4679 02:51:42,426 --> 02:51:42,826 DO. 4680 02:51:42,826 --> 02:51:44,295 >> THANK YOU, YEAH, I APPRECIATE 4681 02:51:44,295 --> 02:51:46,363 YOUR BACKGROUND AND AWARENESS IN 4682 02:51:46,363 --> 02:51:48,566 THAT. I JUST VISITED THE BUCK 4683 02:51:48,566 --> 02:51:50,534 CENTER LAST WEEK BUT I THINK 4684 02:51:50,534 --> 02:51:52,236 THIS ITERATIVE PROCESS FROM THE 4685 02:51:52,236 --> 02:51:54,071 DATA SCIENCE AND AI GOING BACK 4686 02:51:54,071 --> 02:51:56,540 AND FORTH BETWEEN EXPERIMENTS 4687 02:51:56,540 --> 02:52:00,744 IS, WILL BE HEALTHY AND 4688 02:52:00,744 --> 02:52:01,011 IMPORTANT. 4689 02:52:01,011 --> 02:52:04,682 >> AGREED. 100%. 4690 02:52:04,682 --> 02:52:06,050 >> ALL RIGHT. WELL, THANK YOU 4691 02:52:06,050 --> 02:52:09,220 VERY MUCH, AGAIN, SEAN, WE 4692 02:52:09,220 --> 02:52:10,287 REALLY APPRECIATE THAT, 4693 02:52:10,287 --> 02:52:11,889 ACTUALLY, REALLY, INTERESTING 4694 02:52:11,889 --> 02:52:13,958 FANTASTIC TALK. SO THANK YOU 4695 02:52:13,958 --> 02:52:16,427 FOR PRESENTING. 4696 02:52:16,427 --> 02:52:18,095 >> THANK YOU SO MUCH. 4697 02:52:18,095 --> 02:52:19,063 >> THANK YOU, SEAN. 4698 02:52:19,063 --> 02:52:22,366 >> SO I THINK AT THIS POINT THAT 4699 02:52:22,366 --> 02:52:26,470 WILL CONCLUDE OUR 155TH NATIONAL 4700 02:52:26,470 --> 02:52:27,338 ADVISORY COUNCIL ON AGING SO 4701 02:52:27,338 --> 02:52:29,440 RICHARD, YOU WANT TO SAY SOME 4702 02:52:29,440 --> 02:52:30,941 FINAL WORDS? 4703 02:52:30,941 --> 02:52:32,776 >> RICHARD: THANK YOU EVERYONE 4704 02:52:32,776 --> 02:52:34,578 FOR PRODUCTIVE ACCELERATED BUT 4705 02:52:34,578 --> 02:52:38,349 REMOTE MEETING KEN IF WE DARE 4706 02:52:38,349 --> 02:52:39,483 SAY WE'RE LOOKING FORWARD TO 4707 02:52:39,483 --> 02:52:40,784 SEPTEMBER IN-PERSON. 4708 02:52:40,784 --> 02:52:42,519 >> THAT'S RIGHT. WE GOT OUR 4709 02:52:42,519 --> 02:52:44,021 APPROVAL TO TRAVEL SO WE CAN GET 4710 02:52:44,021 --> 02:52:46,290 YOU ALL HERE. SO WE'RE GOING TO 4711 02:52:46,290 --> 02:52:49,126 SET IT UP AND WE'LL SEE YOU ALL 4712 02:52:49,126 --> 02:52:50,194 IN SEPTEMBER. YES. 4713 02:52:50,194 --> 02:52:51,595 >> THANKS FOR THE CHANCE TO WORK 4714 02:52:51,595 --> 02:52:53,631 WITH YOU ALL IN THE MEANTIME. 4715 02:52:53,631 --> 02:52:53,998 >> THANK YOU. 4716 02:52:53,998 --> 02:52:54,765 >> BYE. 4717 02:52:54,765 --> 02:52:55,733 >> HAVE A GREAT DAY. 4718 02:52:55,733 --> 02:52:59,136 >> THANK YOU, BYE. 4719 02:52:59,136 --> 02:53:09,280 >> BYE.