1 00:00:05,506 --> 00:00:10,077 WELL, WELCOME TO THIS GATHERING 2 00:00:10,077 --> 00:00:14,515 OF THE 310th GATHERING OF THE 3 00:00:14,515 --> 00:00:16,116 NATIONAL HEART LUNG AND BLOOD 4 00:00:16,116 --> 00:00:16,483 INSTITUTE. 5 00:00:16,483 --> 00:00:18,085 WE APPRECIATE YOUR COUNCIL, 6 00:00:18,085 --> 00:00:20,154 SHARING THEIR WISDOM AND THEIR 7 00:00:20,154 --> 00:00:23,757 TIME WITH US AS PART OF THEIR 8 00:00:23,757 --> 00:00:24,825 DELIBERATIONS AND WITHOUT 9 00:00:24,825 --> 00:00:28,329 FURTHER ADO LET ME TURN IT OVER 10 00:00:28,329 --> 00:00:33,400 TO OUR EXECUTIVE SECRETARY 11 00:00:33,400 --> 00:00:34,835 DR. CHARISEE LAMAR AND CALL US 12 00:00:34,835 --> 00:00:35,269 TO ORDER. 13 00:00:35,269 --> 00:00:37,338 >> THANK YOU DR. GIBBONS. 14 00:00:37,338 --> 00:00:40,641 GOOD MORNING AND WELCOME 15 00:00:40,641 --> 00:00:40,941 EVERYONE. 16 00:00:40,941 --> 00:00:43,143 THIS 310th MEETING OF THE 17 00:00:43,143 --> 00:00:44,545 ADVISORY MEETING OPEN SESSION, 18 00:00:44,545 --> 00:00:46,780 NOTICE WAS PUBLISHED IN THE 19 00:00:46,780 --> 00:00:47,948 FEDERAL REGISTER, THE MEETING IS 20 00:00:47,948 --> 00:00:49,950 BEING RECORDED AND THE VIDEO 21 00:00:49,950 --> 00:00:51,352 WILL BE ARCHIVED AND REMAIN 22 00:00:51,352 --> 00:00:53,988 AVAILABLE TO THE PUBLIC AND NIH 23 00:00:53,988 --> 00:00:54,288 COLLEAGUES. 24 00:00:54,288 --> 00:00:57,625 AS WE REVIEW OUR AGENDA ITEMS 25 00:00:57,625 --> 00:01:00,327 TODAY, WE WILL START OFF AFTER 26 00:01:00,327 --> 00:01:01,495 MY ADMINISTRATE OF ANNOUNCEMENTS 27 00:01:01,495 --> 00:01:03,030 WITH THE DIRECTOR'S REPORT, WE 28 00:01:03,030 --> 00:01:04,398 WILL HAVE A 30 MINUTE BREAK FOR 29 00:01:04,398 --> 00:01:08,269 LUNCH, WE WILL HAVE THE 30 00:01:08,269 --> 00:01:09,570 TRIENNIAL REPORT INCLUSION 31 00:01:09,570 --> 00:01:14,508 REPORT FOLLOWED BY A 32 00:01:14,508 --> 00:01:18,445 PRESENTATION NIH CIT ENABLING 33 00:01:18,445 --> 00:01:19,780 ACCESS AND INNOVATION WITH 34 00:01:19,780 --> 00:01:20,581 ADVANCED TECHNOLOGY. 35 00:01:20,581 --> 00:01:24,652 I WILL GIVE AN OVER VIEW OF 36 00:01:24,652 --> 00:01:26,387 TEABING AN NHLBI AI WORKING 37 00:01:26,387 --> 00:01:27,888 GROUP AND THEN I WILL ALSO 38 00:01:27,888 --> 00:01:32,626 FOLLOW UP WITH THE REVIEW AND 39 00:01:32,626 --> 00:01:33,460 AUTHORITY DELEGATIONS OF AI AND 40 00:01:33,460 --> 00:01:34,728 THEN WE WILL HAVE A BRIEF 41 00:01:34,728 --> 00:01:36,430 DISCUSSION AND FOLLOW WITH 42 00:01:36,430 --> 00:01:36,797 ADJOURNMENT. 43 00:01:36,797 --> 00:01:38,532 SO WITH THAT, AND WITHOUT 44 00:01:38,532 --> 00:01:40,734 FURTHER ADO, WE WILL MOVE TO THE 45 00:01:40,734 --> 00:01:47,708 DIRECTOR'S REPORT WITH 46 00:01:47,708 --> 00:01:57,251 DR. GIBBONS. 47 00:01:57,251 --> 00:02:01,922 >> CAN YOU HEAR ME OKAY? 48 00:02:01,922 --> 00:02:02,323 >> YES. 49 00:02:02,323 --> 00:02:06,193 >> NEXT SLIDE, PLEASE. 50 00:02:06,193 --> 00:02:12,800 NEXT SLIDE, PLEASE. 51 00:02:12,800 --> 00:02:14,735 SO FIRST OUR ACCOUNTABLE 52 00:02:14,735 --> 00:02:15,703 STEWARDSHIP UPDATE. 53 00:02:15,703 --> 00:02:18,605 AS YOU'RE AWARE, CONGRESS IS PUT 54 00:02:18,605 --> 00:02:22,609 IN A FULL YEAR CONTINUING 55 00:02:22,609 --> 00:02:22,910 RESOLUTION. 56 00:02:22,910 --> 00:02:24,979 THIS IS A BIT UNUSUAL THAT WE 57 00:02:24,979 --> 00:02:27,681 DON'T HAVE A FORMAL 58 00:02:27,681 --> 00:02:31,218 APPROPRIATION IN FY25 AND SO 59 00:02:31,218 --> 00:02:34,555 IT'S BASICALLY CONTINUES THE 60 00:02:34,555 --> 00:02:36,390 GUIDANCE FROM CONGRESS FROM 24 61 00:02:36,390 --> 00:02:41,161 AND EXTENDS IT TO 25. 62 00:02:41,161 --> 00:02:43,697 AND SO WE'RE FLAT, RELATIVELY 63 00:02:43,697 --> 00:02:46,500 SPEAKING TO THAT 24 MARK. 64 00:02:46,500 --> 00:02:57,011 AND WE'RE SIDE WE HAVE A GREAT 65 00:05:01,368 --> 00:05:03,370 OPPORTUNITY TO EMBRACE NEW 66 00:05:03,370 --> 00:05:07,474 LEADERSHIP OF DIVISION OF 67 00:05:07,474 --> 00:05:08,876 CARDIOVASCULAR SCIENCES AND 68 00:05:08,876 --> 00:05:10,043 WE'RE GRATEFUL THAT THESE 69 00:05:10,043 --> 00:05:12,679 LEADERS ARE STEPPING UP INTO 70 00:05:12,679 --> 00:05:15,115 THIS CHALLENGE AND OPPORTUNITY, 71 00:05:15,115 --> 00:05:17,284 APPRECIATE IN PARTICULAR 72 00:05:17,284 --> 00:05:20,487 DR. GINA WEI WHO IS SERVING AS 73 00:05:20,487 --> 00:05:23,323 ACTING DIRECTOR AS WE PURSUE A 74 00:05:23,323 --> 00:05:26,493 NATIONAL SEARCH FOR THAT, AND 75 00:05:26,493 --> 00:05:27,861 SHE'S JOINED BY A GREAT 76 00:05:27,861 --> 00:05:29,596 LEADERSHIP TEAM THAT YOU SEE 77 00:05:29,596 --> 00:05:35,435 HERE WHO ARE FILLING IN THE 78 00:05:35,435 --> 00:05:39,306 ASSOCIATE DIRECTOR ROLES 79 00:05:39,306 --> 00:05:41,341 DR. SACHDEV AND REDMONITORED AND 80 00:05:41,341 --> 00:05:43,510 OLIVE ARE AGAIN PROVIDING 81 00:05:43,510 --> 00:05:44,578 IMPORTANT STEWARDSHIP AND 82 00:05:44,578 --> 00:05:46,680 LEADERSHIP. 83 00:05:46,680 --> 00:05:47,314 NEXT SLIDE, PLEASE. 84 00:05:47,314 --> 00:05:50,017 TOWARD THAT END LET ME PIVOT TO 85 00:05:50,017 --> 00:05:51,251 THE SCIENTIFIC PRIORITIES. 86 00:05:51,251 --> 00:05:57,224 NEXT SLIDE IN WHICH WE CONTINUE 87 00:05:57,224 --> 00:06:01,595 TO PURSUE A LOT OF OUR ENDURING 88 00:06:01,595 --> 00:06:03,997 PRINCIPLES AS WE BEGIN TO REALLY 89 00:06:03,997 --> 00:06:05,933 LAUNCH THE STRATEGIC VISION 90 00:06:05,933 --> 00:06:06,400 REFRESH. 91 00:06:06,400 --> 00:06:10,137 THAT'S IN ITS FINAL STAGES AND 92 00:06:10,137 --> 00:06:14,308 WE WILL BE, I BELIEVE, RELEASED 93 00:06:14,308 --> 00:06:16,276 SOON IN THE NEXT COUPLE OF 94 00:06:16,276 --> 00:06:19,046 MONTHS THAT WE ARE HAVE BEEN 95 00:06:19,046 --> 00:06:20,614 PARTICIPATING IN WITH COUNCIL 96 00:06:20,614 --> 00:06:23,884 AND THE COMMUNITY TO SHAPE THAT 97 00:06:23,884 --> 00:06:25,752 AND SO I THINK WHAT YOU WILL 98 00:06:25,752 --> 00:06:28,021 FIND AS YOU SEE THAT FINAL 99 00:06:28,021 --> 00:06:32,092 PRODUCT, IS IN MANY WAYS A 100 00:06:32,092 --> 00:06:35,562 REAFFIRMATION OF THE STRATEGIC 101 00:06:35,562 --> 00:06:41,134 VISION GOALS, OF UNDERSTANDING 102 00:06:41,134 --> 00:06:43,170 HUMAN BIOLOGY, REDUCING HUMAN 103 00:06:43,170 --> 00:06:47,274 DISEASE, DEVELOPING A WORKFORCE 104 00:06:47,274 --> 00:06:51,078 AND RESOURCES AND ADVANCING THE 105 00:06:51,078 --> 00:06:52,546 TRANSLATION OF THAT RESEARCH TO 106 00:06:52,546 --> 00:06:55,249 HAVE HIGH HEALTH IMPACT AND 107 00:06:55,249 --> 00:06:58,418 PROVIDE THE HEALTH FOR ALL. 108 00:06:58,418 --> 00:07:01,822 AND THAT WAY CONTINUING WITH OUR 109 00:07:01,822 --> 00:07:05,425 ENDURING PRINCIPLES AND OUR 110 00:07:05,425 --> 00:07:08,695 MISSION THAT WE BELIEVE IS WELL 111 00:07:08,695 --> 00:07:10,097 ALIGNED WITH THE NEW 112 00:07:10,097 --> 00:07:13,066 ADMINISTRATION AS IT HAS BEEN 113 00:07:13,066 --> 00:07:14,801 WITH PRIOR ADMINISTRATIONS 114 00:07:14,801 --> 00:07:17,804 INCLUDING THE FIRST VERSION OF 115 00:07:17,804 --> 00:07:18,705 ITS ADMINISTRATION. 116 00:07:18,705 --> 00:07:22,075 SO WE'RE VERY EXCITED TO ALIGN 117 00:07:22,075 --> 00:07:23,010 WITH THOSE AGENDAS, PARTICULARLY 118 00:07:23,010 --> 00:07:25,946 TO THE DEGREE TO WHICH WE 119 00:07:25,946 --> 00:07:30,150 UNDERSTAND AN EMPHASIS ON 120 00:07:30,150 --> 00:07:31,551 ADDRESSING THE EMERGING 121 00:07:31,551 --> 00:07:32,786 CHALLENGES OF CHRONIC DISEASE 122 00:07:32,786 --> 00:07:34,221 AND OBVIOUSLY THAT'S BEEN AN 123 00:07:34,221 --> 00:07:38,158 ESSENTIAL PART OF THE MISSION OF 124 00:07:38,158 --> 00:07:40,594 NHLBI FOR THE LAST 75 YEARS 125 00:07:40,594 --> 00:07:42,496 THROUGH MANY ADMINISTRATIONS AND 126 00:07:42,496 --> 00:07:45,699 THEREFORE WE ARE CONFIDENT AND 127 00:07:45,699 --> 00:07:47,601 QUITE OPTIMISTIC THAT MOVING 128 00:07:47,601 --> 00:07:51,138 FORWARD WE CAN CONTINUE TO 129 00:07:51,138 --> 00:07:54,741 PURSUE THAT RESEARCH AGENDA WITH 130 00:07:54,741 --> 00:07:55,575 ALIGNMENT OF RESEARCH PRIORITIES 131 00:07:55,575 --> 00:07:58,412 THAT ARE IN OUR STRATEGIC VISION 132 00:07:58,412 --> 00:08:00,047 REFRESH IN PARTICULAR JUST TO 133 00:08:00,047 --> 00:08:02,549 HIGHLIGHT A COUPLE OF THEMES OF 134 00:08:02,549 --> 00:08:04,718 ENHANCING HEART LUNG AND BLOOD 135 00:08:04,718 --> 00:08:06,119 SLEEP, HEALTH THROUGH PREVENTION 136 00:08:06,119 --> 00:08:07,454 AND EARLIER INTERVENTION, I 137 00:08:07,454 --> 00:08:11,158 BELIEVE IS VERY CONSISTENT WITH 138 00:08:11,158 --> 00:08:13,393 NOT ONLY THE PRIORITIES OF PRIOR 139 00:08:13,393 --> 00:08:18,732 ADMINISTRATIONS BUT THIS 1 AS 140 00:08:18,732 --> 00:08:18,932 WELL. 141 00:08:18,932 --> 00:08:20,867 AND WE LOOK FORWARD TO EMBRACING 142 00:08:20,867 --> 00:08:22,002 THE CHALLENGE AND OPPORTUNITY OF 143 00:08:22,002 --> 00:08:24,504 A CONCEPT THAT WE'VE BEEN 144 00:08:24,504 --> 00:08:28,809 PURSUING FOR THE LAST REALLY 10 145 00:08:28,809 --> 00:08:30,377 YEARS TO PREEMPT CHRONIC DISEASE 146 00:08:30,377 --> 00:08:33,680 THROUGH INTEGRATED SYSTEMS 147 00:08:33,680 --> 00:08:36,450 BIOLOGY AND NEW TECHNOLOGIES OF 148 00:08:36,450 --> 00:08:37,184 INNOVATION PARTICULARLY WITH AI 149 00:08:37,184 --> 00:08:47,894 SUCH THAT WE ARE ABLE TO DETECT 150 00:08:47,894 --> 00:08:50,364 DISEASE ACROSS CRON NICK 151 00:08:50,364 --> 00:08:51,732 DISORDERS IN THE SPEBLGHT RUM, 152 00:08:51,732 --> 00:08:55,635 SO WE BELIEVE IN MANY WAYS OUR 153 00:08:55,635 --> 00:09:03,777 ENDURING PRINCIPLES AND 154 00:09:03,777 --> 00:09:06,046 STRATEGIC GOALS AND MISSIONS ARE 155 00:09:06,046 --> 00:09:09,082 IN LIEN WITH THE NEW ADMISSION 156 00:09:09,082 --> 00:09:12,853 AND THE NEW DIRECTOR TALKED TO 157 00:09:12,853 --> 00:09:14,755 US WITH THAT VISION. 158 00:09:14,755 --> 00:09:15,389 NEXT SLIDE, PLEASE. 159 00:09:15,389 --> 00:09:16,690 TOWARD THAT END WE ALWAYS FOCUS 160 00:09:16,690 --> 00:09:20,427 ON THE SCIENCE AND THE DATA TO 161 00:09:20,427 --> 00:09:21,962 DRIVE OUR PRIORITIES BOTH 162 00:09:21,962 --> 00:09:23,764 RECOGNIZING THE CRITICAL 163 00:09:23,764 --> 00:09:25,165 CHALLENGES, THE COMPELLING 164 00:09:25,165 --> 00:09:26,733 QUESTIONS, MOST IMPORTANTLY THE 165 00:09:26,733 --> 00:09:32,372 OPPORTUNITY AND SO IT HAS BEEN 166 00:09:32,372 --> 00:09:34,508 NOTED THAT THE UNITED STATES OUR 167 00:09:34,508 --> 00:09:36,209 ONGOING AND GROWTH LIFE 168 00:09:36,209 --> 00:09:39,513 EXPECTANCY THAT'S GONE ON FOR 169 00:09:39,513 --> 00:09:40,714 DECADES QUITE FRANKLY REFLECTIVE 170 00:09:40,714 --> 00:09:43,850 OF PRIOR INVEST AMS IN NIH 171 00:09:43,850 --> 00:09:48,455 FUNDED RESEARCH HAS DRIVEN THAT 172 00:09:48,455 --> 00:09:49,623 LIFE EXPECTANCY RISE AND 173 00:09:49,623 --> 00:09:53,460 RECOGNIZE THAT THERE HAS BEEN AN 174 00:09:53,460 --> 00:09:56,096 INCREASING GAP WITH NATIONS OF 175 00:09:56,096 --> 00:09:59,366 COMPARABLE WEALTH AND INCOME AND 176 00:09:59,366 --> 00:09:59,733 DEVELOPMENT. 177 00:09:59,733 --> 00:10:03,170 AND SO WE HAVE BEEN CONCERNED 178 00:10:03,170 --> 00:10:07,974 ABOUT THAT SLOWING RATE AND 179 00:10:07,974 --> 00:10:09,910 INDEED THE RECOGNITION IN MANY 180 00:10:09,910 --> 00:10:13,480 COMMUNITIES AND POPULATIONS IT'S 181 00:10:13,480 --> 00:10:14,347 FLATTENED OUT SIGNIFICANTLY. 182 00:10:14,347 --> 00:10:21,421 AND THAT REFLECTS IN MANY CASES 183 00:10:21,421 --> 00:10:24,157 THE ONSET AND COMPOUNDING 184 00:10:24,157 --> 00:10:24,891 CO-MORBIDITIES OF CERTAIN 185 00:10:24,891 --> 00:10:26,593 CHRONIC DISEASES AND CHRONIC 186 00:10:26,593 --> 00:10:28,795 CONDITIONS WHICH OF CLEARLY 187 00:10:28,795 --> 00:10:30,163 PROBABLY THE OBESITY EPIDEMIC 188 00:10:30,163 --> 00:10:31,798 OVER THE LAST COUPLE OF DECADES 189 00:10:31,798 --> 00:10:35,035 HAS STARTED TO MAKE THAT 190 00:10:35,035 --> 00:10:36,970 CONTRIBUTION AND MANIFEST, 191 00:10:36,970 --> 00:10:44,478 PARTICULARLY IN YOUNGER ADULTS. 192 00:10:44,478 --> 00:10:45,312 NEXT SLIDE, PLEASE. 193 00:10:45,312 --> 00:10:47,848 WHICH YOU SAW IN THE PREVIOUS 194 00:10:47,848 --> 00:10:50,016 SLIDE, IN YOUNGER ADULTS IS 195 00:10:50,016 --> 00:10:52,152 HAVING GREATER THAN 2 CHRONIC 196 00:10:52,152 --> 00:10:52,786 CONDITIONS. 197 00:10:52,786 --> 00:10:53,687 IT'S QUITE REMARKABLE SO AS WE 198 00:10:53,687 --> 00:10:55,422 THINK THROUGH THAT POPULATION 199 00:10:55,422 --> 00:10:57,157 AND THE VARIANCE AND 200 00:10:57,157 --> 00:11:01,094 HETEROGENEITY OF THE AMERICAN 201 00:11:01,094 --> 00:11:04,130 POPULATION WITH REGARD TO 202 00:11:04,130 --> 00:11:06,533 ACHIEVING FURTHER EXTENSIONS OF 203 00:11:06,533 --> 00:11:07,501 LIFE EXPECTANCYS, WE RECOGNIZE 204 00:11:07,501 --> 00:11:09,102 THAT THERE'S QUITE A BIT OF 205 00:11:09,102 --> 00:11:11,204 VARIANCE BY DEFINITE SEGMENTS OF 206 00:11:11,204 --> 00:11:14,574 OUR POPULATION AND YOU CAN SEE 207 00:11:14,574 --> 00:11:19,446 THAT VARIANCE AND IN PARTICULAR 208 00:11:19,446 --> 00:11:22,082 SOME GROUPS WHERE IT'S CLEARLY 209 00:11:22,082 --> 00:11:23,149 GOING THE WRONG DIRECTION 210 00:11:23,149 --> 00:11:24,985 PARTICULARLY WITH REGARD TO THE 211 00:11:24,985 --> 00:11:27,254 FIRST AMERICANS, NATIVE 212 00:11:27,254 --> 00:11:29,356 AMERICANS, AMERICAN INDIAN 213 00:11:29,356 --> 00:11:29,723 POPULATIONS. 214 00:11:29,723 --> 00:11:33,126 CERTAINLY AFTER AMERICAN 215 00:11:33,126 --> 00:11:34,761 POPULATIONS HAVE ALSO HAD 216 00:11:34,761 --> 00:11:36,563 CHALLENGES IN THE RATE OF GROWTH 217 00:11:36,563 --> 00:11:39,299 OF THAT LIFE EXPECTANCY CURVE. 218 00:11:39,299 --> 00:11:42,702 AND SO CLEARLY THERE WILL BE A 219 00:11:42,702 --> 00:11:45,138 CRITICAL NEED TO ADDRESS THIS 220 00:11:45,138 --> 00:11:48,675 HETEROGENEITY AND INDEED PERHAPS 221 00:11:48,675 --> 00:11:50,977 THE -- A KEY PART OF PUTTING OUR 222 00:11:50,977 --> 00:11:53,079 COUNTRY BACK IN A LEADERSHIP 223 00:11:53,079 --> 00:11:57,217 ROLE OF EXTENDING LIFE 224 00:11:57,217 --> 00:11:58,752 EXPECTANCY AND MAKING THE 225 00:11:58,752 --> 00:11:59,553 RESEARCH INVESTMENTS NECESSARY 226 00:11:59,553 --> 00:12:02,856 TO SPEED AND ACCELERATE THAT 227 00:12:02,856 --> 00:12:04,658 EXTENSION, WE MAY NEED TO 228 00:12:04,658 --> 00:12:06,860 PARTICULARLY TARGET THOSE 229 00:12:06,860 --> 00:12:09,996 COMMUNITIES AND POPULATIONS THAT 230 00:12:09,996 --> 00:12:13,099 ARE LAGGING BEHIND FOR FURTHER 231 00:12:13,099 --> 00:12:23,343 INTERVENTION. 232 00:12:24,377 --> 00:12:24,744 NEXT SLIDE, PLEASE. 233 00:12:24,744 --> 00:12:29,382 AND AGAIN WHEN IT COMES TO 234 00:12:29,382 --> 00:12:30,116 HETEROGENERATED AIC DISEASE, IT 235 00:12:30,116 --> 00:12:33,186 MATTERS AND THE PLACE IS EVIDENT 236 00:12:33,186 --> 00:12:34,788 BY THE PREVALENCE OF THESE 237 00:12:34,788 --> 00:12:37,123 VARIOUS CONDITIONS AND PERHAPS 238 00:12:37,123 --> 00:12:39,025 PRECURSORS OF THIS PANDEMIC OF 239 00:12:39,025 --> 00:12:39,459 CHRONIC DISEASE. 240 00:12:39,459 --> 00:12:46,399 AND SO IF WE WANT OUR NATION TO 241 00:12:46,399 --> 00:12:49,269 BE HEALTHIER AND HAVE THRIVING 242 00:12:49,269 --> 00:12:50,570 COMMUNITIES IT BEHOOVES US BY 243 00:12:50,570 --> 00:12:52,539 THE DATA TO RECOGNIZE THAT THIS 244 00:12:52,539 --> 00:12:54,908 PROBABLY IS NOT REFLECTIVE OF A 245 00:12:54,908 --> 00:12:58,111 STRONG GENETIC SIGNAL THAT 246 00:12:58,111 --> 00:12:59,379 EXPLAINS THESE OUTCOMES AND 247 00:12:59,379 --> 00:13:03,550 PROBABLY REFLECTS MORE OF THE 248 00:13:03,550 --> 00:13:06,052 LOCAL CONTEXT WHETHER THAT'S 249 00:13:06,052 --> 00:13:08,121 SOCIAL DETERMINANTS OF HEALTH OR 250 00:13:08,121 --> 00:13:09,189 OTHER ENVIRONMENT EXPOSURES THAT 251 00:13:09,189 --> 00:13:13,560 APPEARS TO BE DRIVING THESE 252 00:13:13,560 --> 00:13:16,196 CHRONIC CONDITIONS AND IT'S NOTE 253 00:13:16,196 --> 00:13:20,033 WORTHY THAT FOOD INSECURITY ALSO 254 00:13:20,033 --> 00:13:22,769 OVERLAPS WITH THIS SUGGESTING 255 00:13:22,769 --> 00:13:25,505 AGAIN SOCIAL DETERMINANTS MAY BE 256 00:13:25,505 --> 00:13:28,141 CRITICAL ROOT ELEMENTS OF IT AND 257 00:13:28,141 --> 00:13:31,745 RECOGNIZING THIS SORT OF 258 00:13:31,745 --> 00:13:36,216 MULTILAYERED AND MULTILEVEL 259 00:13:36,216 --> 00:13:37,050 CONTRIBUTIONS ALSO PROBABLY 260 00:13:37,050 --> 00:13:39,386 SUGGESTS HOW WE MAY NEED TO 261 00:13:39,386 --> 00:13:43,456 ADDRESS THIS IN A COMPARABLY 262 00:13:43,456 --> 00:13:44,324 MULTILEVEL, MULTIPRONG WAY MAY 263 00:13:44,324 --> 00:13:46,526 BE NECESSARY TO CHANGE THESE 264 00:13:46,526 --> 00:13:47,227 CURVES. 265 00:13:47,227 --> 00:13:50,330 NEXT SLIDES. 266 00:13:50,330 --> 00:13:53,033 TOWARD THAT END, IT'S VALUABLE 267 00:13:53,033 --> 00:13:56,836 TO CONSIDER THAT INNER PLAY 268 00:13:56,836 --> 00:13:58,605 BETWEEN THE SUSCEPTIBILITYS TO 269 00:13:58,605 --> 00:13:59,539 CHRONIC DISEASES PARTICULARLY 270 00:13:59,539 --> 00:14:00,607 RELATED TO GENETIC RISK AS WE 271 00:14:00,607 --> 00:14:03,176 CONTINUE TO MAKE ADVANCES IN 272 00:14:03,176 --> 00:14:04,110 UNDERSTANDING THE DETERMINANTS 273 00:14:04,110 --> 00:14:06,112 OF CHRONIC DISEASE AND 274 00:14:06,112 --> 00:14:08,148 RECOGNIZING THE CONTRIBUTIONS OF 275 00:14:08,148 --> 00:14:11,418 THE GENETIC RISK THAT THERE ARE 276 00:14:11,418 --> 00:14:14,154 ALSO THOSE LIFESTYLE RISKS 277 00:14:14,154 --> 00:14:15,755 FACTORS THAT ARE VERY MODIFIABLE 278 00:14:15,755 --> 00:14:18,925 AND AGAIN COULD BE SOURCES OF 279 00:14:18,925 --> 00:14:21,661 INTERVENTION IN A PREVENTIVE AND 280 00:14:21,661 --> 00:14:23,063 PRECISION PREVENTIVE WAY AND 281 00:14:23,063 --> 00:14:27,567 INDEED, YOU SEE IN THIS WORK 282 00:14:27,567 --> 00:14:29,469 MANY YEARS AGO THAT INTERACTION 283 00:14:29,469 --> 00:14:31,671 BETWEEN EVEN THOSE WHO ARE HIGH 284 00:14:31,671 --> 00:14:35,275 GENETIC RISKS THAT MIGHT BE 285 00:14:35,275 --> 00:14:39,612 MODIFIED BY THE PREVENTIBLE AND 286 00:14:39,612 --> 00:14:41,347 MODIFIABLE RISK FACTORS AND 287 00:14:41,347 --> 00:14:43,550 INTERVENTIONS THAT DRIVE IT. 288 00:14:43,550 --> 00:14:44,384 NEXT SLIDE, PLEASE. 289 00:14:44,384 --> 00:14:49,789 SO TOWARD THAT END, AS WE THINK 290 00:14:49,789 --> 00:14:50,990 ABOUT HOW WE COULD CHANGE THE 291 00:14:50,990 --> 00:14:54,561 DIRECTION OF THIS PANDEMIC OF 292 00:14:54,561 --> 00:14:55,995 CHRONIC DISEASE IT WOULD SUGGEST 293 00:14:55,995 --> 00:14:58,898 THAT THE MONEY IS GOING TO BE 294 00:14:58,898 --> 00:14:59,466 MOVING EARLIER. 295 00:14:59,466 --> 00:15:04,804 YES, WE WILL CONTINUE TO DEVELOP 296 00:15:04,804 --> 00:15:08,441 TREATMENTS AND INNOVATE ALONG 297 00:15:08,441 --> 00:15:09,709 THAT AXIS, THE OPPORTUNITY 298 00:15:09,709 --> 00:15:11,111 REALLY IS TO MOVE EARLIER IN 299 00:15:11,111 --> 00:15:13,980 ALMOST ALL OF OUR CHRONIC 300 00:15:13,980 --> 00:15:16,249 CONDITIONS SUCH THAT WE ARE 301 00:15:16,249 --> 00:15:18,084 SEEING WHO'S AT RISK, SEEING 302 00:15:18,084 --> 00:15:21,788 WHO'S AT HIGHEST RISK, AND 303 00:15:21,788 --> 00:15:26,059 PERHAPS TARGETING THOSE 304 00:15:26,059 --> 00:15:27,227 INTERVENTIONS EARLIER AND 305 00:15:27,227 --> 00:15:29,229 SELECTIVELY IN WAYS THAT CAN 306 00:15:29,229 --> 00:15:29,829 CHANGE THE WHOLE TRANSLATIONAL 307 00:15:29,829 --> 00:15:33,900 RESEARCH -- TRAJECTORY 308 00:15:33,900 --> 00:15:36,002 OF LIFE COURSE AND CHRONIC 309 00:15:36,002 --> 00:15:39,506 DISEASE AND PERHAPS CONTRIBUTE 310 00:15:39,506 --> 00:15:41,174 TO ITS PREEMPTION IN SO DOING. 311 00:15:41,174 --> 00:15:42,041 NEXT SLIDE, PLEASE. 312 00:15:42,041 --> 00:15:43,209 SO IT'S APPRECIATING THAT SORT 313 00:15:43,209 --> 00:15:44,944 OF LIFE COURSE VIEW THAT 1 OF 314 00:15:44,944 --> 00:15:47,580 THE REASONS WE'RE NO LONGER 315 00:15:47,580 --> 00:15:49,649 DOING CARDIOVASCULAR COHORT 316 00:15:49,649 --> 00:15:53,019 STUDIES LIMITED TO 45 AND 65 317 00:15:53,019 --> 00:15:55,855 THAT FRAMINGHAM SORT OF SET AS 318 00:15:55,855 --> 00:15:58,625 THE MODE OF HOW WE OPERATE, WE 319 00:15:58,625 --> 00:15:59,893 ARE INCREASINGLY APPRECIATING 320 00:15:59,893 --> 00:16:02,929 THAT MANY OF THOSE RISKS AND 321 00:16:02,929 --> 00:16:06,132 EXPOSURE REALLY OCCUR VERY EARLY 322 00:16:06,132 --> 00:16:08,234 ON, PERHAPS EVEN IN UTERO, 323 00:16:08,234 --> 00:16:10,370 CERTAINLY THROUGH CHILDHOOD THAT 324 00:16:10,370 --> 00:16:12,205 SETS A TRAJECTORY OF CHRONIC 325 00:16:12,205 --> 00:16:15,575 DISEASE THAT MAY BE MANIFESTING 326 00:16:15,575 --> 00:16:19,879 IN MIDLIFE AND LATER LIFE. 327 00:16:19,879 --> 00:16:22,182 AGAIN, PUSHING US TOWARD EARLIER 328 00:16:22,182 --> 00:16:24,184 DETECTION AND INTERVENTION AND 329 00:16:24,184 --> 00:16:26,386 IN PARTICULAR THIS IS NOTABLE 330 00:16:26,386 --> 00:16:28,054 FOR WOMEN'S HEALTH AND SOME OF 331 00:16:28,054 --> 00:16:34,260 OUR WOMEN'S HEALTH ACTIVITIES. 332 00:16:34,260 --> 00:16:35,061 NEXT SLIDE, PLEASE. 333 00:16:35,061 --> 00:16:36,796 AS YOU'RE AWARE OF OUR STUDIES, 334 00:16:36,796 --> 00:16:40,433 PARTICULARLY NEW MOMS TO BE 335 00:16:40,433 --> 00:16:42,569 COHORT, WHERE WE RECOGNIZE OFTEN 336 00:16:42,569 --> 00:16:45,038 REG NANCY IS A SO CALLED STRESS 337 00:16:45,038 --> 00:16:50,076 TEST IN WHICH WE RECOGNIZE THAT 338 00:16:50,076 --> 00:16:54,214 THE DEVELOPMENT FOR EXAMPLE 339 00:16:54,214 --> 00:16:55,148 GUESTATIONAL DIABETES, 340 00:16:55,148 --> 00:16:56,916 FORESHADOWS THE POETIC TEBTICAL 341 00:16:56,916 --> 00:16:58,551 OF THAT INDIVIDUAL EVEN POST 342 00:16:58,551 --> 00:16:59,786 PREGNANCY TO DEVELOP 343 00:16:59,786 --> 00:17:00,954 HYPERTENSION OR DIABETES AND 344 00:17:00,954 --> 00:17:03,122 CLEARLY THERE'S ALSO A 345 00:17:03,122 --> 00:17:04,490 RELATIONSHIP BETWEEN THE 346 00:17:04,490 --> 00:17:06,226 PREGNANCY COMPLICATIONS AND 347 00:17:06,226 --> 00:17:07,293 THEIR IMPLICATIONS ON 348 00:17:07,293 --> 00:17:09,529 DEVELOPMENT OF CHRONIC 349 00:17:09,529 --> 00:17:10,396 CONDITIONS MUCH LATER AND HERE 350 00:17:10,396 --> 00:17:11,898 YOU CAN SEE SOME OF THE DATA 351 00:17:11,898 --> 00:17:14,200 FROM NEW MOMS TO BE THAT STARTS 352 00:17:14,200 --> 00:17:17,003 TO SET THAT IN MOTION. 353 00:17:17,003 --> 00:17:18,671 NOT ONLY FOR THE MOM BUT FOR THE 354 00:17:18,671 --> 00:17:21,708 CHILDREN AS WELL, AND SO, 355 00:17:21,708 --> 00:17:25,411 CHILDREN BORN TO MOTHERS WITH 356 00:17:25,411 --> 00:17:27,914 HIGH BLOOD PRESSURE IN PREGNANCY 357 00:17:27,914 --> 00:17:29,182 ARE AT HIGHER RISK THEMSELVES. 358 00:17:29,182 --> 00:17:31,517 THEY HAVE AN EARLY ONSET OF 359 00:17:31,517 --> 00:17:33,753 PROBLEMS WITH BLOOD PRESSURE AND 360 00:17:33,753 --> 00:17:36,022 CARDIOVASCULAR DISEASE, SO IT'S 361 00:17:36,022 --> 00:17:37,991 ALMOST THIS INTERGENERATIONAL 362 00:17:37,991 --> 00:17:42,128 ELEMENT THAT IS PART OF THAT 363 00:17:42,128 --> 00:17:44,764 LIFE SPAN TRAJECTORY AND IS 364 00:17:44,764 --> 00:17:47,066 SUGGESTIVE OF A POTENTIAL TO 365 00:17:47,066 --> 00:17:48,468 ACTUALLY INTERVENE IN WAYS THAT 366 00:17:48,468 --> 00:17:50,603 WILL HELP BOTH BABY AND MOM IN 367 00:17:50,603 --> 00:17:52,972 MULTIPLE WAYS OVERTIME. 368 00:17:52,972 --> 00:17:55,074 NEXT SLIDE, PLEASE. 369 00:17:55,074 --> 00:17:57,744 AND TOWARD THAT END, WE'RE 370 00:17:57,744 --> 00:17:59,612 ALREADY AGAIN THANKS TO NEW MOMS 371 00:17:59,612 --> 00:18:01,814 TO BE, GETTING TO THAT 372 00:18:01,814 --> 00:18:02,582 CONVERGENCE OF UNDERSTANDING 373 00:18:02,582 --> 00:18:04,951 WHAT ARE THOSE SUSCEPTIBILITY 374 00:18:04,951 --> 00:18:05,785 FACTOR, TYPICALLY GENETIC THAT 375 00:18:05,785 --> 00:18:09,956 MAY PLAY A ROLE HERE AND AGAIN, 376 00:18:09,956 --> 00:18:12,792 VERY INTRIGUING OBSERVATIONS 377 00:18:12,792 --> 00:18:14,661 ABOUT IDENTIFYING POLYGENIC RISK 378 00:18:14,661 --> 00:18:17,997 SCORES AND GENETIC LOCI 379 00:18:17,997 --> 00:18:19,832 ASSOCIATE WIDE PREELAMPSIA, 380 00:18:19,832 --> 00:18:21,701 ECLAMPSIA OR GUESTATIONAL 381 00:18:21,701 --> 00:18:22,435 HYPERTENSION AND IT'S INTRIGUING 382 00:18:22,435 --> 00:18:25,872 THAT A LOT OF THOASES LOCI ALSO 383 00:18:25,872 --> 00:18:28,775 CROSS WALK TO THOSE OF PRIMARY 384 00:18:28,775 --> 00:18:31,044 HYPERTENSION SEPARATE FROM 385 00:18:31,044 --> 00:18:31,311 PREGNANCY. 386 00:18:31,311 --> 00:18:32,645 SUGGESTING AGAIN THAT A STRESS 387 00:18:32,645 --> 00:18:36,082 TEST FOR THOSE WHO MIGHT BE 388 00:18:36,082 --> 00:18:38,051 GENETICALLY SUSCEPTIBLE TO 389 00:18:38,051 --> 00:18:40,687 CHRONIC PRIMARY HYPERTENSION AND 390 00:18:40,687 --> 00:18:43,890 INDEED THAT GENETIC RISK FACTOR, 391 00:18:43,890 --> 00:18:46,826 NEXT SLIDE, PLEASE, COULD BE 392 00:18:46,826 --> 00:18:49,462 HELPFUL AS A DETERMINING RISK IN 393 00:18:49,462 --> 00:18:52,465 A PRECISION WAY BUT ALSO LET ME 394 00:18:52,465 --> 00:18:53,266 BE COMPLEMENTED BY INTERVENTIONS 395 00:18:53,266 --> 00:18:56,002 THAT WE CAN DO, SOME OF WHICH 396 00:18:56,002 --> 00:19:00,540 THAT THEY RELATE TO LIFESTYLE 397 00:19:00,540 --> 00:19:01,341 AND BEHAVIORIAL CHOICES. 398 00:19:01,341 --> 00:19:02,308 SO WE'RE VERY EXCITED ABOUT THE 399 00:19:02,308 --> 00:19:04,744 ROLL OUT OF THE ENRICH STUDY, 400 00:19:04,744 --> 00:19:09,582 WHICH REALLY STARTS TO TARGET 401 00:19:09,582 --> 00:19:10,350 POPULATIONS AT HIGHEST RISK. 402 00:19:10,350 --> 00:19:14,120 I BELIEVE THIS IS AN EXAMPLE 403 00:19:14,120 --> 00:19:17,390 FROM MOTHERS AND CHILDREN IN 404 00:19:17,390 --> 00:19:19,425 NORTHERN APPALACHIA AND SO IT'S 405 00:19:19,425 --> 00:19:21,561 THAT HEART LAND WHERE WE SAW 406 00:19:21,561 --> 00:19:23,997 THAT CONCENTRATION OF BOTH RISK, 407 00:19:23,997 --> 00:19:26,733 CHRONIC DISEASE, AND MATERNAL 408 00:19:26,733 --> 00:19:30,737 MORTALITY AND THIS TEST AN 409 00:19:30,737 --> 00:19:32,939 INTERVENTION OF OF HOME VISITS 410 00:19:32,939 --> 00:19:35,141 WHERE THOSE LIFESTYLE MODIIVESS 411 00:19:35,141 --> 00:19:37,276 EVEN LEVERAGING THE SIMPLE 7 OF 412 00:19:37,276 --> 00:19:42,749 AHA IS A MEANS TO ENGAGE REALLY 413 00:19:42,749 --> 00:19:45,618 THE FAMILY, MOM, CHILD IN WAYS 414 00:19:45,618 --> 00:19:48,755 THAT HOPEFULLY CAN BE SUSTAINED 415 00:19:48,755 --> 00:19:52,058 WHERE THEY'RE GIVING HEART 416 00:19:52,058 --> 00:19:54,494 HEALTHY DIETS AND ACTIVITY AND 417 00:19:54,494 --> 00:19:55,461 LIFESTYLE THAT BEGINS LITERALLY 418 00:19:55,461 --> 00:19:57,030 AT DAY 1 AND WE'RE HOPEFUL THAT 419 00:19:57,030 --> 00:19:59,899 NOT ONLY THIS HAS A SHORT-TERM 420 00:19:59,899 --> 00:20:01,300 BENEFIT BUT HOPEFULLY WE'RE 421 00:20:01,300 --> 00:20:03,036 STARTING TO MODIFY THE 422 00:20:03,036 --> 00:20:04,771 TRAJECTORY OF BOTH MOM AND 423 00:20:04,771 --> 00:20:05,071 CHILDREN. 424 00:20:05,071 --> 00:20:07,607 INDEED IT'S EXEMPLAR OF THE KIND 425 00:20:07,607 --> 00:20:09,542 OF EARLY INTERVENTIONS THAT WE 426 00:20:09,542 --> 00:20:12,345 MAY NEED TO PURSUE AND TEST. 427 00:20:12,345 --> 00:20:13,479 NEXT SLIDE, PLEASE. 428 00:20:13,479 --> 00:20:16,849 PARTICULARLY TARGETED TO CERTAIN 429 00:20:16,849 --> 00:20:19,385 POPULATIONS, INDEED MAYBE IT'S A 430 00:20:19,385 --> 00:20:20,319 FORERUNNER OF OTHER 431 00:20:20,319 --> 00:20:24,857 INTERVENTIONS THAT WE'VE 432 00:20:24,857 --> 00:20:27,260 ESTABLISHED THAT RISK AGAIN, 433 00:20:27,260 --> 00:20:29,662 WE'RE VERY EXCITED ABOUT THE 434 00:20:29,662 --> 00:20:33,733 RESULTS OF THE CHAP STUDY THAT 435 00:20:33,733 --> 00:20:35,935 SHOWED TREATING HYPER ATTENTION 436 00:20:35,935 --> 00:20:37,870 DURING PREGNANCYY MORE 437 00:20:37,870 --> 00:20:38,871 AGGRESSIVELY YIELDED BENEFITS IN 438 00:20:38,871 --> 00:20:42,141 TERMS OF REDUCING THE FREQUENCY 439 00:20:42,141 --> 00:20:44,811 OF PREECLAMPSIA AND WITHOUT HARM 440 00:20:44,811 --> 00:20:49,649 TO THE BABY IN WAYS THAT WE HOPE 441 00:20:49,649 --> 00:20:51,017 CAN HAVE LONG-TERM BENEFITS 442 00:20:51,017 --> 00:20:55,421 AGAIN FOR BOTH MOM AND BABY AND 443 00:20:55,421 --> 00:20:58,925 TOWARD THAT END, WE'RE EXCITED 444 00:20:58,925 --> 00:21:00,960 THAT THOSE ARE NOW IN 445 00:21:00,960 --> 00:21:01,327 GUIDELINES. 446 00:21:01,327 --> 00:21:03,563 I THINK THE GUIDELINES CHANGED 447 00:21:03,563 --> 00:21:05,064 WITHIN A MONTH OF THIS TRIAL 448 00:21:05,064 --> 00:21:05,298 RESULT. 449 00:21:05,298 --> 00:21:05,832 NEXT SLIDE. 450 00:21:05,832 --> 00:21:12,004 SO IN THAT REGARD, WE HAVE AN 451 00:21:12,004 --> 00:21:14,040 OPPORTUNITY TO INTERVENE AND 452 00:21:14,040 --> 00:21:16,242 EVEN IN PRIMARY CARE SETTINGS, 453 00:21:16,242 --> 00:21:19,078 NEXT SLIDE, IN WHICH WE TART TO 454 00:21:19,078 --> 00:21:21,681 TAKE CARE OF WOMEN ACROSS THE 455 00:21:21,681 --> 00:21:25,985 LIFE SPAN, BOTH BEFORE, DURING 456 00:21:25,985 --> 00:21:29,021 AND AFTER PREGNANCY AND IN SOME 457 00:21:29,021 --> 00:21:32,792 WAYS TO CHANGE THAT TRAJECTORY. 458 00:21:32,792 --> 00:21:34,460 THAT SUGGESTS THAT WE NEED TO 459 00:21:34,460 --> 00:21:37,430 BREAK THOSE LINES BETWEEN THE 460 00:21:37,430 --> 00:21:38,898 OBSTETRICIAN AND THE PRIMARY 461 00:21:38,898 --> 00:21:42,635 CARE, ET CETERA AND INDEED, IF 462 00:21:42,635 --> 00:21:44,203 INDEED WE'RE TREATING AND CARING 463 00:21:44,203 --> 00:21:46,839 FOR THESE WOMEN OF REPRODUCTIVE 464 00:21:46,839 --> 00:21:49,542 AGE, WELL BEFORE THEY GET 465 00:21:49,542 --> 00:21:51,577 PREGNANT WE MAY FIND THAT A LOT 466 00:21:51,577 --> 00:21:53,212 OF THOSE PREGNANCY OUTCOMES CAN 467 00:21:53,212 --> 00:21:54,614 IMPROVE AND IT'S REALLY 468 00:21:54,614 --> 00:21:56,749 CHALLENGED US TO THINK ABOUT 469 00:21:56,749 --> 00:21:58,918 PARTICULARLY IN THESE VULNERABLE 470 00:21:58,918 --> 00:22:01,954 COMMUNITIES AND VULNERABLE 471 00:22:01,954 --> 00:22:06,325 POPULATIONS CAN WE HAVE A BRIDGE 472 00:22:06,325 --> 00:22:09,529 THAT PROMOTES A HEALTHY LIFE AND 473 00:22:09,529 --> 00:22:10,796 THRIVING COMMUNITIES WHERE THEY 474 00:22:10,796 --> 00:22:13,166 HAVE ACCESS TO THAT HEALTHY 475 00:22:13,166 --> 00:22:13,799 LIFESTYLE. 476 00:22:13,799 --> 00:22:16,035 AND THIS IS AN OPPORTUNITY TO 477 00:22:16,035 --> 00:22:18,004 LEVERAGE A PLATFORM OF OUR 478 00:22:18,004 --> 00:22:20,239 COMMUNITY ENGAGED ALLIANCE, THAT 479 00:22:20,239 --> 00:22:22,308 IS NOW NO LONGER FOCUSED ON 480 00:22:22,308 --> 00:22:25,611 COVID BUT IT REALLY FOCUSED AS A 481 00:22:25,611 --> 00:22:27,713 PLATFORM THAT IS INCLUSIVE OF A 482 00:22:27,713 --> 00:22:30,616 VARIETY OF CONDITIONS THAT ARE 483 00:22:30,616 --> 00:22:32,218 PREVALENT WITHIN THAT COMMUNITY 484 00:22:32,218 --> 00:22:34,687 AND PRIORITIZE FOR INTERVENTION 485 00:22:34,687 --> 00:22:36,889 BY THAT COMMUNITY AND THEN THAT 486 00:22:36,889 --> 00:22:38,958 WAYS DISEASE AGNOSTIC IF YOU 487 00:22:38,958 --> 00:22:41,460 WILL OR INCLUSIVE AND THAT THIS 488 00:22:41,460 --> 00:22:43,296 IS A PLATFORM THAT NOT ONLY 489 00:22:43,296 --> 00:22:45,264 INCLUDES HEART LUNG AND BLOOD 490 00:22:45,264 --> 00:22:46,432 SLEEP DISORDERS BUT IT GOES 491 00:22:46,432 --> 00:22:50,503 ACROSS THE FULL SPECTRUM OF THE 492 00:22:50,503 --> 00:22:52,238 NIH PORTFOLIO RELEVANT TO THESE 493 00:22:52,238 --> 00:22:55,308 COMMUNITIES IN A WAY THAT'S MORE 494 00:22:55,308 --> 00:22:56,142 ADAPTIVE TO THEIR PRIORITIES AND 495 00:22:56,142 --> 00:22:59,579 THEIR NEEDS IN A WHOLISTIC AND 496 00:22:59,579 --> 00:23:00,646 COMPREHENSIVE FASHION SO WE'RE 497 00:23:00,646 --> 00:23:07,587 BUILDING UPON THIS STRUCTURE AND 498 00:23:07,587 --> 00:23:10,723 THE CEAL ALLIANCE IS TARGETED 499 00:23:10,723 --> 00:23:12,758 TOWARD THE MOST VULNERABLE 500 00:23:12,758 --> 00:23:14,460 COMMUNITIES, NOT ONLY MOST 501 00:23:14,460 --> 00:23:16,762 VULNERABLE TO COVID BUT CHRONIC 502 00:23:16,762 --> 00:23:17,997 CONDITIONS IN FACTEE RELATED TO 503 00:23:17,997 --> 00:23:19,065 MANY OF THOSE SOCIAL 504 00:23:19,065 --> 00:23:20,600 DETERMINANTS THAT ARE SO HIGHLY 505 00:23:20,600 --> 00:23:21,767 PREVALENT IN THOSE COMMUNITIES. 506 00:23:21,767 --> 00:23:25,004 AND SO WE SEE THIS AS AN IDEAL 507 00:23:25,004 --> 00:23:27,273 PIVOT AND PLATFORM, THAT COULD 508 00:23:27,273 --> 00:23:29,208 BE REALLY INSTRUMENTAL IN 509 00:23:29,208 --> 00:23:30,576 ADDRESSING THE PANDEMIC OF 510 00:23:30,576 --> 00:23:34,180 CHRONIC DISEASE NEXT SLIDE, 511 00:23:34,180 --> 00:23:44,323 PLEASE. 512 00:23:50,730 --> 00:23:56,302 IN THAT REGARD, THE TEAM HAS 513 00:23:56,302 --> 00:23:59,438 ALREADY ENGAGED COMMUNITIES AND 514 00:23:59,438 --> 00:24:02,808 PLATFORMS FOR INFORMATION 515 00:24:02,808 --> 00:24:04,610 SHARING AND PREVENTION TO LINK 516 00:24:04,610 --> 00:24:07,446 TO PRIMARY CARE NETWORKS 517 00:24:07,446 --> 00:24:08,447 NETWORKS SO THAT 518 00:24:08,447 --> 00:24:13,586 WAS THE VISION FOR CREATING CEAL 519 00:24:13,586 --> 00:24:15,221 CARE NET BOTH INSIDE AND OUTSIDE 520 00:24:15,221 --> 00:24:19,158 THE CLINIC WALLS WITHIN THESE 521 00:24:19,158 --> 00:24:20,760 COMMUNITIES SUCH THAT WELL IS 522 00:24:20,760 --> 00:24:22,695 THAT CONTINUITY AND AN 523 00:24:22,695 --> 00:24:24,096 OPPORTUNITY TO DO MULTILEVEL 524 00:24:24,096 --> 00:24:29,435 INTERVENTIONS AND SO MANY OF 525 00:24:29,435 --> 00:24:30,936 THEM DO HAVE QUALIFIED HEALTH 526 00:24:30,936 --> 00:24:34,273 CENTERS AND THE CITRUS GROUP AND 527 00:24:34,273 --> 00:24:36,375 THE CEAL TEAM VS STARTED WITH A 528 00:24:36,375 --> 00:24:39,145 COUPLE OF PRIMARY CARE BASED 529 00:24:39,145 --> 00:24:39,979 RESEARCH NETWORKS AS PART OF 530 00:24:39,979 --> 00:24:42,581 THAT STUDY WITH THE OVERLAP 531 00:24:42,581 --> 00:24:52,658 SHOWN HERE WITH THE CEAL TEAMS, 532 00:24:52,658 --> 00:24:54,794 NEXT SLIDE, PLEASE AND INDEED WE 533 00:24:54,794 --> 00:24:56,729 ARE TO CREATE A MORE SEAMLESS 534 00:24:56,729 --> 00:24:59,332 DATA RESOURCE AS PART OF THE 535 00:24:59,332 --> 00:25:01,400 ECOSYSTEM LINKED TO THE 536 00:25:01,400 --> 00:25:03,169 ELECTRONIC HEALTH RECORDS OF 537 00:25:03,169 --> 00:25:06,105 THESE CLINICS EMBEDDED IN THESE 538 00:25:06,105 --> 00:25:07,740 HIGH RISK COMMUNITIES SUFFERING 539 00:25:07,740 --> 00:25:09,141 FROM THESE DISPARITIES OF 540 00:25:09,141 --> 00:25:09,842 CHRONIC CONDITIONS. 541 00:25:09,842 --> 00:25:13,579 SO WE SEE AN OPPORTUNITY TO LINK 542 00:25:13,579 --> 00:25:17,783 THE CARE SETTING, THE COMMUNITY 543 00:25:17,783 --> 00:25:19,952 SETTING WITH THIS DATA RESOURCE 544 00:25:19,952 --> 00:25:21,454 CAPABILITY THAT COULD BE 545 00:25:21,454 --> 00:25:23,189 AMINABLE TO SOME OF THE 546 00:25:23,189 --> 00:25:24,690 OPPORTUNITIES IN MACHINE 547 00:25:24,690 --> 00:25:28,828 LEARNING AI AND UNDERSTANDING 548 00:25:28,828 --> 00:25:30,663 COMMUNITY HEALTH BETTER 549 00:25:30,663 --> 00:25:31,731 LEVERAGING DATA SCIENCE 550 00:25:31,731 --> 00:25:37,203 CAPABILITIES. 551 00:25:37,203 --> 00:25:38,904 NEXT SLIDE, PLEASE. 552 00:25:38,904 --> 00:25:43,709 IN THAT REGARD OCHIN 1 FORT 553 00:25:43,709 --> 00:25:47,446 PARTNERS HAS STARTED TO USE 554 00:25:47,446 --> 00:25:49,081 THESE RESOURCES TO START TO 555 00:25:49,081 --> 00:25:54,120 IDENTIFY WHY IS IT THAT THERE'S 556 00:25:54,120 --> 00:25:56,255 UNCONTROLLED HYPERTENSION OR 557 00:25:56,255 --> 00:25:58,224 DIABETES AND CLEARLY IS PART OF 558 00:25:58,224 --> 00:26:00,860 THIS THROUGH THE EHR, THEY START 559 00:26:00,860 --> 00:26:02,928 TO IDENTIFY THERE WERE CERTAIN 560 00:26:02,928 --> 00:26:05,965 RACIAL AND ETHNIC GROUPS THAT 561 00:26:05,965 --> 00:26:12,271 WERE AT HIGHER RISK OF HAVING 562 00:26:12,271 --> 00:26:13,506 UNCONTROLLED BLOOD PRESSURE. 563 00:26:13,506 --> 00:26:16,475 CLEARLY SOCIAL FACTORS LIKE 564 00:26:16,475 --> 00:26:20,446 INSURANCE, CO-PAYS, THE ABILITY 565 00:26:20,446 --> 00:26:22,815 TO ENGAGE PROVIDERS, WHETHER 566 00:26:22,815 --> 00:26:24,216 THAT'S THROUGH AN ACCESS OR 567 00:26:24,216 --> 00:26:27,520 DISTANCE PERHAPS IN RURAL 568 00:26:27,520 --> 00:26:29,255 COMMUNITIES, AND MAYBE ISSUES OF 569 00:26:29,255 --> 00:26:31,290 HEALTH LITERACY, IF THEY'RE 570 00:26:31,290 --> 00:26:33,459 NEWEL DIAGNOSED AND DON'T 571 00:26:33,459 --> 00:26:35,861 APPRECIATE THE RISKS OF 572 00:26:35,861 --> 00:26:36,796 UNCONTROLLED HYPERTENSION AND SO 573 00:26:36,796 --> 00:26:39,532 1 OF THE CHALLENGES IF THESE ARE 574 00:26:39,532 --> 00:26:42,067 THE RISK FACTORS FOR 575 00:26:42,067 --> 00:26:42,902 UNCONTROLLED HYPERTENSION, HOW 576 00:26:42,902 --> 00:26:47,673 IS THE HELT -- HEALTH SYSTEM AD 577 00:26:47,673 --> 00:26:48,374 COMMUNITY ADDRESSING THIS IN 578 00:26:48,374 --> 00:26:58,851 SOME OF THE MOST VULNERABLE 579 00:27:01,253 --> 00:27:01,487 PATIENTS. 580 00:27:01,487 --> 00:27:03,189 SO THERE'S AN OPPORTUNITY TO 581 00:27:03,189 --> 00:27:04,790 INTERSECT THESE PROBLEMS WITH 582 00:27:04,790 --> 00:27:07,326 THE CLINICAL PROBLEM TO ALLOW 583 00:27:07,326 --> 00:27:08,227 THESE SOCIAL DETERMINANTS OF 584 00:27:08,227 --> 00:27:10,529 HEALTH TAKEN--THEY AFFECT THESE 585 00:27:10,529 --> 00:27:13,766 OUTCOMES, PARTICULARLY ADVERSE 586 00:27:13,766 --> 00:27:15,835 OUT COMES WHEN IT AM CANS TO 587 00:27:15,835 --> 00:27:16,969 DIABETES AND HYPERTENSION, IF WE 588 00:27:16,969 --> 00:27:19,171 ARE GOING TO REACH OUT TO THOSE 589 00:27:19,171 --> 00:27:21,507 COMMUNITIES THAT ARE PERHAPS 590 00:27:21,507 --> 00:27:22,575 LAGGING BEHIND, 1 OF THE BEST 591 00:27:22,575 --> 00:27:24,176 INTERVENTIONS IS TO ADDRESS IT 592 00:27:24,176 --> 00:27:25,544 WITH THE THINGS WE ALREADY KNOW 593 00:27:25,544 --> 00:27:27,079 HOW TO WORK AND THEN WORK 594 00:27:27,079 --> 00:27:28,914 THROUGH A COMMUNITY ENGAGED 595 00:27:28,914 --> 00:27:30,516 RESEARCH PARADIGM WITH 596 00:27:30,516 --> 00:27:32,718 IMPLEMENTATION SCIENCE WHETHER 597 00:27:32,718 --> 00:27:36,889 WE CAN TAKE EVIDENCE BASED 598 00:27:36,889 --> 00:27:38,791 RIGOROUS APPROACH TO TESTING, 599 00:27:38,791 --> 00:27:40,893 DIFFERENT STRATEGIES TO OPTIMIZE 600 00:27:40,893 --> 00:27:41,760 THESE HEALTH OUTCOMES. 601 00:27:41,760 --> 00:27:45,965 THIS IS A STUDY THAT IS BEING 602 00:27:45,965 --> 00:27:50,503 PURSUED ON THE CEAL PLATFORM 603 00:27:50,503 --> 00:27:54,039 THAT LEVERAGES THAT EHR 604 00:27:54,039 --> 00:27:54,773 FRAMEWORK, FIRST TO IDENTIFY 605 00:27:54,773 --> 00:27:58,544 THOSE WHO HAVE THOSE COMORBID 606 00:27:58,544 --> 00:28:01,247 SITUATIONS OF UNCONTROLLED 607 00:28:01,247 --> 00:28:01,780 HYPERTENSION AND DIABETES. 608 00:28:01,780 --> 00:28:04,683 AND THEN RECOGNIZE THAT IT'S NOT 609 00:28:04,683 --> 00:28:06,051 ONLY A CALL TO MAYBE INCREASE 610 00:28:06,051 --> 00:28:09,188 THE DOSE OF THEIR DRUGS OR GIVE 611 00:28:09,188 --> 00:28:10,923 THEM MORE PRESCRIPTIONS BUT TO 612 00:28:10,923 --> 00:28:12,191 TAKE A WHOLISTIC VIEW AND 613 00:28:12,191 --> 00:28:13,392 APPRECIATE THAT MAYBE A NUMBER 614 00:28:13,392 --> 00:28:16,495 OF THOSE FACTORS WERE ACTUALLY 615 00:28:16,495 --> 00:28:17,963 SOCIAL AND BEHAVIORIAL, NOT A 616 00:28:17,963 --> 00:28:19,832 MATTER OF PILL TAKING. 617 00:28:19,832 --> 00:28:22,234 AND SO THEY'RE TAKING A 618 00:28:22,234 --> 00:28:26,972 COMMUNITY HEALTH WORKER APPROACH 619 00:28:26,972 --> 00:28:28,541 LEVERAGING THAT ACTIVITY AND AS 620 00:28:28,541 --> 00:28:32,011 A MEANS OF PROMOTING HEALTH 621 00:28:32,011 --> 00:28:33,112 LITERACY, PROMOTING HEALTHY 622 00:28:33,112 --> 00:28:36,015 HABITS AND ALMOST SERVING AS A 623 00:28:36,015 --> 00:28:37,416 NAVIGATOR THROUGH SOCIAL SYSTEMS 624 00:28:37,416 --> 00:28:39,552 TO BE SURE THAT THEY HAVE 625 00:28:39,552 --> 00:28:41,487 WHETHER IT'S TRANSPORTATION OR 626 00:28:41,487 --> 00:28:42,888 FINANCING OR FOOD ASSISTANCE, 627 00:28:42,888 --> 00:28:46,625 RELATED TO THE FOOD INSECURITY, 628 00:28:46,625 --> 00:28:48,694 A REALLY WHOLISTIC VIEW 629 00:28:48,694 --> 00:28:49,261 LEVERAGING COMMUNITY HEALTH 630 00:28:49,261 --> 00:28:54,066 WORKERS IN A WAY OF WRAP AROUND 631 00:28:54,066 --> 00:28:55,434 SOCIAL SUPPORT BUTTRESSING TO 632 00:28:55,434 --> 00:28:56,368 HOPEFULLY ENHANCE BLOOD PRESSURE 633 00:28:56,368 --> 00:28:58,270 AND DIABETES CONTROL AND ENHANCE 634 00:28:58,270 --> 00:28:58,771 OUTCOME. 635 00:28:58,771 --> 00:29:01,640 SO THIS IS BEING TESTED IN A 636 00:29:01,640 --> 00:29:04,109 CLUSTER RANDOMIZED DESIGN HERE, 637 00:29:04,109 --> 00:29:07,279 I GUESS, IT SAYS 26 COMMUNITY 638 00:29:07,279 --> 00:29:08,447 HEALTH CENTERS, ABOUT 3000 639 00:29:08,447 --> 00:29:11,016 PATIENTS AND SO SYSTEMATICALLY 640 00:29:11,016 --> 00:29:15,020 AND RIGOROUSLY TESTING WAYS TO 641 00:29:15,020 --> 00:29:17,323 ADDRESS THE PANDEMIC OR CHRONIC 642 00:29:17,323 --> 00:29:20,326 DISEASE IN THE MOST VULNERABLE 643 00:29:20,326 --> 00:29:22,828 POPULATIONS, LEVERAGING THE SEAL 644 00:29:22,828 --> 00:29:23,095 PLATFORM. 645 00:29:23,095 --> 00:29:30,002 NEXT SLIDE PLEASE. 646 00:29:30,002 --> 00:29:30,736 NEXT SLIDE, PLEASE. 647 00:29:30,736 --> 00:29:32,271 LET ME JUST PIVOT TO ANOTHER 648 00:29:32,271 --> 00:29:34,340 EXAMPLE AND THAT RELATES TO 649 00:29:34,340 --> 00:29:36,575 CHRONIC LUNG DISEASE AND THIS 650 00:29:36,575 --> 00:29:42,014 CLEARLY ILLUSTRATES A CURVE THAT 651 00:29:42,014 --> 00:29:44,450 LITERALLY I SHOWED THAT SLIDE, 652 00:29:44,450 --> 00:29:46,852 PROBABLY MY SECOND DAY AS 653 00:29:46,852 --> 00:29:48,120 DIRECTOR WHERE IT TROUBLED ME SO 654 00:29:48,120 --> 00:29:51,757 THAT YOU KNOW YOU GET ON THIS 655 00:29:51,757 --> 00:29:57,262 CURVE AND IT HAS A SENSE OF 656 00:29:57,262 --> 00:29:58,030 INEXPECTATIONSORRABLE LOST IN 657 00:29:58,030 --> 00:30:01,133 DECLINE IN DEATH AND WE HAVEN'T 658 00:30:01,133 --> 00:30:02,401 DEVELOPED VERY MANY THERAPEUTICS 659 00:30:02,401 --> 00:30:05,371 OVER THE LAST COUPLE DECADES, 660 00:30:05,371 --> 00:30:07,673 THE CHANGES OF THESE CURVES 661 00:30:07,673 --> 00:30:10,743 MODIFYS THE NATURAL HISTORY. 662 00:30:10,743 --> 00:30:15,581 WE HAVE THINGS THAT TREAT 663 00:30:15,581 --> 00:30:18,217 SYMPTOMS AND BUT NOTHING THAT 664 00:30:18,217 --> 00:30:19,018 REALLY MODIFIED THE LUN DISEASE, 665 00:30:19,018 --> 00:30:20,052 THIS IS A CALL TO ACTION. 666 00:30:20,052 --> 00:30:23,122 THIS IS AN AREA WHERE IT NEEDS A 667 00:30:23,122 --> 00:30:25,658 RETHINK IN TERMS OF HOW WE THINK 668 00:30:25,658 --> 00:30:28,260 ABOUT IT CLINICALLY, PROBABLY 669 00:30:28,260 --> 00:30:32,197 NEEDS A RETHINK THAT PROVIDES A 670 00:30:32,197 --> 00:30:32,998 MOLECULAR TAXONOMY OF WHAT'S 671 00:30:32,998 --> 00:30:36,402 GOING ON WITH THESE CURVES, WHAT 672 00:30:36,402 --> 00:30:38,237 IS RESILIENT TO LUNG INJURY, 673 00:30:38,237 --> 00:30:40,105 WHAT OF ANY OF THESE CURVES THAT 674 00:30:40,105 --> 00:30:44,209 CAN BE MODIFIED AND ADJUSTED, WE 675 00:30:44,209 --> 00:30:46,912 KNOW IN CARDIOVASCULAR DISEASE 676 00:30:46,912 --> 00:30:49,181 YOU STOP SMOKING THE CURVES CAN 677 00:30:49,181 --> 00:30:51,250 MODIFY AND CHANGE AND SO I 678 00:30:51,250 --> 00:30:52,785 RADIOLELY NEED TO FIND THESE 679 00:30:52,785 --> 00:30:53,552 DRIVERS, NEXT SLIDE. 680 00:30:53,552 --> 00:30:57,923 AND TOWARD THAT END, HOPEFULLY 681 00:30:57,923 --> 00:30:58,857 LEVERAGING NEW IMAGING 682 00:30:58,857 --> 00:31:00,025 MODALITIES AND PARTICULARLY 683 00:31:00,025 --> 00:31:01,360 IMAGING MODALITIES THAT MAY BE 684 00:31:01,360 --> 00:31:06,598 FURTHER ENHANCED BY THE LAYERING 685 00:31:06,598 --> 00:31:08,534 OF RADIO-OMICs OF AI TO SEE IF 686 00:31:08,534 --> 00:31:10,636 WOO CAN DEVELOP IMAGING 687 00:31:10,636 --> 00:31:13,138 BIOMARKERS THAT ARE MORE 688 00:31:13,138 --> 00:31:14,039 SENSITIVE AND DETECT PRECLINICAL 689 00:31:14,039 --> 00:31:15,774 LUNG DISEASE OR BETTER DEFINE 690 00:31:15,774 --> 00:31:23,716 WHAT LUNG HEALTH IS, AND DEVELOP 691 00:31:23,716 --> 00:31:25,150 THAT RESILIENCE UNDERSTANDING. 692 00:31:25,150 --> 00:31:26,819 SIMILARLY DEVELOPING THOSE 693 00:31:26,819 --> 00:31:31,223 STRATEGIES TO IDENTIFY PATHWAYS 694 00:31:31,223 --> 00:31:37,596 AND SUSCEPTIBILITY IN THIS CASE 695 00:31:37,596 --> 00:31:40,666 TO SUBCLINICAL SORT OF 696 00:31:40,666 --> 00:31:41,400 INTERSTITIAL ABNORMALITIES AND 697 00:31:41,400 --> 00:31:43,068 DISEASE TO FIND THOSE FACTORS 698 00:31:43,068 --> 00:31:46,839 THAT AGAIN MIGHT BE MORE 699 00:31:46,839 --> 00:31:49,475 IMPORTANT EARLY ON. 700 00:31:49,475 --> 00:31:50,509 HERE'S PRECISION MEDICINE OR 701 00:31:50,509 --> 00:31:53,879 HEALTH THAT COULD LEVERAGE NEW 702 00:31:53,879 --> 00:32:01,453 INNOVATIONS AND DATA SCIENCE IN 703 00:32:01,453 --> 00:32:01,787 AI. 704 00:32:01,787 --> 00:32:02,755 SIMILARLY WE SEE NEW 705 00:32:02,755 --> 00:32:04,623 OPPORTUNITIES IN THE INNOVATION 706 00:32:04,623 --> 00:32:07,826 AND AI APPROACHES PARTICULARLY 707 00:32:07,826 --> 00:32:10,696 LEVERAGING MULTIOMICS AND A REAL 708 00:32:10,696 --> 00:32:14,500 MOLECULAR TAXONOMY OF DISEASE 709 00:32:14,500 --> 00:32:16,668 AND HEALTH AND 1 EXAMPLE AGAIN 710 00:32:16,668 --> 00:32:19,905 RELATED TO IDIO PATHIC PULMONARY 711 00:32:19,905 --> 00:32:21,607 FIBROSIS STARTING TO BE PURSUE 712 00:32:21,607 --> 00:32:24,143 AS TO WHETHER WE REQUEST TAKE 713 00:32:24,143 --> 00:32:27,079 PRECLINICAL INFORMATION FROM 714 00:32:27,079 --> 00:32:28,580 ANIMAL MODELS, LAYER IN WHAT WE 715 00:32:28,580 --> 00:32:31,617 KNOW FROM HUMAN SYSTEMS BIOLOGY, 716 00:32:31,617 --> 00:32:34,319 AS WELL AS A DISEASE 717 00:32:34,319 --> 00:32:37,222 PATHOGENESIS IN WAYS TO START TO 718 00:32:37,222 --> 00:32:38,724 IDENTIFY MOLECULAR PATHWAYS, 719 00:32:38,724 --> 00:32:40,425 NETWORKS AND TARGET DISCOVERY, 720 00:32:40,425 --> 00:32:43,262 TARGET VALIDATION THAT THEN CAN 721 00:32:43,262 --> 00:32:48,133 SERVE AS A DRIVER OF NEW 722 00:32:48,133 --> 00:32:48,901 INNOVATIVE DRUGS AND 723 00:32:48,901 --> 00:32:51,403 THERAPEUTICS THAT ARE MORE 724 00:32:51,403 --> 00:32:56,542 TARGETED AND GETS US BEYOND 725 00:32:56,542 --> 00:32:57,476 STEROIDS AND BRONCO-DILATORS IN 726 00:32:57,476 --> 00:32:59,912 A WAY THAT CHANGES NATURAL 727 00:32:59,912 --> 00:33:00,412 HISTORY. 728 00:33:00,412 --> 00:33:01,446 NEXT SLIDE, PLEASE. 729 00:33:01,446 --> 00:33:02,347 INDEED THERE IS THIS 1 EXAMPLE 730 00:33:02,347 --> 00:33:05,951 OF THIS BEING DONE IN THE 731 00:33:05,951 --> 00:33:06,885 PRIVATE SECTOR, SILICO MEDICINE, 732 00:33:06,885 --> 00:33:10,689 I BELIEVE THEY'RE CALLED IN 733 00:33:10,689 --> 00:33:12,324 WHICH THEY'VE TAKEN THESE INPUTS 734 00:33:12,324 --> 00:33:17,396 OF TRYING TO LOOK AT VARIOUS 735 00:33:17,396 --> 00:33:21,333 DATA SETS TO IDENTIFY PATHWAYS 736 00:33:21,333 --> 00:33:23,635 AND NETWORKS OF DISEASE WHETHER 737 00:33:23,635 --> 00:33:26,605 IT'S IN CELLS, TISSUES, VARIOUS 738 00:33:26,605 --> 00:33:28,774 SORTS OF MODELS, ALSO TAKING 739 00:33:28,774 --> 00:33:30,943 ADVANTAGE OF SORT OF HIGH 740 00:33:30,943 --> 00:33:33,912 THROUGH PUT ASSAYS TO FURTHER 741 00:33:33,912 --> 00:33:37,549 CLARIFY TARGETS AND AGAIN, 742 00:33:37,549 --> 00:33:38,851 LEVERAGING DATA SCIENCE AND AI 743 00:33:38,851 --> 00:33:41,920 TOOLS TO MAKE PREDICTIVE MODELS 744 00:33:41,920 --> 00:33:43,422 THROUGH THIS AND IN MANY WAYS 745 00:33:43,422 --> 00:33:46,725 THEY WERE ABLE TO IDENTIFY THIS 746 00:33:46,725 --> 00:33:48,026 PARTICULARLY T& K PATHWAY 747 00:33:48,026 --> 00:33:53,632 TARGET THAT I BELIEVE IS LINKED 748 00:33:53,632 --> 00:33:54,900 UPSTREAM OF TGF BETA AND OTHER 749 00:33:54,900 --> 00:33:57,135 THINGS THAT HAVE BEEN IMPLICATE 750 00:33:57,135 --> 00:33:58,403 INDEED IPF AND DEVELOP A 751 00:33:58,403 --> 00:34:02,674 MOLECULE THAT BEGAN USING AI. 752 00:34:02,674 --> 00:34:04,309 THEY COULD OPTIMIZE AS A 753 00:34:04,309 --> 00:34:06,945 FAVORABLE TARGET AND THEY ARE 754 00:34:06,945 --> 00:34:08,647 INTO PHASE 2 WHERE 755 00:34:08,647 --> 00:34:11,283 PREEMILYINARLY, THEY ARE SEEING 756 00:34:11,283 --> 00:34:13,085 SOME FUNCTIONAL EFFECTS SO IN 757 00:34:13,085 --> 00:34:16,622 MANY WAYS SOME POTENTIAL PROOF 758 00:34:16,622 --> 00:34:22,394 OF PRINCIPLE USING AN AI-DRIVEN 759 00:34:22,394 --> 00:34:24,763 APPROACH OF DRUG DISCOVERY 760 00:34:24,763 --> 00:34:25,998 TARGET AND VALIDATION AND 761 00:34:25,998 --> 00:34:26,298 DEVELOPMENT. 762 00:34:26,298 --> 00:34:27,866 SO WE THINK THIS IS AN EXCITING 763 00:34:27,866 --> 00:34:29,835 AREA WHERE THE NHLBI COMMUNITY 764 00:34:29,835 --> 00:34:31,103 NEEDS TO PARTNER WITH THE 765 00:34:31,103 --> 00:34:34,873 PRIVATE SECTOR TO REALLY DRIVE. 766 00:34:34,873 --> 00:34:35,574 NEXT SLIDE, PLEASE. 767 00:34:35,574 --> 00:34:36,742 AND TOWARD THAT END, WE THINK WE 768 00:34:36,742 --> 00:34:42,281 HAVE A LOT OF THE RESOURCES AND 769 00:34:42,281 --> 00:34:45,884 ELEMENTS FOR AN AI READY SET OF 770 00:34:45,884 --> 00:34:51,223 DATA RESOURCES AND STRATEGIES TO 771 00:34:51,223 --> 00:34:54,426 START TO BEGIN TO DEVELOP 772 00:34:54,426 --> 00:34:56,828 APPROACHES IN DEVELOPING AND 773 00:34:56,828 --> 00:34:58,530 PREEMPTING CHRONIC DISEASES IN 774 00:34:58,530 --> 00:35:00,599 OUR PORTFOLIO, NEXT SLIDE. 775 00:35:00,599 --> 00:35:03,902 AND WE SORT OF END WITH A 776 00:35:03,902 --> 00:35:04,236 FORESHADOWING. 777 00:35:04,236 --> 00:35:06,138 THIS IS STILL EXTREMELY 778 00:35:06,138 --> 00:35:07,739 CONCEPTUAL AND I'M GOING TO BE 779 00:35:07,739 --> 00:35:11,243 DETENDING ON OUR NEW LEADERSHIP 780 00:35:11,243 --> 00:35:13,178 IN DATA SCIENCE AND PRECISION 781 00:35:13,178 --> 00:35:14,446 MEDICINE AS THIS CONTINUES TO 782 00:35:14,446 --> 00:35:18,283 EVOLVE AS A CONCEPT, BUT WE 783 00:35:18,283 --> 00:35:21,353 THINK THERE'S GREAT POTENTIAL 784 00:35:21,353 --> 00:35:24,156 FOR THE NHLBI COMMUNITY TO 785 00:35:24,156 --> 00:35:27,726 REALLY ENGAGE AND INVITE INTO 786 00:35:27,726 --> 00:35:31,930 OUR FIELD REAL DATA SCIENCE AND 787 00:35:31,930 --> 00:35:34,466 AI EXPERTS TO WORK SHOULDER, 788 00:35:34,466 --> 00:35:38,103 SHOULDER AND INTERDISCIPLINARY 789 00:35:38,103 --> 00:35:40,706 TEAM FASHION WHERE YOU HAVE 790 00:35:40,706 --> 00:35:42,741 COMPUTATIONAL BIOLOGISTS AND 791 00:35:42,741 --> 00:35:45,577 CLINICIANS WHO HAVE INDEPTH 792 00:35:45,577 --> 00:35:47,379 UNDERSTANDING OF PHENOTYPE AND 793 00:35:47,379 --> 00:35:48,313 POPULATION SCIENTISTS WHO 794 00:35:48,313 --> 00:35:51,350 UNDERSTAND THESE THINGS AT SCALE 795 00:35:51,350 --> 00:35:55,187 AND ALL GETTING TOGETHER TO 796 00:35:55,187 --> 00:35:57,589 START TO REALLY CHARACTERIZE THE 797 00:35:57,589 --> 00:35:59,624 WHOLE HUMAN SYSTEMS BIOLOGY OF 798 00:35:59,624 --> 00:36:01,126 HEALTH AND IT'S IMPLICATIONS FOR 799 00:36:01,126 --> 00:36:03,895 HEART LUNG AND BLOOD SLEEP 800 00:36:03,895 --> 00:36:07,199 DISORDERS IN WAYS THAT CAN LINK 801 00:36:07,199 --> 00:36:08,967 THE DEEP PHENOTYPING THAT'S 802 00:36:08,967 --> 00:36:10,469 ALREADY IN FOR EXAMPLE, MANY OF 803 00:36:10,469 --> 00:36:13,505 OUR COHORT STUDIES, MANY OF OUR 804 00:36:13,505 --> 00:36:14,706 REGISTRIES, OF VARIOUS SORTS AND 805 00:36:14,706 --> 00:36:17,976 THEN START TO GET THAT IN A 806 00:36:17,976 --> 00:36:19,378 HARMONIZED FORM SUCH THAT WE'RE 807 00:36:19,378 --> 00:36:22,414 ALL SPEAKING THE SAME LANGUAGE 808 00:36:22,414 --> 00:36:24,282 EVEN THOUGH WE OFTEN TALK ABOUT 809 00:36:24,282 --> 00:36:25,450 DIFFERENT ORGANS BUT THEN WE 810 00:36:25,450 --> 00:36:26,651 HAVE WAYS OF INSURING THAT THE 811 00:36:26,651 --> 00:36:29,921 DAILY BASIS THEA COLLECTION IS 812 00:36:29,921 --> 00:36:31,957 ALSO HARMONIZED, AND THEREFORE 813 00:36:31,957 --> 00:36:36,128 MORE MACHINE READABLE AND READY 814 00:36:36,128 --> 00:36:39,698 AND AMINABLE TO LAYERING ON AI 815 00:36:39,698 --> 00:36:41,600 TOOLS, AND APPLICATIONS THAT ARE 816 00:36:41,600 --> 00:36:45,237 DEVELOPED THAT WE HOPE THIS 817 00:36:45,237 --> 00:36:46,972 COMMUNITY ENRICHED BY AI EXPERTS 818 00:36:46,972 --> 00:36:48,707 LOOKING AND WORKING WITH OUR 819 00:36:48,707 --> 00:36:53,145 DATA SETS, WHETHER IT'S IMAGING, 820 00:36:53,145 --> 00:36:56,548 OR OUR MULTIOMICS IN WAYS IN 821 00:36:56,548 --> 00:36:59,418 WHICH HAVEN'T BEEN DEVELOPED 822 00:36:59,418 --> 00:37:01,119 PARTICULARLY USING SOME OF THEIR 823 00:37:01,119 --> 00:37:02,888 NEW TOOLS AND GENERATIVE AI, ET 824 00:37:02,888 --> 00:37:05,390 CETERA AS THAT FIELD MOVES. 825 00:37:05,390 --> 00:37:11,129 AND THEN THESE CAN BE LINKED TO 826 00:37:11,129 --> 00:37:12,197 AI-DRIVEN LUNG AND HEART 827 00:37:12,197 --> 00:37:13,732 PROJECTS MANY OF WHICH WILL BE 828 00:37:13,732 --> 00:37:15,667 DIFFERENT TEST CASES OF HOW 829 00:37:15,667 --> 00:37:17,536 THESE DIFFERENT GROUPS CAN WORK 830 00:37:17,536 --> 00:37:19,271 TOGETHER AND INTERDISCIPLINARY 831 00:37:19,271 --> 00:37:22,107 TEAMS TO UNDERSTAND THESE 832 00:37:22,107 --> 00:37:23,375 MULTILEVEL, MULTIMODAL DATA SETS 833 00:37:23,375 --> 00:37:26,111 THAT ARE ALSO INCLUSIVE OF THE 834 00:37:26,111 --> 00:37:27,946 SOCIAL DETERMINANTS OF HEALTH, 835 00:37:27,946 --> 00:37:30,082 ENVIRONMENT EXPOSURE AS WELL AS 836 00:37:30,082 --> 00:37:33,085 THE IMPACT THEY'RE HAVING ON U 837 00:37:33,085 --> 00:37:34,119 MAN SYSTEMS BIOLOGY. 838 00:37:34,119 --> 00:37:35,987 -- HUMAN SYSTEMS BIOLOGY. 839 00:37:35,987 --> 00:37:39,925 SO WE ENVISION MODULES THAT 840 00:37:39,925 --> 00:37:40,992 MIGHT LINK TO CHRONIC LUNG 841 00:37:40,992 --> 00:37:43,261 DISEASE WHICH WE GAVE AN EXAMPLE 842 00:37:43,261 --> 00:37:45,063 OF MOVING EARLIER IN 843 00:37:45,063 --> 00:37:48,667 INTERSTITIAL LUNG DEC -- DISEAE 844 00:37:48,667 --> 00:37:51,670 AS HAVING A WAY TO HAVE AN 845 00:37:51,670 --> 00:37:53,905 IMPACT ON IPF AND HAVE AN IMPACT 846 00:37:53,905 --> 00:37:55,607 ON IT FOR CHRONIC DISEASE. 847 00:37:55,607 --> 00:38:00,145 WOMEN'S HEALTH WE ALLUDED TO 848 00:38:00,145 --> 00:38:01,746 EARLIER IN CAN WE LOOK AT THE 849 00:38:01,746 --> 00:38:03,815 LIFE SPAN AND RECOGNIZE THAT 850 00:38:03,815 --> 00:38:06,418 PREGNANCY IS A STRESS TEST TO 851 00:38:06,418 --> 00:38:08,186 SOMETHING THAT MAY HAPPEN A 852 00:38:08,186 --> 00:38:10,589 DECADE LATER, IDENTIFYING AND 853 00:38:10,589 --> 00:38:11,857 PRO DICTING OF THAT 854 00:38:11,857 --> 00:38:12,691 TRANSLATIONAL RESEARCH YECTRY, 855 00:38:12,691 --> 00:38:13,825 MODELING OF THAT FACTOR. 856 00:38:13,825 --> 00:38:17,829 THE SAME THING COULD BE SAID FOR 857 00:38:17,829 --> 00:38:19,297 OTHER TRANSITIONS LIKE MACHINE O 858 00:38:19,297 --> 00:38:20,999 PAUSE WHERE TAKING A HUMAN 859 00:38:20,999 --> 00:38:22,467 SYSTEMS BIOLOGY APPROACH, WE CAN 860 00:38:22,467 --> 00:38:25,904 START TO APPRECIATE THE CHANGE 861 00:38:25,904 --> 00:38:28,440 THAT HAPPENS PRE, PERI AND POST 862 00:38:28,440 --> 00:38:29,741 MENOPAUSE AND HOW THE SHIFT 863 00:38:29,741 --> 00:38:31,943 RISKS AND SHIFTS OF DISEASE AND 864 00:38:31,943 --> 00:38:32,244 RESILIENCE. 865 00:38:32,244 --> 00:38:34,479 AND SO, THESE SYSTEMS GIVE US AN 866 00:38:34,479 --> 00:38:36,848 OPPORTUNITY TO DO THAT. 867 00:38:36,848 --> 00:38:39,484 LEVERAGING AS A KEY CENTERPIECE 868 00:38:39,484 --> 00:38:42,821 NHLBI COHORT OF COHORTS, AGAIN 869 00:38:42,821 --> 00:38:45,857 AT SCALE, AND MULTIOMICS WITH 870 00:38:45,857 --> 00:38:48,727 ALL THAT MULTIDIMENSIONAL DATA, 871 00:38:48,727 --> 00:38:49,661 SOCIAL, ENVIRONMENTAL THAT IS 872 00:38:49,661 --> 00:38:51,363 THEN PUT TOGETHER IN WAYS THAT 873 00:38:51,363 --> 00:38:54,432 AGAIN ARE MACHINE READABLE, THAT 874 00:38:54,432 --> 00:38:56,468 CAN HAVE THESE AI APPLICATIONS. 875 00:38:56,468 --> 00:38:59,004 YOU CAN SEE THAT THE SKIN CAN 876 00:38:59,004 --> 00:39:01,573 MOVE TO OTHER PROGRAMS WHETHER 877 00:39:01,573 --> 00:39:02,874 THEY'RE CURRENTLY ENROLLING OR 878 00:39:02,874 --> 00:39:03,942 ENROLLED PREVIOUSLY AND AGAIN, 879 00:39:03,942 --> 00:39:06,778 FITS IN WITH THE MOLECULAR 880 00:39:06,778 --> 00:39:09,181 TAXONOMY OR FOR HEART FAILURE 881 00:39:09,181 --> 00:39:10,682 BEING DONE IN HEART SHARE, 882 00:39:10,682 --> 00:39:12,517 CLEARLY THERE ARE OTHER EXAMPLES 883 00:39:12,517 --> 00:39:15,086 OF SLEEP AND BLOOD THAT WOULD BE 884 00:39:15,086 --> 00:39:19,157 APPLICABLE TO THE SYSTEMS 885 00:39:19,157 --> 00:39:20,292 BIOLOGY COMPUTATIONAL MEDICINE 886 00:39:20,292 --> 00:39:23,361 SORT OF STRATEGY BUILT UPON THE 887 00:39:23,361 --> 00:39:27,766 TOP OF THAT INFRASTRUCTURE OF 888 00:39:27,766 --> 00:39:31,136 DATA OF MULTIOMICS OF AS WELL AS 889 00:39:31,136 --> 00:39:33,205 CLOUD BASED DATA RESOURCE THAT 890 00:39:33,205 --> 00:39:34,806 PROVIDE A CATALYST AND A PLACE 891 00:39:34,806 --> 00:39:36,441 FOR THIS AI TOOL KIT. 892 00:39:36,441 --> 00:39:39,978 WHERE ALL THIS CAN COME 893 00:39:39,978 --> 00:39:40,245 TOGETHER. 894 00:39:40,245 --> 00:39:41,446 SO WE'RE VERY EXCITED ABOUT THE 895 00:39:41,446 --> 00:39:42,881 OPPORTUNITY IT IS AHEAD OF US, 896 00:39:42,881 --> 00:39:45,083 THIS IS I BELIEVE A PLATFORM 897 00:39:45,083 --> 00:39:51,856 THAT WILL BE CRITICAL IF WE ARE 898 00:39:51,856 --> 00:39:55,126 GOING TO PREEMPT CHRONIC 899 00:39:55,126 --> 00:39:55,360 DISEASE. 900 00:39:55,360 --> 00:39:56,094 CERTAINLY DO PRESINGZ 901 00:39:56,094 --> 00:39:57,929 INTERVENTION SO I THINK THIS IS 902 00:39:57,929 --> 00:39:58,830 ALL QUITE TIMELY. 903 00:39:58,830 --> 00:39:59,864 SO NEXT SLIDE, PLEASE. 904 00:39:59,864 --> 00:40:01,399 SO YOU WILL BE HEARING ABOUT THE 905 00:40:01,399 --> 00:40:02,934 CHARGE OF AN AI WORKING GROUP AS 906 00:40:02,934 --> 00:40:07,739 WELL AS OTHER ACTIVITIES THAT 907 00:40:07,739 --> 00:40:11,509 ALIGN WITH THIS ELEMENT AND THIS 908 00:40:11,509 --> 00:40:15,013 VISION AND RETREAT WE HAD LAST 909 00:40:15,013 --> 00:40:17,148 YEAR WHERE DATA SCIENCE AI IS 910 00:40:17,148 --> 00:40:18,883 INTERDISCIPLINARY TEAMS WAS A 911 00:40:18,883 --> 00:40:19,951 MAJOR THEMEATIC TAKE AWAY. 912 00:40:19,951 --> 00:40:23,688 SO WITH THAT I WILL END AND 913 00:40:23,688 --> 00:40:25,190 APPRECIATE THE CIRCLE OF 914 00:40:25,190 --> 00:40:26,491 PARTNERS THAT WILL BE CRITICAL 915 00:40:26,491 --> 00:40:31,096 TO DOING THIS IN A MULTIPRONG, 916 00:40:31,096 --> 00:40:32,030 MULTILEVEL, MULTIMODAL WAY AND 917 00:40:32,030 --> 00:40:34,366 IT WILL TAKE THE ENTIRE 918 00:40:34,366 --> 00:40:35,400 COMMUNITY TO DO IT. 919 00:40:35,400 --> 00:40:45,910 SO THANKS FOR YOUR ATTENTION. 920 00:40:45,910 --> 00:40:47,679 >> THANK YOU DR. GIBBONS DO WE 921 00:40:47,679 --> 00:40:58,156 HAVE ANY OTHER COMMENTS FROM 922 00:41:08,500 --> 00:41:09,634 COUNCIL MEMBERS. 923 00:41:09,634 --> 00:41:10,769 >> AGAIN, THANK YOU. 924 00:41:10,769 --> 00:41:11,536 THAT WAS EXCELLENT. 925 00:41:11,536 --> 00:41:15,240 I REALLY APPRECIATE THE FOCUS 926 00:41:15,240 --> 00:41:17,776 YOU KNOW I THINK HIGHLIGHTING 927 00:41:17,776 --> 00:41:20,845 PARTICULARLY MOST STRUCK ME WAS 928 00:41:20,845 --> 00:41:22,247 PROJECTS THAT INVOLVE THAT 929 00:41:22,247 --> 00:41:23,982 COMMUNITY ENGAGEMENT MECHANISM 930 00:41:23,982 --> 00:41:26,084 AND REALLY EMPHASIZING THE 931 00:41:26,084 --> 00:41:28,720 IMPORTANCE OF YOU KNOW THAT 932 00:41:28,720 --> 00:41:29,654 INPUT AND THAT APPROACH 933 00:41:29,654 --> 00:41:31,756 ADDRESSING SOME OF THESE, OTHER 934 00:41:31,756 --> 00:41:34,693 DETERMINANTS OF HEALTH THAT ARE 935 00:41:34,693 --> 00:41:35,760 CRITICALLY IMPORTANT IN HEALTH 936 00:41:35,760 --> 00:41:37,262 OUTCOMES SO I THINK IT'S REALLY 937 00:41:37,262 --> 00:41:41,766 GREAT TO SEE ALL THE STRONG 938 00:41:41,766 --> 00:41:41,966 WORK. 939 00:41:41,966 --> 00:41:44,102 OVERALL, IN ALL DIRECTIONS BUT 940 00:41:44,102 --> 00:41:44,969 PARTICULARLY THAT FOCUS IS 941 00:41:44,969 --> 00:41:48,206 REALLY GREAT TO SEE THAT 942 00:41:48,206 --> 00:41:48,940 SUSTAINED, YOU KNOW IT'S GOING 943 00:41:48,940 --> 00:41:51,810 TO BE A SUSTAINED FOCUS FOR 944 00:41:51,810 --> 00:41:53,044 INSTITUTE, BUT THANK YOU VERY 945 00:41:53,044 --> 00:41:53,378 MUCH. 946 00:41:53,378 --> 00:41:55,847 I THOUGHT IT WAS WONDERFUL. 947 00:41:55,847 --> 00:42:04,589 >> THANK YOU FOR THE COMMENT. 948 00:42:04,589 --> 00:42:06,057 >> ANY OTHER COMMENTS? 949 00:42:06,057 --> 00:42:06,624 QUESTIONS FROM COUNCIL? 950 00:42:06,624 --> 00:42:11,563 I THOUGHT I SAW A HAND RAISE BUT 951 00:42:11,563 --> 00:42:12,831 DOESN'T LOOK LIKE IT. 952 00:42:12,831 --> 00:42:14,232 OKAY, SO WE'RE AT THE POINT 953 00:42:14,232 --> 00:42:16,201 WHERE WE'RE SCHEDULED TO HAVE A 954 00:42:16,201 --> 00:42:18,036 30 MINUTE LUNCH BREAK AT THIS 955 00:42:18,036 --> 00:42:20,238 POINT IN TIME, AND SO, AT THIS 956 00:42:20,238 --> 00:42:24,876 POINT IN TIME WE WILL RECONVENE 957 00:42:24,876 --> 00:42:29,981 AT 12:45 WITH THE OPEN SESSION. 958 00:42:29,981 --> 00:42:32,584 >> THEY CAN STAY LOGGED IN? 959 00:42:32,584 --> 00:42:35,253 >> THEY CAN STAY LOGGED IN, YES, 960 00:42:35,253 --> 00:42:37,288 YES, THAT MIGHT BE EASIER IF YOU 961 00:42:37,288 --> 00:42:39,224 STAY LOGGED IN. 962 00:42:39,224 --> 00:42:40,487 WE WILL RECONVENE AT 12:45. THANK YOU. 963 00:42:40,487 --> 00:42:44,357 OKAY, WELCOME BACK FROM 964 00:42:44,357 --> 00:42:45,292 LUNCH, EVERYONE. 965 00:42:45,292 --> 00:42:47,127 WE WILL PROCEED WITH THE NEXT 966 00:42:47,127 --> 00:42:51,064 ITEMOT AGENDA WHICH IS OUR 967 00:42:51,064 --> 00:42:55,201 TRIENNIAL INCLUSION REPORT BY 968 00:42:55,201 --> 00:42:56,336 KATHRYN KAVOUNIS, AND THEN WE 969 00:42:56,336 --> 00:42:58,672 WILL OPEN IT UP TO THE COUNCIL 970 00:42:58,672 --> 00:43:01,308 FOR COMMENTS OR QUESTIONS. 971 00:43:01,308 --> 00:43:07,280 THANK YOU, KATIE. 972 00:43:07,280 --> 00:43:07,914 >> ALL RIGHT, THANK YOU VERY 973 00:43:07,914 --> 00:43:08,114 MUCH. 974 00:43:08,114 --> 00:43:10,650 I AM THRILLED TO BE HERE, IT'S 975 00:43:10,650 --> 00:43:14,487 APRIL, BUT IT FEELS LIKE 976 00:43:14,487 --> 00:43:20,093 FEBRUARY, SO, I APPRECIATE BEING 977 00:43:20,093 --> 00:43:21,695 INVITED. 978 00:43:21,695 --> 00:43:24,531 TODAY I AM GOING TO TALK ABOUT 979 00:43:24,531 --> 00:43:26,132 THE TRIENNIAL INCLUSION REPORT, 980 00:43:26,132 --> 00:43:27,400 I WILL TALK A LITTLE BIT ABOUT 981 00:43:27,400 --> 00:43:31,404 THE LAW AND THE POLICIES GOING 982 00:43:31,404 --> 00:43:32,305 INTO THIS REPORTING REQUIREMENT 983 00:43:32,305 --> 00:43:39,579 AND THEN I WILL DIVE INTO OUR 984 00:43:39,579 --> 00:43:39,980 NHLBI DATA. 985 00:43:39,980 --> 00:43:50,357 CAN YOU HEAR ME OKAY? 986 00:43:58,131 --> 00:44:01,568 SO THE TRIENNIAL REPORT IS 987 00:44:01,568 --> 00:44:03,636 MANDATED BY CONGRESS SO EVERY 3 988 00:44:03,636 --> 00:44:05,805 YEARS EACH NIH INSTITUTE AND 989 00:44:05,805 --> 00:44:06,806 CENTER PROVIDES CERTIFICATION OF 990 00:44:06,806 --> 00:44:09,776 OUR COMPLIANCE WITH THE LAWS AND 991 00:44:09,776 --> 00:44:11,978 THE POLICIES OUR REPORT 992 00:44:11,978 --> 00:44:13,146 DESCRIBES OUR PROCEDURES AND HOW 993 00:44:13,146 --> 00:44:17,017 WE COMPLY AS WELL AS THE ACTUAL 994 00:44:17,017 --> 00:44:20,854 DATA AND THIS YEAR'S REPORT WILL 995 00:44:20,854 --> 00:44:31,398 COVER FISCAL YEAR 2022, 23, AND 996 00:44:36,569 --> 00:44:37,604 24. 997 00:44:37,604 --> 00:44:39,572 SO OUR INCLUSION 998 00:44:39,572 --> 00:44:40,740 RESPONSIBILITIES FOR CODIFIED IN 999 00:44:40,740 --> 00:44:44,511 LAW IN THE REVITALIZATION ACT OF 1000 00:44:44,511 --> 00:44:46,780 FLEEN 93 AND THIS LAW TALKED 1001 00:44:46,780 --> 00:44:48,515 ABOUT WOMEN AND MINORITIES BEING 1002 00:44:48,515 --> 00:44:52,352 INCLUDED IN ALL CLINICAL 1003 00:44:52,352 --> 00:44:53,987 RESEARCH STUDIES UNLESS THERE 1004 00:44:53,987 --> 00:44:55,422 WAS A COMPELLING RATIONAL FOR 1005 00:44:55,422 --> 00:44:56,856 EXCLUSION AND THE PURPOSE WAS 1006 00:44:56,856 --> 00:44:59,392 REALLY TO MAKE SURE THAT 1007 00:44:59,392 --> 00:45:01,361 INVESTIGATORS ARE PROVIDING THE 1008 00:45:01,361 --> 00:45:02,595 PARTICIPATES THAT ARE 1009 00:45:02,595 --> 00:45:03,430 APPROPRIATE TO THEIR SCIENTIFIC 1010 00:45:03,430 --> 00:45:04,864 AIMS AND MAKING SURE THAT THE 1011 00:45:04,864 --> 00:45:08,134 RISKS AND BENEFITS WERE EQUALLY 1012 00:45:08,134 --> 00:45:09,269 DISTRIBUTED THROUGHOUT OUR 1013 00:45:09,269 --> 00:45:19,813 SOCIETY TO LEAD TO GENERALIZABLE 1014 00:45:21,981 --> 00:45:24,784 DATA THE LAW ALSO HAS 1015 00:45:24,784 --> 00:45:25,952 REQUIREMENTS FOR THAT DATA AND 1016 00:45:25,952 --> 00:45:27,220 YOU NOTICE WHEN I DIG INTO THE 1017 00:45:27,220 --> 00:45:29,089 DATA YOU WILL SEE THOSE STUDIES, 1018 00:45:29,089 --> 00:45:39,632 AND THOSE ARE PROVIDED TO REPORT 1019 00:45:40,133 --> 00:45:42,435 ETHNICITY, SEX, AND THE LAW SAYS 1020 00:45:42,435 --> 00:45:43,770 WE PROVIDE THAT OUR COUNCILS. 1021 00:45:43,770 --> 00:45:47,107 SO AS I MENTIONED, THIS DATA IS 1022 00:45:47,107 --> 00:45:48,842 REPORTED BY CONGRESS EVERY 3 1023 00:45:48,842 --> 00:45:51,377 YEARS, OUR REPORT DRIEBED OUR 1024 00:45:51,377 --> 00:45:52,479 NHLBI PROCEDURES WITH COMPLYING 1025 00:45:52,479 --> 00:45:53,913 WITH THE LAWS AND POLICIES IN 1026 00:45:53,913 --> 00:45:55,281 GUIDANCE AND WILL SUMMARIZE THE 1027 00:45:55,281 --> 00:45:57,383 ACTUAL DATA AND AGAIN, THE 1028 00:45:57,383 --> 00:46:02,422 PURPOSE IS TO CERT NIGH OUR 1029 00:46:02,422 --> 00:46:12,866 COMPLIANCE AND NOTICE OUR 1030 00:46:23,176 --> 00:46:25,545 COUNCIL, BOTH OF THESE GROUPS 1031 00:46:25,545 --> 00:46:28,348 ARE FOCUSED ON HAVING 1032 00:46:28,348 --> 00:46:30,083 INVESTIGATORS ENROLL THE RIGHT 1033 00:46:30,083 --> 00:46:31,384 PARTICIPANTS FOR THEIR STUDIES 1034 00:46:31,384 --> 00:46:33,486 BASED ON THE SCIENTIFIC AIMS AND 1035 00:46:33,486 --> 00:46:35,288 IT REQUIRES THAT INVESTIGATORS 1036 00:46:35,288 --> 00:46:39,659 IN THE APPLICATIONS DESCRIBE 1037 00:46:39,659 --> 00:46:41,961 THEIR PLANS AND JUSTIFY ANY 1038 00:46:41,961 --> 00:46:43,730 EXCLUSIONS AND AGAIN, PHASE 3 1039 00:46:43,730 --> 00:46:47,100 CLINICAL TRIALS ARE ALSO 1040 00:46:47,100 --> 00:46:48,401 REQUIRED TO PERFORM VALID 1041 00:46:48,401 --> 00:46:51,137 ANALYSIS BY SEX, RACE AND GENDER 1042 00:46:51,137 --> 00:46:55,542 AND ETHNICITY AND REPORT THOSE 1043 00:46:55,542 --> 00:47:01,814 IN CLINICAL TRIALS .GOV. 1044 00:47:01,814 --> 00:47:03,516 IN 2019 I WANT TO MENTION THERE 1045 00:47:03,516 --> 00:47:05,485 WERE CHANGES IN THE INCLUSION OF 1046 00:47:05,485 --> 00:47:06,586 LIFE SPAN POLICY, INITIALLY IT 1047 00:47:06,586 --> 00:47:07,987 WAS CHILDREN AND IT WAS 1048 00:47:07,987 --> 00:47:09,422 BROADENED TO ALSO INCLUDE A 1049 00:47:09,422 --> 00:47:12,025 FOCUS ON OLDER ADULTS AND THIS 1050 00:47:12,025 --> 00:47:14,227 HAS AN IMPACT ON OUR AGE DATA 1051 00:47:14,227 --> 00:47:16,196 THEY WILL BE PRESENTING LATER 1052 00:47:16,196 --> 00:47:18,031 BECAUSE IT LAUNCHED A NEW 1053 00:47:18,031 --> 00:47:19,499 ENVIRONMENT FOR INVESTIGATORS TO 1054 00:47:19,499 --> 00:47:29,943 REPORT AGE AT ENROLLMENT. 1055 00:47:35,682 --> 00:47:38,585 SO WHAT ARE OUR TERMS, THERE'S 1056 00:47:38,585 --> 00:47:41,321 REVIEW AND PROGRAMS AND GRANTS 1057 00:47:41,321 --> 00:47:42,789 MANAGEMENT AND PAID AND ARE 1058 00:47:42,789 --> 00:47:44,123 THOSE JUSTIFIED FOR THE 1059 00:47:44,123 --> 00:47:47,093 SCIENTIFIC AIMS OF THE STUDY AND 1060 00:47:47,093 --> 00:47:49,329 WE WANT TO MAKE SURE THE 1061 00:47:49,329 --> 00:47:52,131 PROPOSED PORTION OF THE STUDY 1062 00:47:52,131 --> 00:47:53,166 PARTICIPANTS ARE APPROPRIATE FOR 1063 00:47:53,166 --> 00:47:54,634 THE DISEASE BEING STUDIED AND IF 1064 00:47:54,634 --> 00:47:56,970 THEY ARE TO BE GENERALIZED 1065 00:47:56,970 --> 00:47:58,137 ACROSS A BROADER POPULATION THEN 1066 00:47:58,137 --> 00:47:59,405 WE START LOOKING AT THE 1067 00:47:59,405 --> 00:48:01,007 INFORMATION IN THE U.S. CENSUS 1068 00:48:01,007 --> 00:48:04,077 WHICH THE LATEST VERSION SHOWED 1069 00:48:04,077 --> 00:48:09,782 51% WOMEN AND 38% NONWHITE 1070 00:48:09,782 --> 00:48:10,617 INDIVIDUALS AND NOT ONLY DO WE 1071 00:48:10,617 --> 00:48:14,020 WANT TO MAKE SURE THAT 1072 00:48:14,020 --> 00:48:14,821 INVESTIGATORS ARE PROPOSING 1073 00:48:14,821 --> 00:48:15,788 APPROPRIATE PLANS BUT WE ALSO 1074 00:48:15,788 --> 00:48:17,557 WANT TO HOLD THEM ACCOUNTABLE SO 1075 00:48:17,557 --> 00:48:18,591 WHEN PROGRESS IS REVIEWED WE 1076 00:48:18,591 --> 00:48:25,598 WANT TO MAKE SURE THEY ARE 1077 00:48:25,598 --> 00:48:26,466 MEETING THEIR TARGETS. 1078 00:48:26,466 --> 00:48:28,301 SO AS I MENTIONED OUR REPORT 1079 00:48:28,301 --> 00:48:31,638 WILL BE POSTED TO CONGRESS AND 1080 00:48:31,638 --> 00:48:34,907 POSTED ON THE PUBLIC WEBSITE. 1081 00:48:34,907 --> 00:48:36,009 THERE'S THE LINK WHERE THESE 1082 00:48:36,009 --> 00:48:38,444 DATA ARE POSTED AND THE DATA ARE 1083 00:48:38,444 --> 00:48:43,316 PRESENTED BOTH IN TERMS OF NIH 1084 00:48:43,316 --> 00:48:52,525 AGGREGATE DATA BUT ALSO BY EACH 1085 00:48:52,525 --> 00:48:52,959 INSTITUTE OR CENTER. 1086 00:48:52,959 --> 00:48:56,095 THE DAILY BASIS THEA I'M 1087 00:48:56,095 --> 00:48:57,830 COVERING TODAY WILL COVER GRANTS 1088 00:48:57,830 --> 00:48:59,766 AND CONTRACTS WITH HUMAN 1089 00:48:59,766 --> 00:49:01,000 SUBJECTS AND EXCLUDES ANALYSIS 1090 00:49:01,000 --> 00:49:01,901 OF EXISTING DATA SETS. 1091 00:49:01,901 --> 00:49:04,237 SO TODAY I WILL TALK ABOUT 1092 00:49:04,237 --> 00:49:04,537 ENROLLMENT. 1093 00:49:04,537 --> 00:49:09,042 SO OUR FIRST SET OF GRAPHS AND 1094 00:49:09,042 --> 00:49:10,943 TABLES TALK ABOUT THE OVERALL 1095 00:49:10,943 --> 00:49:13,246 ENROLLMENT, IT'S BROKEN DOWN FOR 1096 00:49:13,246 --> 00:49:13,846 22, 23, AND 24. 1097 00:49:13,846 --> 00:49:18,685 YOU WILL SEE IN 22, WE'RE 1098 00:49:18,685 --> 00:49:21,688 REPORTING 490 -- OVER 490,000 1099 00:49:21,688 --> 00:49:28,761 PARTICIPANTS AND THEN A BIG JUMP 1100 00:49:28,761 --> 00:49:32,231 IN 2023, AND 2024 SO THE LOWER 1101 00:49:32,231 --> 00:49:34,334 NUMBERS IN 22 ARE IN LINE WITH 1102 00:49:34,334 --> 00:49:35,668 THE LOWER COVID FIGURES, WE DID 1103 00:49:35,668 --> 00:49:37,737 HAVE A DROP AND THEN IN 23 AND 1104 00:49:37,737 --> 00:49:42,241 24 WE BUMPED BACK UP TO MORE 1105 00:49:42,241 --> 00:49:43,076 NORMAL PRECOVID NUMBERS BUT IF 1106 00:49:43,076 --> 00:49:45,611 WE TAKE A CLOSER LOOK AT THE 1107 00:49:45,611 --> 00:49:46,679 DATA BROKEN DOWN BY THE GREEN 1108 00:49:46,679 --> 00:49:50,717 SECTION OF THE GRAPH, THE BLUE 1109 00:49:50,717 --> 00:49:52,885 PARTICIPANTS ARE U.S. ENROLLMENT 1110 00:49:52,885 --> 00:49:55,455 VERSUS THE ORANGE WHICH ARE 1111 00:49:55,455 --> 00:49:56,656 FOREIGN PARTICIPANTS THAT CHANGE 1112 00:49:56,656 --> 00:49:59,859 IN ENROLLMENT IS PRETTY MUCH 1113 00:49:59,859 --> 00:50:01,627 MADE UP BY NEW FOREIGN 1114 00:50:01,627 --> 00:50:02,395 ENROLLMENT. 1115 00:50:02,395 --> 00:50:04,364 SO WHEN WE DUG A LITTLE DEEPER 1116 00:50:04,364 --> 00:50:09,335 INTO THE DATA WE REALIZE THAT 1117 00:50:09,335 --> 00:50:11,170 OUR PARTICIPANTS IN 2023, THAT 1118 00:50:11,170 --> 00:50:13,673 INCREASE IN FOREIGN PARTICIPANTS 1119 00:50:13,673 --> 00:50:16,275 WAS REALLY ACCOUNTED FOR BY 1120 00:50:16,275 --> 00:50:17,910 THROUGH NEW STUDIES ACROSS 1121 00:50:17,910 --> 00:50:19,879 NIGERIA AND UGANDA, SO AS I GO 1122 00:50:19,879 --> 00:50:21,581 THROUGH THE REST OF THE CHARTS, 1123 00:50:21,581 --> 00:50:23,282 I WILL TAKE SOME TIME TO CALL 1124 00:50:23,282 --> 00:50:25,618 OUT KIND OF HOW THESE DATA 1125 00:50:25,618 --> 00:50:31,124 INFLUENCE OUR OVERALL NUMBERS 1126 00:50:31,124 --> 00:50:34,193 AND WE'RE REQUIRED TO ALSO DIG 1127 00:50:34,193 --> 00:50:36,496 DEEPER INTO OUR PHASE 3 CLINICAL 1128 00:50:36,496 --> 00:50:37,864 TRIALS BASED ON ADDITIONAL 1129 00:50:37,864 --> 00:50:38,731 REQUIREMENTS FOR THOSE STUDIES 1130 00:50:38,731 --> 00:50:43,035 AND FOR THESE DATA, ACROSS 2022, 1131 00:50:43,035 --> 00:50:46,339 AND 2023, WE WERE AT OVER 70,000 1132 00:50:46,339 --> 00:50:47,306 PARTICIPANTS IN THESE PHASE 3 1133 00:50:47,306 --> 00:50:49,742 TRIALS AND THEN WITH A LARGE 1134 00:50:49,742 --> 00:50:52,445 DROP IN 2024 DOWN TO JUST OVER 1135 00:50:52,445 --> 00:50:54,113 26,000 AND THIS WAS REALLY 1136 00:50:54,113 --> 00:50:55,481 ACCOUNTED FOR BY THE COMPLETION 1137 00:50:55,481 --> 00:50:58,284 OF THE WISH TRIAL, AND THIS WAS 1138 00:50:58,284 --> 00:50:59,919 AMONG PARTICIPANTS IN THE 1139 00:50:59,919 --> 00:51:02,855 WOMEN'S HELT INITIATIVE, SO IT 1140 00:51:02,855 --> 00:51:07,393 WAS OVER 49,000 WOMEN IN THIS 1141 00:51:07,393 --> 00:51:08,961 PHASE 3 TRIAL SO AGAIN AS I MOVE 1142 00:51:08,961 --> 00:51:10,596 THROUGH THE OTHER GRAPHS WE WILL 1143 00:51:10,596 --> 00:51:17,403 SEE HOW THIS WHISH TRIAL 1144 00:51:17,403 --> 00:51:18,671 IMPACTED THE DEMOGRAPHIC AND 1145 00:51:18,671 --> 00:51:20,072 OTHER SLIDES. 1146 00:51:20,072 --> 00:51:23,843 SO ENROLLMENT BY SEX AND THIS S 1147 00:51:23,843 --> 00:51:25,278 AGAIN ALL HUMAN RESEARCH, ACROSS 1148 00:51:25,278 --> 00:51:27,246 THE YEARS WAS PRETTY CONSISTENT, 1149 00:51:27,246 --> 00:51:29,182 THE ORANGE SECTION OF THE PIE 1150 00:51:29,182 --> 00:51:30,283 HERE IS FEMALE ENROLLMENT WITH 1151 00:51:30,283 --> 00:51:34,787 THE BLUE AS MALE AND 3% IN 2022 1152 00:51:34,787 --> 00:51:37,857 THAT GRAY BAR IS UNKNOWN. 1153 00:51:37,857 --> 00:51:41,961 SO AGAIN, WE HAVE 55% IN 2022, 1154 00:51:41,961 --> 00:51:45,798 58% WOMEN IN 2023, AND 54% IN 1155 00:51:45,798 --> 00:51:49,001 2024 AND AGAIN, THIS IS MY THIRD 1156 00:51:49,001 --> 00:51:50,536 TRIENNIAL REPORT, SO ACROSS THE 1157 00:51:50,536 --> 00:51:52,738 YEARS, THIS IS A FAIRLY 1158 00:51:52,738 --> 00:51:56,442 CONSISTENT PERCENTAGE FOR 1159 00:51:56,442 --> 00:51:57,243 ENROLLMENT OF WOMEN. 1160 00:51:57,243 --> 00:51:59,645 WHEN WE DIG DOWN INTO THE PHASE 1161 00:51:59,645 --> 00:52:04,417 3 TRIALS, WE SEE THAT THIS LARGE 1162 00:52:04,417 --> 00:52:06,686 WISH TRIAL, AGAIN REALLY SKEWS 1163 00:52:06,686 --> 00:52:08,421 THE DATA IN 2022 AND 2023. 1164 00:52:08,421 --> 00:52:13,092 SO IT LOOKS LIKE WE HAVE 81% 1165 00:52:13,092 --> 00:52:15,728 ENROLLMENT OF WOMEN IN 2022 AND 1166 00:52:15,728 --> 00:52:18,030 2023, BUT IF WE LOOKED AT THOSE 1167 00:52:18,030 --> 00:52:19,098 SAME YEARS WITHOUT THE WISH 1168 00:52:19,098 --> 00:52:23,402 TRIAL, WE WOULD BE AT 48% WOMEN 1169 00:52:23,402 --> 00:52:27,440 AND 41% ACROSS 2022 AND 2023. 1170 00:52:27,440 --> 00:52:29,041 AND THAT'S SIMILAR TO 2024 AFTER 1171 00:52:29,041 --> 00:52:32,912 THE WISH STUDY WAS COMPLETED 1172 00:52:32,912 --> 00:52:34,380 WHERE WE'RE 844% ENROLLMENT OF 1173 00:52:34,380 --> 00:52:36,949 WOMEN AND WHEN I LOOK BACK AT 1174 00:52:36,949 --> 00:52:39,018 THE TRIENNIAL REPORTS THOSE 1175 00:52:39,018 --> 00:52:41,387 ENROLLMENT RANGED FOR WOMEN IN 1176 00:52:41,387 --> 00:52:45,124 PHASE 3 TRIALS FROM 48% TO 42%. 1177 00:52:45,124 --> 00:52:47,560 SO THIS IS STILL THE 2024 1178 00:52:47,560 --> 00:52:50,396 NUMBERS ARE STILL PRETTY SIMILAR 1179 00:52:50,396 --> 00:52:52,665 AND THERE'S ROOM FOR IMPROVEMENT 1180 00:52:52,665 --> 00:52:55,735 IN OUR ROLE OF WOMEN IN PHASE 3 1181 00:52:55,735 --> 00:52:56,168 TRIALS. 1182 00:52:56,168 --> 00:52:59,472 THE NEXT SET OF SLIDES ARE BUSY, 1183 00:52:59,472 --> 00:53:02,008 I KNOW BUT THEY BREAK DOWN THE 1184 00:53:02,008 --> 00:53:04,143 ENROLLMENT OF OUR PARTICIPANTS 1185 00:53:04,143 --> 00:53:06,412 BY SELF-REPORTED RACE 1186 00:53:06,412 --> 00:53:06,712 CATEGORIES. 1187 00:53:06,712 --> 00:53:11,183 SO THE FIRST COLUMN IS 2022, 1188 00:53:11,183 --> 00:53:14,487 FOLLOWED BY 2023 AND 2024, AND 1189 00:53:14,487 --> 00:53:17,290 THE STOP SLICE THIS DARK PURPLE 1190 00:53:17,290 --> 00:53:21,527 COLOR ARE UNKNOWN OR NOT 1191 00:53:21,527 --> 00:53:28,634 REPORTED EMPLOY SO THE 7.9% AND 1192 00:53:28,634 --> 00:53:31,037 7.2% AND 7.5% ACROSS THE YEARS 1193 00:53:31,037 --> 00:53:33,339 ARE WHERE THE INVESTIGATORS 1194 00:53:33,339 --> 00:53:35,074 DIDN'T REPORT OR DIDN'T GET TO 1195 00:53:35,074 --> 00:53:37,343 COLLECT THE DATA. 1196 00:53:37,343 --> 00:53:39,745 THE NEXT SLICE IS THOSE WHO 1197 00:53:39,745 --> 00:53:41,814 REPORTED MORE THAN 1 RACE. 1198 00:53:41,814 --> 00:53:43,316 THE LARGER BLUE ARE PARTICIPANT 1199 00:53:43,316 --> 00:53:44,584 WHO IS CONSIDER THEMSELVES TO BE 1200 00:53:44,584 --> 00:53:47,787 WHITE AND THE FIGURES DECREASED 1201 00:53:47,787 --> 00:53:49,055 A LITTLE BIT AND I WILL TALK 1202 00:53:49,055 --> 00:53:53,392 MORE ABOUT THAT IN JUST A 1203 00:53:53,392 --> 00:53:53,793 SECOND. 1204 00:53:53,793 --> 00:53:55,461 THE NEXT SECTION IT'S HARD TO 1205 00:53:55,461 --> 00:53:58,898 SEE BUT IT'S NATIVE HAWAIIAN AND 1206 00:53:58,898 --> 00:54:02,068 PACIFIC ISLANDERS, AND IT 1207 00:54:02,068 --> 00:54:05,671 RAINCHLED FROM .2% TO .1% TO .2% 1208 00:54:05,671 --> 00:54:07,306 AGAIN IN 2024 AND THIS IS LOWER 1209 00:54:07,306 --> 00:54:10,743 THAN THE U.S. CENSUS RATE. 1210 00:54:10,743 --> 00:54:13,379 THE NEXT BIGGER SECTION IN GRAY 1211 00:54:13,379 --> 00:54:16,682 ARE PARTICIPANTS WHO REPORTED AS 1212 00:54:16,682 --> 00:54:19,285 BLACK OR AFRICAN AMERICAN. 1213 00:54:19,285 --> 00:54:22,922 IN 2022, WE'RE AT 23%, UP TO 44% 1214 00:54:22,922 --> 00:54:30,796 IN 2023, AND AT 41.8% IN 2024. 1215 00:54:30,796 --> 00:54:32,865 AND THEN THE NEXT SECTION ARE 1216 00:54:32,865 --> 00:54:33,566 ASIAN PARTIC PLAN TO ANALYZE BY 1217 00:54:33,566 --> 00:54:36,168 AGES IN THE PURPLE COLOR 1218 00:54:36,168 --> 00:54:37,670 FOLLOWED BY NATIVE AMERICAN 1219 00:54:37,670 --> 00:54:39,972 INDIAN IN ALASKA NATIVE. 1220 00:54:39,972 --> 00:54:44,210 SO THE INCREASE THAT WE NOTICED 1221 00:54:44,210 --> 00:54:46,412 IN 2023, AND 2024 IN THE BLACK 1222 00:54:46,412 --> 00:54:47,713 ARE AFRICAN AMERICAN CATEGORY 1223 00:54:47,713 --> 00:54:49,015 WAS ALSO INFLUENCED AS A 1224 00:54:49,015 --> 00:54:51,384 MENTIONED EARLIER ABOUT THE 3 1225 00:54:51,384 --> 00:54:54,153 LARGE STUDIES IN UGANDA AND 1226 00:54:54,153 --> 00:54:55,755 NIGERIA THAT WERE LAUNCHED IN 1227 00:54:55,755 --> 00:54:55,988 2023. 1228 00:54:55,988 --> 00:54:57,857 SO WHEN WE DIG A LITTLE DEEPER 1229 00:54:57,857 --> 00:55:00,993 AND LOOK ONLY AT DOMESTIC 1230 00:55:00,993 --> 00:55:03,696 ENROLLMENT, THE PERCENTAGE OF 1231 00:55:03,696 --> 00:55:04,664 AFRICAN AMERICAN PARTICIPANTS 1232 00:55:04,664 --> 00:55:07,199 DOES DECREASE, SO IN 22 WE'RE 1233 00:55:07,199 --> 00:55:12,271 LOOKING AT 16.4%, 2023, 17.5 AND 1234 00:55:12,271 --> 00:55:13,005 2024, 18.2. 1235 00:55:13,005 --> 00:55:18,110 BUT THIS IS HIGHER THAN THE U.S. 1236 00:55:18,110 --> 00:55:20,246 CENSUS REPORTED AS 14%. 1237 00:55:20,246 --> 00:55:22,915 AND THIS IS AN IMPROVEMENT OVER 1238 00:55:22,915 --> 00:55:31,290 THE PREVIOUS TRIENNIAL REPORTS. 1239 00:55:31,290 --> 00:55:38,097 NEXT LOOKING AT PHASE 3 CLINICL 1240 00:55:38,097 --> 00:55:42,201 TRIALS, THE DATA SHOWS 14.1%, IN 1241 00:55:42,201 --> 00:55:45,404 2022, AND 18.4% IN 2023, AND A 1242 00:55:45,404 --> 00:55:47,540 JUMP TO 47.3% IN 2024. 1243 00:55:47,540 --> 00:55:51,143 SO WHEN WE DUG DEEPER INTO THE 1244 00:55:51,143 --> 00:55:54,013 DATA WE REALIZED WE ENROLLED THE 1245 00:55:54,013 --> 00:55:55,748 SAME NUMBER OF AFRICAN AMERICAN 1246 00:55:55,748 --> 00:55:57,016 PARTICIPANTS ACROSS THE YEARS 1247 00:55:57,016 --> 00:55:58,517 BUT THE PERCENTAGE REALLY YUSM 1248 00:55:58,517 --> 00:56:01,320 INDEED 2024 WHEN THE WHISH TRIAL 1249 00:56:01,320 --> 00:56:05,124 COMPLETED BECAUSE AGAIN IT WAS 1250 00:56:05,124 --> 00:56:06,659 49 FEMALE PARTICIPANTS AND THEY 1251 00:56:06,659 --> 00:56:11,430 WERE 41,000 OF THOSE WERE WHITE. 1252 00:56:11,430 --> 00:56:14,166 SO WHEN THAT STUDY COMPLETED OUR 1253 00:56:14,166 --> 00:56:17,169 OTHER RACIAL ASK ETHNIC 1254 00:56:17,169 --> 00:56:23,342 CATEGORIES REALLY JUMPED UP IN 1255 00:56:23,342 --> 00:56:24,009 THE PERCENTAGES. 1256 00:56:24,009 --> 00:56:27,012 I LOOKED AT JUST THE DOMESTIC 1257 00:56:27,012 --> 00:56:29,415 ENROLLMENT AND AGAIN, WE SAW THE 1258 00:56:29,415 --> 00:56:31,283 SAME PATTERN, SO I REALLY THINK 1259 00:56:31,283 --> 00:56:41,026 THIS WAS ANART AN ARTIFACT OF E 1260 00:56:41,026 --> 00:56:42,128 WHISH STUDY COMPLETED. 1261 00:56:42,128 --> 00:56:49,735 THE NEXT STUDY WAS BY THE 1262 00:56:49,735 --> 00:56:52,238 PARTICIPANTS FOR HISPANIC LATINO 1263 00:56:52,238 --> 00:56:55,341 OR NONHISPANIC OR LATINO, AND 1264 00:56:55,341 --> 00:56:59,712 WE'RE ABOUT 12% IN 2022, 23% IN 1265 00:56:59,712 --> 00:57:03,482 20 -- SORRY 9% IN 2023, AND 10% 1266 00:57:03,482 --> 00:57:05,551 IN 2024. 1267 00:57:05,551 --> 00:57:07,186 AND THIS IS SIGNIFICANTLY LOWER 1268 00:57:07,186 --> 00:57:10,289 THANLET U.S. CENSUS WHICH IS 1269 00:57:10,289 --> 00:57:11,991 REPORTING 19% OF HISPANIC OR 1270 00:57:11,991 --> 00:57:12,525 LATINO CITIZEN. 1271 00:57:12,525 --> 00:57:15,561 SO WE WOULD LIKE TO YOU KNOW 1272 00:57:15,561 --> 00:57:17,096 FOCUS ON THIS AS AN AREA OF 1273 00:57:17,096 --> 00:57:18,497 IMPROVEMENT FOR THE FUTURE. 1274 00:57:18,497 --> 00:57:21,834 WHEN WE DIG DEEPER AND LOOK AT 1275 00:57:21,834 --> 00:57:25,371 PHASE 3 CLINICAL TRIALS, WE SEE 1276 00:57:25,371 --> 00:57:27,206 SIMILAR UNDERREPRESENTATION WITH 1277 00:57:27,206 --> 00:57:32,311 11% IN 2022, 7% IN 2023, AND 1278 00:57:32,311 --> 00:57:36,682 THEN 6% IN 2024 BUT PART OF THAT 1279 00:57:36,682 --> 00:57:37,917 IS AN ARTIFACT, 1 LARGE STUDY 1280 00:57:37,917 --> 00:57:38,450 THAT DIDN'T REPORT. 1281 00:57:38,450 --> 00:57:40,853 SO WE HAD A MUCH LARGER UNKNOWN 1282 00:57:40,853 --> 00:57:41,654 OR NOT REPORTED. 1283 00:57:41,654 --> 00:57:44,623 WHEN I REMOVED THAT STUDY, IT 1284 00:57:44,623 --> 00:57:48,594 BROUGHT OUR HISPANIC OR LATINO 1285 00:57:48,594 --> 00:57:49,628 PERCENTAGE UP TO 7% BUT STILL 1286 00:57:49,628 --> 00:57:52,932 THIS IS AN AREA WHERE WE SHOULD 1287 00:57:52,932 --> 00:57:54,834 FOCUS ON THE FUTURE. 1288 00:57:54,834 --> 00:57:56,468 AND THE LAST BIT OF DATA THAT WE 1289 00:57:56,468 --> 00:57:59,305 HAVE IS THE NEW REPORTING BY AGE 1290 00:57:59,305 --> 00:57:59,705 CATEGORIES. 1291 00:57:59,705 --> 00:58:02,508 SO AS I MENTIONED IN 2019, 1292 00:58:02,508 --> 00:58:04,977 INVESTIGATORS ARE REQUIRED TO 1293 00:58:04,977 --> 00:58:07,046 START REPORTING BY AGE AT 1294 00:58:07,046 --> 00:58:08,447 ENROLLMENT AND I GROUPED THE 1295 00:58:08,447 --> 00:58:10,082 DATA HERE BY COLOR, THE FIRST 1296 00:58:10,082 --> 00:58:13,185 BLOCK OF BARS IN THE BLUE HERE 1297 00:58:13,185 --> 00:58:15,054 ARE PARTICIPANTS LESS THAN 18. 1298 00:58:15,054 --> 00:58:20,626 AND WE WERE AT ABOUT 12% OF OUR 1299 00:58:20,626 --> 00:58:23,062 ENROLLMENT, THE RED BARS ARE 1300 00:58:23,062 --> 00:58:25,364 18-64 YEAR-OLDS WHICH IS ABOUT 1301 00:58:25,364 --> 00:58:27,666 57% OF OUR ENROLLMENT AND THEN 1302 00:58:27,666 --> 00:58:29,635 26% ARE THE GREEN BARS, 65 AND 1303 00:58:29,635 --> 00:58:34,273 OLDER AND THIS WAS 1 CATEGORY 1304 00:58:34,273 --> 00:58:36,675 WHERE WE WERE DIFFERENT THAN THE 1305 00:58:36,675 --> 00:58:39,111 NIH LEVEL, WE ARE -- OUR DATA 1306 00:58:39,111 --> 00:58:40,412 SKEWED OLDER OBVIOUSLY FROM OUR 1307 00:58:40,412 --> 00:58:43,282 FOCUS ON CHRONIC DISEASES BUT 1308 00:58:43,282 --> 00:58:44,984 ANOTHER DIFFERENCE IN THE NHLBI 1309 00:58:44,984 --> 00:58:46,819 DATA THAT I WANTED TO CALL OUT 1310 00:58:46,819 --> 00:58:48,888 IS THIS LAST GRAY BAR, THE 1311 00:58:48,888 --> 00:58:53,826 UNKNOWN OR NOT REPORTED SO NHLBI 1312 00:58:53,826 --> 00:58:55,327 IS REPORTING UNKNOWN%, UNKNOWN 1313 00:58:55,327 --> 00:58:57,529 OR NOT KNOWN FOR THESE AGE 1314 00:58:57,529 --> 00:58:59,231 CATEGORIES VERSUS THE NIH WIDE 1315 00:58:59,231 --> 00:59:02,468 LEVEL WHICH IS 25%. 1316 00:59:02,468 --> 00:59:05,170 SO NHLBI DID A TERRIFIC JOB SO 1317 00:59:05,170 --> 00:59:06,872 KUDO TO OUR STAFF AND 1318 00:59:06,872 --> 00:59:08,274 INVESTIGATORS FOR GETTING THIS 1319 00:59:08,274 --> 00:59:09,975 NEW DATA IN. 1320 00:59:09,975 --> 00:59:11,243 IT'S A COMPLICATED PROCESS WHERE 1321 00:59:11,243 --> 00:59:12,945 INVESTIGATOR VS TO UPLOAD A 1322 00:59:12,945 --> 00:59:19,118 SPREADSHEET AND IT HAS TO BE, 1323 00:59:19,118 --> 00:59:20,986 YOU KNOW PERSNICKETY SYSTEM TO 1324 00:59:20,986 --> 00:59:22,254 UPLOAD THAT DATA SO I AM VERY 1325 00:59:22,254 --> 00:59:23,756 PROUD OF OUR STAFF AND 1326 00:59:23,756 --> 00:59:24,790 INVESTIGATORS FOR GOING ABOVE 1327 00:59:24,790 --> 00:59:35,334 AND BEYOND AND GET THANKSGIVING 1328 00:59:37,436 --> 00:59:39,338 DATA IN. 1329 00:59:39,338 --> 00:59:40,639 WITH THE NHLBI POLICIES AND OUR 1330 00:59:40,639 --> 00:59:42,374 NEXT STEPS WILL REALLY BE TO 1331 00:59:42,374 --> 00:59:46,445 CONTINUE TO DIG INTO THE DATA. 1332 00:59:46,445 --> 00:59:48,614 I'M LOOKING FORWARD TO LOOKING 1333 00:59:48,614 --> 00:59:49,915 INTO DIVISION LEVEL AND 1334 00:59:49,915 --> 00:59:52,618 PORTFOLIO LEVEL DATA TO HELP US 1335 00:59:52,618 --> 00:59:53,652 UNDERSTAND NOT ONLY WHERE WE 1336 00:59:53,652 --> 00:59:56,855 NEED TO IMPROVE BUT ALSO 1337 00:59:56,855 --> 00:59:58,490 IDENTIFY AREAS WHERE WE'RE BEING 1338 00:59:58,490 --> 01:00:00,793 SUCCESSFUL AND HELPING TO 1339 01:00:00,793 --> 01:00:03,095 IDENTIFY LESSONS LEARNED AND 1340 01:00:03,095 --> 01:00:04,029 BEST PRACTICES SO WE CAN 1341 01:00:04,029 --> 01:00:04,763 CONTINUE TO SUPPORT OUR 1342 01:00:04,763 --> 01:00:07,633 INVESTIGATOR AND STAFF WITH MORE 1343 01:00:07,633 --> 01:00:08,567 GUIDANCE AND RESOURCES. 1344 01:00:08,567 --> 01:00:09,835 WE DON'T WANT INVESTIGATORS TO 1345 01:00:09,835 --> 01:00:12,838 HAVE TO REINVENT THE WHEEL EVERY 1346 01:00:12,838 --> 01:00:14,239 TIME THEY'RE HAVING INCLUSION 1347 01:00:14,239 --> 01:00:15,207 ISSUES OR LAUNCHING NEW STUDIES 1348 01:00:15,207 --> 01:00:16,942 SO I THINK THAT WILL PROBABLY BE 1349 01:00:16,942 --> 01:00:21,580 THE FOCUS OF OUR NEXT STEPS. 1350 01:00:21,580 --> 01:00:24,750 AND BEFORE I SIGN OFF I WANT TO 1351 01:00:24,750 --> 01:00:26,085 RECOGNIZE MY OFFICE OF RESEARCH 1352 01:00:26,085 --> 01:00:28,053 CLINICAL STAFF FOR DOING AN 1353 01:00:28,053 --> 01:00:29,989 AMAZING JOB, THEY REVIEWED 1354 01:00:29,989 --> 01:00:32,391 THOUSANDS OF STUDY RECORDS AND 1355 01:00:32,391 --> 01:00:34,560 DID A LOT OF DATA CLEANING SO I 1356 01:00:34,560 --> 01:00:36,428 APPRECIATE ALL THOSE EFFORTS. 1357 01:00:36,428 --> 01:00:37,363 SO THANK YOU. 1358 01:00:37,363 --> 01:00:42,868 I'M HAPPY TO ANSWER ANY 1359 01:00:42,868 --> 01:00:43,135 QUESTIONS. 1360 01:00:43,135 --> 01:00:43,502 >> THANK YOU. 1361 01:00:43,502 --> 01:00:51,510 IF WE COULD SEE THE PANEL AND 1362 01:00:51,510 --> 01:00:54,680 THE COUNCIL MEMBERS AND I SEE 1 1363 01:00:54,680 --> 01:00:55,848 HAND RAISED, DOCTOR IN. 1364 01:00:55,848 --> 01:00:58,017 >> THANK YOU THAT WAS AN 1365 01:00:58,017 --> 01:00:59,151 EXCELLENT PRESENTATION, YOU 1366 01:00:59,151 --> 01:01:01,053 MENTIONED 2 STUDIES IN UGANDA 1367 01:01:01,053 --> 01:01:03,155 AND NIGERIA THAT BUMPED UP THE 1368 01:01:03,155 --> 01:01:05,457 ENROLLMENT NUMBERS I THINK IN 2 1369 01:01:05,457 --> 01:01:06,225 CONSECUTIVE YEARS, COULD YOU 1370 01:01:06,225 --> 01:01:09,361 GIVE US A LITTLE BIT MORE ABOUT 1371 01:01:09,361 --> 01:01:10,796 THOSE STUDIES, WHAT STUDIES WERE 1372 01:01:10,796 --> 01:01:11,130 THOSE? 1373 01:01:11,130 --> 01:01:13,432 >> YOU KNOW I DON'T HAVE VERY 1374 01:01:13,432 --> 01:01:15,034 MANY DETAILS ON THOSE, I KNOW 1375 01:01:15,034 --> 01:01:16,668 THAT THEY WERE IMPLEMENTATION 1376 01:01:16,668 --> 01:01:18,404 SCIENCE STUDIES WHERE THEY WERE 1377 01:01:18,404 --> 01:01:20,672 LOOKING, I KNOW 1 OF THEM WAS 1378 01:01:20,672 --> 01:01:23,642 LOOKING AT SOME NEW 1379 01:01:23,642 --> 01:01:25,244 IMPLEMENTATION PROJECTS FOR 1380 01:01:25,244 --> 01:01:26,645 BLOOD PRESSURE, AND I CAN'T -- 1381 01:01:26,645 --> 01:01:28,747 OFF THE TOP OF MY HEAD I CAN'T 1382 01:01:28,747 --> 01:01:30,282 REMEMBER THE DETAILS BUT I KNOW 1383 01:01:30,282 --> 01:01:33,185 THEY WERE REALLY EXCITING 1384 01:01:33,185 --> 01:01:35,387 IMPLEMENTATION SCIENCE STUDIES. 1385 01:01:35,387 --> 01:01:36,121 >> OKAY, THANK YOU. 1386 01:01:36,121 --> 01:01:37,556 >> I AM HAPPY TO PROVIDE THAT 1387 01:01:37,556 --> 01:01:37,856 INFORMATION. 1388 01:01:37,856 --> 01:01:39,024 >> I WOULD APPRECIATE THAT IF 1389 01:01:39,024 --> 01:01:42,394 YOU CAN. 1390 01:01:42,394 --> 01:01:42,661 >> SURE. 1391 01:01:42,661 --> 01:01:43,195 >> THANKS, KATIE. 1392 01:01:43,195 --> 01:01:44,396 >> DR., THIS IS GEORGE, I WANT 1393 01:01:44,396 --> 01:01:47,433 TO CONFIRM THAT THAT IS 1394 01:01:47,433 --> 01:01:48,834 ACCURATE, THOSE THAT WERE IS 1395 01:01:48,834 --> 01:01:52,237 ITED FROM CENTER AND I CAN SEND 1396 01:01:52,237 --> 01:01:56,575 A BRIEF SYNOPSIS TO YOU BOTH 1397 01:01:56,575 --> 01:01:59,311 FOLLOWING THIS MEETING. 1398 01:01:59,311 --> 01:02:01,547 >> THANKS NTHANK YOU. 1399 01:02:01,547 --> 01:02:01,947 >> DR. REDLINE. 1400 01:02:01,947 --> 01:02:02,815 >> THANK YOU VERY MUCH THAT WAS 1401 01:02:02,815 --> 01:02:03,916 REALLY HELPFUL AND SO CLEAR, AND 1402 01:02:03,916 --> 01:02:06,552 I WANT TO PERSONALLY THANK YOUR 1403 01:02:06,552 --> 01:02:06,752 STAFF. 1404 01:02:06,752 --> 01:02:08,754 I'M 1 OF THE HUNDREDS OF 1405 01:02:08,754 --> 01:02:09,655 INVESTIGATOR WHO IS STRUGGLED 1406 01:02:09,655 --> 01:02:11,490 WITH SOME OF THOSE SPREADSHEETS 1407 01:02:11,490 --> 01:02:13,725 AND THIS WAS FANTASTIC IN 1408 01:02:13,725 --> 01:02:14,660 RESOLVING PROBLEMS, I REMEMBER 1409 01:02:14,660 --> 01:02:16,762 ONCE OR TWICE, SO THANKS FOR 1410 01:02:16,762 --> 01:02:17,396 THAT. 1411 01:02:17,396 --> 01:02:19,598 SO I HAD 1 COMMENT AND THEN 2 1412 01:02:19,598 --> 01:02:20,532 QUESTIONS. 1413 01:02:20,532 --> 01:02:22,601 ONE COMMENT IS, I KNOW THIS IS 1414 01:02:22,601 --> 01:02:25,838 ALL PRESENTED WITHIN THE 1415 01:02:25,838 --> 01:02:28,140 FRAMEWORK OF WHAT IS FEDERAL 1416 01:02:28,140 --> 01:02:29,608 ENVIRONMENTS BUT I WOULD JUST 1417 01:02:29,608 --> 01:02:32,344 ALSO NOTE THAT IN ADDITION TO 1418 01:02:32,344 --> 01:02:35,547 TRYING TO EMULATE OR A PARALLEL 1419 01:02:35,547 --> 01:02:36,715 THE POPULATION DISTRIBUTIONS, WE 1420 01:02:36,715 --> 01:02:38,183 ALSO HAVE A SCIENTIFIC IM 1421 01:02:38,183 --> 01:02:42,521 PERRATIVE TO BE ABLE TO DO 1422 01:02:42,521 --> 01:02:43,188 MEANINGFUL SUBGROUP ANALYSIS. 1423 01:02:43,188 --> 01:02:46,525 SO AGAIN, YOU KNOW AND -- AND SO 1424 01:02:46,525 --> 01:02:49,495 WE OFTEN DO NEED TO OVERENROLL, 1425 01:02:49,495 --> 01:02:50,996 YOU KNOW GROUPS WHERE THERE'S 1426 01:02:50,996 --> 01:02:52,598 SPECIAL INTEREST, BECAUSE OF 1427 01:02:52,598 --> 01:02:55,968 THEIR PROPENSITY FOR DISEASE 1428 01:02:55,968 --> 01:02:58,837 JUST SO THAT EXPLORE POTENTIAL 1429 01:02:58,837 --> 01:03:00,472 SUBGROUP ANALYSIS AND I HOPE 1430 01:03:00,472 --> 01:03:01,740 SOMEHOW THAT GETS BAKED INTO HOW 1431 01:03:01,740 --> 01:03:05,944 WE THINK ABOUT SOME THESE 1432 01:03:05,944 --> 01:03:07,312 DISTRIBUTIONS BECAUSE IT'S MORE 1433 01:03:07,312 --> 01:03:09,948 THAN JUST BEING REPRESENTATIVE 1434 01:03:09,948 --> 01:03:11,483 WHICH I KNOW EVERYONE RECOGNIZES 1435 01:03:11,483 --> 01:03:13,218 I JUST FEEL I WANTED TO SAY THAT 1436 01:03:13,218 --> 01:03:17,289 BUT I GUESS I HAD 2 QUESTIONS. 1437 01:03:17,289 --> 01:03:19,525 ONE WAS SIMPLY THERE ARE MANY, 1438 01:03:19,525 --> 01:03:21,560 MANY INCREDIBLE COHORTS OUT 1439 01:03:21,560 --> 01:03:24,229 THERE THAT DIDN'T GET ENROLLED 1440 01:03:24,229 --> 01:03:25,931 IN MULTIPLE ANCILLARY STUDIES 1441 01:03:25,931 --> 01:03:28,734 THAT THEN MAY GET REPORTED AS 1442 01:03:28,734 --> 01:03:30,502 BEING ENROLLED IN ANN SILLARY 1443 01:03:30,502 --> 01:03:30,836 STUDY. 1444 01:03:30,836 --> 01:03:33,138 DO THEY APPEAR AS DUPLICATES IN 1445 01:03:33,138 --> 01:03:35,574 YOUR ANALYSIS OR ARE THEY ALL -- 1446 01:03:35,574 --> 01:03:38,210 DO YOU TAKE CARE OF THAT? 1447 01:03:38,210 --> 01:03:39,411 >> NO, THAT'S A GREAT QUESTION. 1448 01:03:39,411 --> 01:03:44,449 AND IN THESE ANALYSIS, WE'RE 1449 01:03:44,449 --> 01:03:45,918 ONLY RECORDING PROSPECTIVE 1450 01:03:45,918 --> 01:03:49,221 ENROLLMENT SO IN AN ANCILLARY 1451 01:03:49,221 --> 01:03:51,323 STUDY WHERE THEY'RE CONDUCTING 1452 01:03:51,323 --> 01:03:52,724 STUDIES ON EXISTING SPECIMENS OR 1453 01:03:52,724 --> 01:03:54,226 DATA IN THE SYSTEM THOSE HAVE A 1454 01:03:54,226 --> 01:03:55,794 LITTLE CHECK MARK AND THOSE ARE 1455 01:03:55,794 --> 01:03:58,497 CONSIDERED EXISTING DATA SETS. 1456 01:03:58,497 --> 01:04:01,266 SO WE DO ONLY WANT TO COUNT EACH 1457 01:04:01,266 --> 01:04:03,101 PARTICIPANT ONCE UNLESS THERE'S 1458 01:04:03,101 --> 01:04:04,903 NEW ENROLLMENT OR NEW CONSENTING 1459 01:04:04,903 --> 01:04:06,805 AND THINGS LIKE THAT. 1460 01:04:06,805 --> 01:04:09,741 >> OKAY, THERE IS THIS SUBTLY 1461 01:04:09,741 --> 01:04:12,678 BECAUSE SOME COHORTS OBVIOUSLY 1462 01:04:12,678 --> 01:04:14,213 REENROLL PARTICIPANTS SO WE'RE 1463 01:04:14,213 --> 01:04:14,813 ESSENTIALLY DIPPING SEVERAL 1464 01:04:14,813 --> 01:04:16,882 TIMES IN THE SAME GROUPS AND IT 1465 01:04:16,882 --> 01:04:19,751 MIGHT BE WORTH THINKING ABOUT, 1466 01:04:19,751 --> 01:04:21,653 YOU KNOW NEW PEOPLE VERSUS THE 1467 01:04:21,653 --> 01:04:22,721 SAME PEOPLE. 1468 01:04:22,721 --> 01:04:23,388 >> GREAT 1. 1469 01:04:23,388 --> 01:04:24,823 >> AND THEN MY LAST SORT OF 1470 01:04:24,823 --> 01:04:26,592 QUESTION, I MEAN I WAS REALLY 1471 01:04:26,592 --> 01:04:30,229 SORT OF DISAPPOINTED ABOUT THE 1472 01:04:30,229 --> 01:04:32,030 RELATIVELY LOW ISOTOPE PANIC 1473 01:04:32,030 --> 01:04:33,232 ENROLLMENT, I WAS JUST WONDERING 1474 01:04:33,232 --> 01:04:36,969 IF YOU HAVE ANY SENSE WHETHER 1475 01:04:36,969 --> 01:04:38,470 THAT'S ATTRIBUTABLE TO SPANISH 1476 01:04:38,470 --> 01:04:40,739 LANGUAGE BARRIERS THAT IMPACT 1477 01:04:40,739 --> 01:04:42,808 ENROLLMENT OR YOU KNOW OTHER 1478 01:04:42,808 --> 01:04:45,544 CULTURAL, YOU KNOW OTHER ISSUES? 1479 01:04:45,544 --> 01:04:46,478 >> YEAH, DEFINITELY. 1480 01:04:46,478 --> 01:04:48,013 I THINK YOU KNOW EVERY STUDY IS 1481 01:04:48,013 --> 01:04:49,581 DIFFERENT AND HAS ITS OWN ISSUES 1482 01:04:49,581 --> 01:04:52,584 BUT I THINK, YOU KNOW WE'RE 1483 01:04:52,584 --> 01:04:55,220 HEARING A LOT ABOUT YOU KNOW 1484 01:04:55,220 --> 01:05:00,325 SPANISH LANGUAGE, CHALLENGES, 1485 01:05:00,325 --> 01:05:03,495 BUT ALSO SOME KIND OF MISTRUST 1486 01:05:03,495 --> 01:05:07,866 OR, YOU KNOW QUESTIONABLE 1487 01:05:07,866 --> 01:05:11,270 SCIENCE, PEOPLE WHO ARE 1488 01:05:11,270 --> 01:05:12,671 DISTRUSTING SCIENCE THESE DAYS 1489 01:05:12,671 --> 01:05:14,439 OR NERVOUS TO ENROLL IN STUDIES. 1490 01:05:14,439 --> 01:05:16,408 SO YOU KNOW I THINK WE WILL HAVE 1491 01:05:16,408 --> 01:05:18,043 CHALLENGES AHEAD OF US AT 1492 01:05:18,043 --> 01:05:19,678 MITIGATING THEZ THOSE ISSUES FOR 1493 01:05:19,678 --> 01:05:19,878 SURE. 1494 01:05:19,878 --> 01:05:30,055 >> THANK YOU VERY MUCH. 1495 01:05:30,055 --> 01:05:30,322 >> DR.? 1496 01:05:30,322 --> 01:05:32,291 >> THANK YOU AND FOLLOWING UP ON 1497 01:05:32,291 --> 01:05:34,126 THE EXCELLENT POINT ABOUT LATINA 1498 01:05:34,126 --> 01:05:35,160 ENROLLMENT BECAUSE I DO SHARE 1499 01:05:35,160 --> 01:05:36,461 THAT CONCERN, I THINK YOU HIT IT 1500 01:05:36,461 --> 01:05:41,633 ON THE NAIL ABOUT LANGUAGE, YOU 1501 01:05:41,633 --> 01:05:43,402 KNOW JOB, SOME RELUCTANCE TO 1502 01:05:43,402 --> 01:05:44,236 PARTICIPATE IN RESEARCH BUT ALSO 1503 01:05:44,236 --> 01:05:47,105 IF YOU LOOK AT AGE ADJUSTMENT 1504 01:05:47,105 --> 01:05:48,840 BECAUSE YOU KNOW, -- 1505 01:05:48,840 --> 01:05:49,675 >> WE HAVEN'T YET. 1506 01:05:49,675 --> 01:05:50,842 >> -- BUT ADJUSTED BY AGE, YOU 1507 01:05:50,842 --> 01:05:53,145 WOULD SEE A SLIGHTLY BETTER 1508 01:05:53,145 --> 01:05:53,979 NUMBER, STILL NEEDS ATTENTION 1509 01:05:53,979 --> 01:05:58,317 BUT YOU KNOW THAT'S 1 THING TO 1510 01:05:58,317 --> 01:05:58,684 CONSIDER. 1511 01:05:58,684 --> 01:06:00,285 THE OTHERS DO YOU KNOW AND I 1512 01:06:00,285 --> 01:06:03,021 THINK YOU HINTED AT IT, HOW THIS 1513 01:06:03,021 --> 01:06:05,123 DATA COMPARES TO OTHER ICs AT 1514 01:06:05,123 --> 01:06:06,291 THE NIH? 1515 01:06:06,291 --> 01:06:10,796 >> YEAH, WE HAVEN'T LOOKED AT 1516 01:06:10,796 --> 01:06:12,764 TOO MUCH COMPARING, DRILLING 1517 01:06:12,764 --> 01:06:15,267 DOWN TO NHLBI VERSUS THE OTHER 1518 01:06:15,267 --> 01:06:18,103 ICs BUT AT THE NIH LEVEL, 1519 01:06:18,103 --> 01:06:19,171 WE'RE PRETTY CONSISTENT. 1520 01:06:19,171 --> 01:06:21,406 WE'RE DOING A LITTLE BETTER THAN 1521 01:06:21,406 --> 01:06:25,477 NIH WIDE WITH OUR ENROLLMENT OF 1522 01:06:25,477 --> 01:06:27,312 WOMEN ESPECIALLY IN PHASE 3 1523 01:06:27,312 --> 01:06:28,847 KRINICAL TRIALS WHICH WE NEED TO 1524 01:06:28,847 --> 01:06:33,385 IMPROVE, SO OBVIOUS LOW, ALL OF 1525 01:06:33,385 --> 01:06:34,319 NIH NEEDS TO IMPROVE. 1526 01:06:34,319 --> 01:06:36,988 AND THEN IN OUR RACIAL AND 1527 01:06:36,988 --> 01:06:38,724 ETHNIC ENROLLMENT, WE ARE PRETTY 1528 01:06:38,724 --> 01:06:43,362 ON PARWITH MOST OF THE NIH, SO I 1529 01:06:43,362 --> 01:06:46,531 THINK AGAIN, WE'RE IMPROVING AND 1530 01:06:46,531 --> 01:06:48,667 LEADING THE PATH IN ENROLLMENT 1531 01:06:48,667 --> 01:06:50,769 OF WOMAN AND JUST ABOUT THE SAME 1532 01:06:50,769 --> 01:06:54,072 AS OTHER ICs IN OUR RACIAL AND 1533 01:06:54,072 --> 01:06:54,773 ETHNIC ENROLLMENT. 1534 01:06:54,773 --> 01:06:56,475 THERE'S ALWAYS ROOM FOR 1535 01:06:56,475 --> 01:06:56,775 IMPROVEMENT. 1536 01:06:56,775 --> 01:07:01,446 >> THANK YOU. 1537 01:07:01,446 --> 01:07:01,713 DR.? 1538 01:07:01,713 --> 01:07:04,182 >> THANK YOU SO MUCH FOR THE 1539 01:07:04,182 --> 01:07:04,683 WONDERFUL REPORT. 1540 01:07:04,683 --> 01:07:07,486 IT'S VERY GOOD TO HEAR THAT THE 1541 01:07:07,486 --> 01:07:09,421 SEX BASED ENROLLMENT IS EQUAL 1542 01:07:09,421 --> 01:07:11,289 AND STRONG ESPECIALLY GIVEN THE 1543 01:07:11,289 --> 01:07:13,792 RECOMMENDATIONS PUT OUT BY A 1544 01:07:13,792 --> 01:07:15,527 NUMBER OF CARDIOLOGY JOURNAL 1545 01:07:15,527 --> 01:07:18,130 EDITORS TO INSURE THAT WHERE 1546 01:07:18,130 --> 01:07:19,831 POSSIBLE RESULTS ARE PRESENTED 1547 01:07:19,831 --> 01:07:21,566 STRATIFIED BY SEX SO THAT WE CAN 1548 01:07:21,566 --> 01:07:23,335 UNDERSTAND WHETHER OR NOT 1549 01:07:23,335 --> 01:07:25,404 THERAPIES ARE EQUALLY EFFECTIVE. 1550 01:07:25,404 --> 01:07:27,005 A DOMAIN THEY DON'T SEE OFTEN 1551 01:07:27,005 --> 01:07:28,840 COVERED AND I UNDERSTAND THAT IT 1552 01:07:28,840 --> 01:07:32,711 WAS NEVER PART OF A 1553 01:07:32,711 --> 01:07:33,845 CONGRESSIONAL DIRECTIVE, IS 1 1554 01:07:33,845 --> 01:07:36,548 AROUND STUDYING INDIVIDUALS WITH 1555 01:07:36,548 --> 01:07:37,516 DISABILITY BOTH INTELLECTUAL 1556 01:07:37,516 --> 01:07:39,251 DISABILITIES AS WELL AS PHYSICAL 1557 01:07:39,251 --> 01:07:40,485 DISABILITIES AND IT'S A LARGE 1558 01:07:40,485 --> 01:07:42,087 PROPORTION OF OUR POPULATION, 1559 01:07:42,087 --> 01:07:44,856 MANY OF WHOM ARE SEDENTARY AND 1560 01:07:44,856 --> 01:07:46,758 SO IN THIS FOR A NUMBER OF THE 1561 01:07:46,758 --> 01:07:47,726 DIFFERENT CHRONIC DISEASES THAT 1562 01:07:47,726 --> 01:07:49,728 ARE RELEVANT TO THE 1563 01:07:49,728 --> 01:07:50,729 CARDIOVASCULAR BRANCH AND THE 1564 01:07:50,729 --> 01:07:51,897 LUNG BRANCH AND I'M WONDERING 1565 01:07:51,897 --> 01:07:55,000 WHETHER OR NOT THERE'S ANY SPACE 1566 01:07:55,000 --> 01:07:57,002 OR ROOM FOR THINKING ABOUT 1567 01:07:57,002 --> 01:08:00,439 EMPHASIZING INCLUSION FOR 1568 01:08:00,439 --> 01:08:03,141 INDIVIDUALS WITH DISABILITIES? 1569 01:08:03,141 --> 01:08:03,942 >> I AGREE 100%. 1570 01:08:03,942 --> 01:08:07,879 ORIGINALLY WE DID HAVE 1571 01:08:07,879 --> 01:08:09,815 INITIATIVES WE WERE GOING TO 1572 01:08:09,815 --> 01:08:11,950 HIGHLIGHT DUE TO TIME WE HAD TO 1573 01:08:11,950 --> 01:08:14,853 CUT THOSE OFF BUT WE DO HAVE 1574 01:08:14,853 --> 01:08:16,488 SOME CONGENITAL HEART DISEASE 1575 01:08:16,488 --> 01:08:17,456 AND DOWNS SYNDROME INITIATIVES 1576 01:08:17,456 --> 01:08:18,623 WE WERE THINKING ABOUT MOVING 1577 01:08:18,623 --> 01:08:19,891 FORWARD SO WE'RE HOPING TO BE 1578 01:08:19,891 --> 01:08:22,661 ABLE TO CONTINUE THOSE TYPES OF 1579 01:08:22,661 --> 01:08:25,630 PROJECTS AND I KNOW NIH-WIDE 1580 01:08:25,630 --> 01:08:27,699 THERE HAVE BEEN SOME WORKSHOPS 1581 01:08:27,699 --> 01:08:32,003 AND SOME HOPEFULLY ADDITIONAL 1582 01:08:32,003 --> 01:08:34,739 RESOURCES FOCUSED ON INCLUSION 1583 01:08:34,739 --> 01:08:35,674 OF PARTICIPANTS WITH 1584 01:08:35,674 --> 01:08:38,043 DISABILITIES AND I THINK, YOU 1585 01:08:38,043 --> 01:08:40,679 KNOW SIMILAR TO OUR PAST OF 1586 01:08:40,679 --> 01:08:41,847 EXCLUDING CHILDREN OR PREGNANT 1587 01:08:41,847 --> 01:08:45,217 WOMEN FROM CLINICAL RESEARCH, 1588 01:08:45,217 --> 01:08:46,685 WHAT HAPPENS IS YOU KNOW THE 1589 01:08:46,685 --> 01:08:48,987 PLAN, AND THE THINKING IS, WE 1590 01:08:48,987 --> 01:08:50,355 WILL PROTECT THESE PARTICIPANTS 1591 01:08:50,355 --> 01:08:52,457 FROM RISK BUT THEN WE ALSO END 1592 01:08:52,457 --> 01:08:54,526 UP EXCLUDING THEM FROM THE 1593 01:08:54,526 --> 01:08:54,860 BENEFITS. 1594 01:08:54,860 --> 01:08:57,295 SO I AGREE WHOLE HEARTEDLY THAT 1595 01:08:57,295 --> 01:08:59,831 YOU KNOW THIS FOCUS ON 1596 01:08:59,831 --> 01:09:00,932 PARTICIPANTS WITH DISABILITIES 1597 01:09:00,932 --> 01:09:02,100 SHOULD BE ENHANCED. 1598 01:09:02,100 --> 01:09:07,806 THANK YOU FOR THAT. 1599 01:09:07,806 --> 01:09:09,608 >> THANKS. 1600 01:09:09,608 --> 01:09:12,244 >> ANY OTHER COMMENTS FOR 1601 01:09:12,244 --> 01:09:13,178 KATHRYN? 1602 01:09:13,178 --> 01:09:13,378 OKAY. 1603 01:09:13,378 --> 01:09:14,613 THANK YOU. 1604 01:09:14,613 --> 01:09:14,946 >> TERRIFIC. 1605 01:09:14,946 --> 01:09:15,380 THANK YOU. 1606 01:09:15,380 --> 01:09:17,382 >> OKAY, SO WE WILL MOVE ON WITH 1607 01:09:17,382 --> 01:09:20,218 OUR AGENDA OUR NEXT SPEAKER IS 1608 01:09:20,218 --> 01:09:20,785 VIRTUAL. 1609 01:09:20,785 --> 01:09:24,689 SO WE HAVE DR. SEAN MOONEY, 1610 01:09:24,689 --> 01:09:25,824 DIRECTOR OF CENTER FOR 1611 01:09:25,824 --> 01:09:28,927 INFORMATION TECHNOLOGY AT NIH, 1612 01:09:28,927 --> 01:09:31,530 HE OVERSEES SUPER COMPUTER, 1613 01:09:31,530 --> 01:09:32,764 ADVANCED NETWORKING CLOUD BASE 1614 01:09:32,764 --> 01:09:34,332 SERVICES, COLLABORATION AND 1615 01:09:34,332 --> 01:09:37,102 TOOLS TO SUPPORT RESEARCH. 1616 01:09:37,102 --> 01:09:39,237 HEAISE -- HE WAS PRIOR TO 1617 01:09:39,237 --> 01:09:41,239 JOINING NIH HE WAS PROFESSOR AT 1618 01:09:41,239 --> 01:09:42,941 UNIVERSITY OF WASHINGTON WHERE 1619 01:09:42,941 --> 01:09:45,343 HE HAD VARIOUS ROLES INCLUDING 1620 01:09:45,343 --> 01:09:47,112 AS CHIEF SERVICE INFORMATION 1621 01:09:47,112 --> 01:09:49,681 OFFICER AND INFOMARTICS HE HOLDS 1622 01:09:49,681 --> 01:09:52,584 A Ph.D. IN PHARMACEUTICAL 1623 01:09:52,584 --> 01:09:54,886 CHEMISTRY FROM UCSF, AND HE HAS 1624 01:09:54,886 --> 01:09:56,821 AN UNDERGRADUATE DEGREE FROM THE 1625 01:09:56,821 --> 01:09:57,722 UNIVERSITY OF WISCONSIN AND 1626 01:09:57,722 --> 01:09:59,391 MEMBER OF THE AMERICAN COLLEGE 1627 01:09:59,391 --> 01:10:01,426 FOR MEDICAL INFORMATICS SO WE 1628 01:10:01,426 --> 01:10:03,662 WILL WELCOME DR. MOONEY WHO WILL 1629 01:10:03,662 --> 01:10:06,164 SPEAK TO US ABOUT ENABLING 1630 01:10:06,164 --> 01:10:07,699 ACCESS AND INNOVATION WITH 1631 01:10:07,699 --> 01:10:08,366 ADVANCED TECHNOLOGY. 1632 01:10:08,366 --> 01:10:10,068 >> AWESOME, CAN YOU HEAR ME 1633 01:10:10,068 --> 01:10:10,268 OKAY. 1634 01:10:10,268 --> 01:10:10,835 >> WE CAN. 1635 01:10:10,835 --> 01:10:13,371 >> I WILL SHARE MY SCREEN, IS 1636 01:10:13,371 --> 01:10:14,573 THAT ALL RIGHT? 1637 01:10:14,573 --> 01:10:15,273 >> YES, THAT'S FINE. 1638 01:10:15,273 --> 01:10:15,707 >> OKAY, GREAT. 1639 01:10:15,707 --> 01:10:16,775 I WILL SHARE MY SCREEN. 1640 01:10:16,775 --> 01:10:20,812 LET ME KNOW IF YOU CAN SEE IT 1641 01:10:20,812 --> 01:10:21,012 OKAY? 1642 01:10:21,012 --> 01:10:23,315 >> YES, WE SEE IT. 1643 01:10:23,315 --> 01:10:24,316 >> OKAY, EXCELLENT. 1644 01:10:24,316 --> 01:10:26,484 SO THANK YOU VERY MUCH FOR THE 1645 01:10:26,484 --> 01:10:27,552 OPPORTUNITY TO PRESENT TODAY. 1646 01:10:27,552 --> 01:10:29,287 FIRST OF ALL I'M INCREDIBLY 1647 01:10:29,287 --> 01:10:31,489 SORRY THAT I'M NOT THERE IN 1648 01:10:31,489 --> 01:10:33,224 PERSON, WITH THE RESCHEDULE IT 1649 01:10:33,224 --> 01:10:34,492 DIDN'T FIT WITH MY SCHEDULE TO 1650 01:10:34,492 --> 01:10:36,494 BE THERE BUT I'M VERY HONORED TO 1651 01:10:36,494 --> 01:10:38,363 BE PRESENTING TO YOU TODAY. 1652 01:10:38,363 --> 01:10:41,199 I AM RELATIVELY NEW TO THE NIH, 1653 01:10:41,199 --> 01:10:43,168 AS YOU HEARD EARLIER, I'VE BEEN 1654 01:10:43,168 --> 01:10:46,905 HERE FOR ABOUT A YEAR AND MAYBE 1655 01:10:46,905 --> 01:10:50,542 A MONTH OR SO, SO I'M STILL 1656 01:10:50,542 --> 01:10:52,043 REALLY GETTING MY FEET WET. 1657 01:10:52,043 --> 01:10:53,912 WHAT I WILL TALK TO YOU ABOUT 1658 01:10:53,912 --> 01:10:55,580 TODAY IS COMPUTING, HOW WE DO 1659 01:10:55,580 --> 01:10:57,148 COMPUTING AT THE NIH, WHAT WE 1660 01:10:57,148 --> 01:10:58,583 ARE THINKING ABOUT, WHAT WE DO 1661 01:10:58,583 --> 01:10:59,784 IN TERMS OF COMPUTING AND GIVE 1662 01:10:59,784 --> 01:11:01,653 YOU SOME SENSE OF WHAT OUR 1663 01:11:01,653 --> 01:11:03,922 STRATEGY IS MOVING FORWARD. 1664 01:11:03,922 --> 01:11:07,125 COMPUTERS AND THE ANALYSIS OF 1665 01:11:07,125 --> 01:11:11,162 DATA IN AI ARE EVERYTHING TODAY. 1666 01:11:11,162 --> 01:11:16,501 I THINK THAT WE SPEND 90% OF OUR 1667 01:11:16,501 --> 01:11:19,170 TIME IN FRONT OF COMPUTERS, IT'S 1668 01:11:19,170 --> 01:11:20,672 ABSOLUTELY CRAZY HOW MUCH EFFORT 1669 01:11:20,672 --> 01:11:21,640 OF SCIENCE ACTUALLY NOW IS 1670 01:11:21,640 --> 01:11:25,410 SKITING IN FRONT OF A COMPUTER. 1671 01:11:25,410 --> 01:11:26,211 SO OUR COMPUTATIONAL 1672 01:11:26,211 --> 01:11:28,113 INFRASTRUCTURE TO SUPPORT BOTH 1673 01:11:28,113 --> 01:11:29,981 THE ADMINISTRATION OF THE NIH, 1674 01:11:29,981 --> 01:11:34,953 BUT ALSO THE CYBER 1675 01:11:34,953 --> 01:11:37,822 INFRASTRUCTURE THAT SUPPORTS OUR 1676 01:11:37,822 --> 01:11:38,857 BIOMEDICAL RESEARCH 1677 01:11:38,857 --> 01:11:39,791 INFRASTRUCTURE NATIONALLY IS 1678 01:11:39,791 --> 01:11:40,592 INCREDIBLE LIE IMPORTANT AND I 1679 01:11:40,592 --> 01:11:42,560 THINK YOU KNOW ALL OF OUR 1680 01:11:42,560 --> 01:11:44,429 INTEREST IN DATA SHARING, OUR 1681 01:11:44,429 --> 01:11:46,698 INTEREST IN DEVELOPING STANDARDS 1682 01:11:46,698 --> 01:11:49,100 TO ENABLE INTEROPERABILITY OF 1683 01:11:49,100 --> 01:11:50,268 DATA, TO IMPROVE STATISTICAL 1684 01:11:50,268 --> 01:11:53,238 POWER FROM THE DATA SETS THAT WE 1685 01:11:53,238 --> 01:11:54,539 COLLECT WHETHER IT BE RESEARCH 1686 01:11:54,539 --> 01:11:56,274 DATA SETS OR SECONDARY USE DATA 1687 01:11:56,274 --> 01:11:57,809 SETS LIKE FOR EXAMPLE LIKE 1688 01:11:57,809 --> 01:11:59,878 CLAIMS DATA OR REAL WORLD 1689 01:11:59,878 --> 01:12:01,479 CLINICAL DATA, THINGS LIKE THAT 1690 01:12:01,479 --> 01:12:03,648 ALL COME DOWN TO OUR ABILITY TO 1691 01:12:03,648 --> 01:12:06,985 PUT IN PLACE YOU KNOW 1692 01:12:06,985 --> 01:12:07,886 COMPUTATIONAL INFRASTRUCTURE OR 1693 01:12:07,886 --> 01:12:08,620 COMPUTER BASED TOOLS THAT 1694 01:12:08,620 --> 01:12:17,195 SUPPORT WHAT WE DO AND SO FOR 1695 01:12:17,195 --> 01:12:18,630 THE NEXT FEW MINUTES OR SO I 1696 01:12:18,630 --> 01:12:19,931 WILL TELL YOU WHERE WE'RE AT. 1697 01:12:19,931 --> 01:12:21,332 WE STILL HAVE A LONG WAY TO GO 1698 01:12:21,332 --> 01:12:23,301 AND WE'RE NOT THERE YET AND I 1699 01:12:23,301 --> 01:12:24,836 THINK WE WON'T EVER BE THERE, I 1700 01:12:24,836 --> 01:12:26,271 THINK WE WILL ALWAYS BE MARCHING 1701 01:12:26,271 --> 01:12:32,944 TOWARD WHERE WE WANT TO GO. 1702 01:12:32,944 --> 01:12:34,813 SO WHAT WE WILL START WITH IS 1703 01:12:34,813 --> 01:12:36,848 COMPUTING AT THE NIH, HOW WE'RE 1704 01:12:36,848 --> 01:12:38,483 SUPPORTED AND STRUCTURED AND 1705 01:12:38,483 --> 01:12:39,551 ORGANIZED AND WHAT -- AND THEN 1706 01:12:39,551 --> 01:12:42,153 TALK A LITTLE BIT ABOUT OUR 1707 01:12:42,153 --> 01:12:43,988 SUCCESS STORIES AND THAT IS WHAT 1708 01:12:43,988 --> 01:12:46,491 WE DO AND HAVE BEEN SUCCESSFUL 1709 01:12:46,491 --> 01:12:48,793 WITH, WE'RE CLOUD FORWARD 1710 01:12:48,793 --> 01:12:50,929 ORGANIZATION AND HOW WE'RE 1711 01:12:50,929 --> 01:12:52,697 SUPPORTING, AND I'LL TALK A 1712 01:12:52,697 --> 01:12:58,470 LITTLE BIT ABOUT AI, ALWAYS AN 1713 01:12:58,470 --> 01:13:01,239 IMPORTANT AND YOU KNOW VERY 1714 01:13:01,239 --> 01:13:03,208 EXCITING TOPIC AND THEN I'LL 1715 01:13:03,208 --> 01:13:03,975 TALK ABOUT CYBER INFRASTRUCTURE 1716 01:13:03,975 --> 01:13:04,976 AND WHAT WE'RE THINKING ABOUT 1717 01:13:04,976 --> 01:13:06,644 FOR THE FUTURE AND WHAT OUR 1718 01:13:06,644 --> 01:13:08,179 GUIDES PRINCIPLES ARE OF HOW WE 1719 01:13:08,179 --> 01:13:09,447 APPROACH THAT AND HOPEFULLY WE 1720 01:13:09,447 --> 01:13:10,882 WILL GIVE YOU SOME SENSE OF THE 1721 01:13:10,882 --> 01:13:11,116 FUTURE. 1722 01:13:11,116 --> 01:13:16,221 AND THEN WE CAN DO A DISCUSSION 1723 01:13:16,221 --> 01:13:17,922 THE WAY I THINK ABOUT ALL THIS 1724 01:13:17,922 --> 01:13:20,859 IN TERMS OF TECHNOLOGY AT THE 1725 01:13:20,859 --> 01:13:28,133 NIH, AND WE HAVE INCREDIBLE IT 1726 01:13:28,133 --> 01:13:30,835 TEAM THAT SUPPORTS BROADLY NIH 1727 01:13:30,835 --> 01:13:31,770 COMPUTING ACTIVITIES, WE DON'T 1728 01:13:31,770 --> 01:13:33,738 KNOW EXACTLY HOW MUCH THE BUDGET 1729 01:13:33,738 --> 01:13:36,040 IS ACROSS ALL ICs FOR IT BUT 1730 01:13:36,040 --> 01:13:39,010 YOU CAN FIGURE IT'S BETWEEN 1.5 1731 01:13:39,010 --> 01:13:40,311 AND 2 BILLION DOLLARS A YEAR AND 1732 01:13:40,311 --> 01:13:42,814 THAT SUPPORTS ALL OF THE THINGS 1733 01:13:42,814 --> 01:13:45,717 YOU MIGHT IMAGINE THAT SUPPORT 1734 01:13:45,717 --> 01:13:47,685 THAT SUPPORT COMPUTING FROM KIND 1735 01:13:47,685 --> 01:13:48,653 OF THE BORING NONSCIENTIFIC 1736 01:13:48,653 --> 01:13:50,054 THINGS LIKE THE NIH NETWORK ALL 1737 01:13:50,054 --> 01:13:52,290 THE WAY THROUGH TO THE KIND OF 1738 01:13:52,290 --> 01:13:56,594 DATA PLATFORMS AND INFORMATICS 1739 01:13:56,594 --> 01:13:57,295 THAT SUPPORT SCIENCE. 1740 01:13:57,295 --> 01:14:03,034 ABOVE THE PEOPLE IS OUR 1741 01:14:03,034 --> 01:14:04,402 ENTERPRISE INFRASTRUCTURE TO 1742 01:14:04,402 --> 01:14:05,670 PROTECT OURSELVES FROM OUTSIDE 1743 01:14:05,670 --> 01:14:07,972 THREATS BUT ALSO THE 1744 01:14:07,972 --> 01:14:08,706 INFRASTRUCTURE THAT SUPPORTS 1745 01:14:08,706 --> 01:14:10,542 EVERYWHERE FROM THE TEAMS 1746 01:14:10,542 --> 01:14:11,342 MEETING TO THE NETWORK IN THE 1747 01:14:11,342 --> 01:14:13,411 ROOM THAT YOU'RE SITTING IN ALL 1748 01:14:13,411 --> 01:14:14,679 THE WAY THROUGH TO YOU KNOW ALL 1749 01:14:14,679 --> 01:14:16,314 OF THE KINDS OF THINGS THAT WE 1750 01:14:16,314 --> 01:14:18,349 HAVE TO DO TO SUPPORT OUR 1751 01:14:18,349 --> 01:14:18,783 ENTERPRISE. 1752 01:14:18,783 --> 01:14:21,452 ABOVE THAT WE HAVE CLOUD 1753 01:14:21,452 --> 01:14:26,090 SERVICES AND WHAT I CALL MODULAR 1754 01:14:26,090 --> 01:14:26,791 CYBER INFRASTRUCTURE ARE, I WILL 1755 01:14:26,791 --> 01:14:28,226 TALK ABOUT MORE OF THAT IN A BIT 1756 01:14:28,226 --> 01:14:30,628 BUT WE LIKE TO THINK ABOUT THESE 1757 01:14:30,628 --> 01:14:32,130 TOOLS THAT UTILIZES BY THE 1758 01:14:32,130 --> 01:14:35,033 RESEARCH COMMUNITY AND THE ICs 1759 01:14:35,033 --> 01:14:35,867 LIKE LEGO BRICKS, THEY'RE 1760 01:14:35,867 --> 01:14:37,035 MODULAR, OPEN, EASY TO USE AND 1761 01:14:37,035 --> 01:14:39,537 THEY CAN BE PUT TOGETHER IN A 1762 01:14:39,537 --> 01:14:45,143 WAY THAT A DATA SCIENTIST OR YOU 1763 01:14:45,143 --> 01:14:48,313 KNOW INFORMATION TECHNOLOGY 1764 01:14:48,313 --> 01:14:49,647 SPECIALIST CAN LEVERAGE AND MAKE 1765 01:14:49,647 --> 01:14:52,083 USEFUL ABOVE THAT WE HAVE DATA 1766 01:14:52,083 --> 01:14:53,618 PLATFORMS AND ANALYTICS AND OF 1767 01:14:53,618 --> 01:14:55,553 COURSE DRIVING FROM THE DATA 1768 01:14:55,553 --> 01:14:56,988 PLATFORMS IS AI IS THE VALUE WE 1769 01:14:56,988 --> 01:14:58,623 CAN GET FROM AI. 1770 01:14:58,623 --> 01:15:03,027 SO HERE'S HOW WE'RE STRUCTURED. 1771 01:15:03,027 --> 01:15:04,562 I'VE BEEN HERE FOR NOW A YEAR 1772 01:15:04,562 --> 01:15:06,331 AND I MONTH, ABOUT 8 MONTHS AGO 1773 01:15:06,331 --> 01:15:08,099 OR SO I WAS ASKED TO TAKE ON A 1774 01:15:08,099 --> 01:15:10,034 NEW ROLE IN THE DIRECTOR'S 1775 01:15:10,034 --> 01:15:13,438 OFFICE AS THE ASSOCIATE DIRECTOR 1776 01:15:13,438 --> 01:15:14,906 OF IT CYBER INFRASTRUCTURE AND 1777 01:15:14,906 --> 01:15:15,773 CYBERSECURITY, THAT MAKES AND I 1778 01:15:15,773 --> 01:15:17,609 REPORT TO THE DIRECTOR, THAT 1779 01:15:17,609 --> 01:15:19,844 MAKES ME LEAD BOTH THE OFFICE OF 1780 01:15:19,844 --> 01:15:24,349 THE CIO, AS WELL AS THE CENTER 1781 01:15:24,349 --> 01:15:26,251 FOR INFORMATION TECHNOLOGY, CIT 1782 01:15:26,251 --> 01:15:28,820 IS 1 OF THE 27 INSTITUTES AND 1783 01:15:28,820 --> 01:15:31,556 CENTERS OF THE NIH AND SUPPORTS 1784 01:15:31,556 --> 01:15:34,058 A BROAD RANGE OF ENTERPRISE 1785 01:15:34,058 --> 01:15:36,527 TECHNOLOGY SERVICES THAT SUPPORT 1786 01:15:36,527 --> 01:15:39,497 ALL THE THINGS THAT NIH DOES AS 1787 01:15:39,497 --> 01:15:42,500 WELL AS OTHER OPDIFS WITHIN 1788 01:15:42,500 --> 01:15:43,201 OTHER OPERATING DIVISIONS WITHIN 1789 01:15:43,201 --> 01:15:44,903 HEGHT AND HUMAN SERVICES. 1790 01:15:44,903 --> 01:15:46,537 WE'VE BEEN BUILDING AN 1791 01:15:46,537 --> 01:15:47,739 OUTSTANDING LEADERSHIP TEAM OVER 1792 01:15:47,739 --> 01:15:49,440 THAT TIME PERIOD. 1793 01:15:49,440 --> 01:15:50,241 WE RECENTLY RECRUITED ADELL 1794 01:15:50,241 --> 01:15:54,445 MERIT TO BE THE NIH'S CHIEF 1795 01:15:54,445 --> 01:15:56,681 INFORMATION OFFICER. 1796 01:15:56,681 --> 01:15:59,083 SHE COMES TO US FROM THE 1797 01:15:59,083 --> 01:16:00,351 NATIONAL INTELLIGENCE COMMUNITY 1798 01:16:00,351 --> 01:16:03,988 AS THEIR COMMUNITY CIO SO SHE'S 1799 01:16:03,988 --> 01:16:05,256 VERY FAMILIAR WITH WORKING IN AN 1800 01:16:05,256 --> 01:16:07,692 ENVIRONMENT LIKE WE HAVE AT THE 1801 01:16:07,692 --> 01:16:09,861 NIH WHERE WE HAVE MULTIPLE 1802 01:16:09,861 --> 01:16:11,362 INSTITUTES AND CENTERS AND BUILD 1803 01:16:11,362 --> 01:16:12,697 THEIR OWN APPROPRIATIONS AND 1804 01:16:12,697 --> 01:16:13,998 BUILD THEIR TOOLS AND PLATFORMS 1805 01:16:13,998 --> 01:16:17,201 AND TOOLS AND SHE HAS DONE AN 1806 01:16:17,201 --> 01:16:19,170 OUTSTANDING JOB OF REALLY 1807 01:16:19,170 --> 01:16:21,639 WRANGLING BOTH THE OFFICE OF THE 1808 01:16:21,639 --> 01:16:25,276 CIO AND CHIEF OF OFFICE OF 1809 01:16:25,276 --> 01:16:25,743 SECURITY OFFICE. 1810 01:16:25,743 --> 01:16:28,112 SHE DOES IN HER OFFICE SHE 1811 01:16:28,112 --> 01:16:30,548 FOCUSES ON STRATEGY FOR IT, 1812 01:16:30,548 --> 01:16:31,249 ENTERPRISE ARCHITECTURE, THOSE 1813 01:16:31,249 --> 01:16:34,319 ARE THE THINGS WE DO TOGETHER, 1814 01:16:34,319 --> 01:16:37,689 GOVERNANCE FOR IT, HOW WE MAKE 1815 01:16:37,689 --> 01:16:40,024 CAPITAL INVESTMENTS AND IN IT 1816 01:16:40,024 --> 01:16:41,159 AND ALSO INFORMATION SECURITY 1817 01:16:41,159 --> 01:16:44,662 HOW WE PROTECT OURSELVES FROM 1818 01:16:44,662 --> 01:16:44,929 THREATS. 1819 01:16:44,929 --> 01:16:46,698 WE ALSO HAVE THE CENTER FOR 1820 01:16:46,698 --> 01:16:47,865 INFORMATION TECHNOLOGY, I WAS 1821 01:16:47,865 --> 01:16:52,470 VERY EXCITED TO BE ABLE TO 1822 01:16:52,470 --> 01:16:53,838 ANNOUNCE IVOR, DE'SOUZA WHORKS 1823 01:16:53,838 --> 01:16:55,506 IS THE DEPUTY DIRECTOR OF CIT, 1824 01:16:55,506 --> 01:16:58,009 HE COMES TO US FROM THE CIO FROM 1825 01:16:58,009 --> 01:17:00,445 THE NATIONAL LIBRARY OF MEDICINE 1826 01:17:00,445 --> 01:17:02,113 AND HE REALLY PROVIDES 1827 01:17:02,113 --> 01:17:03,047 OPERATIONAL LEADERSHIP TO ALL 1828 01:17:03,047 --> 01:17:06,684 THE THINGS THAT CIT SUPPORTS 1829 01:17:06,684 --> 01:17:08,152 OOSES THE ENTERPRISE. 1830 01:17:08,152 --> 01:17:10,855 CIT IS ABOUT 1300 PEOPLE AND WE 1831 01:17:10,855 --> 01:17:12,490 SUPPORT EVERYWHERE FROM OUR 1832 01:17:12,490 --> 01:17:17,228 NETWORK TO OUR TEAMS, LICENSES, 1833 01:17:17,228 --> 01:17:19,864 TO OUR E-MAIL, AND HOSTING AND 1834 01:17:19,864 --> 01:17:21,599 STORAGE, OUR DATA CENTER, AND 1835 01:17:21,599 --> 01:17:23,568 OTHER KINDS OF APPLICATIONS AND 1836 01:17:23,568 --> 01:17:27,438 BUSINESS SYSTEMS THAT SUPPORT 1837 01:17:27,438 --> 01:17:27,972 NIH ACTIVITY. 1838 01:17:27,972 --> 01:17:31,275 WHEN I TALK ABOUT CYBER 1839 01:17:31,275 --> 01:17:32,643 INFRASTRUCTURE THAT WILL BE A 1840 01:17:32,643 --> 01:17:34,512 COMMON THEME FOR THIS 1841 01:17:34,512 --> 01:17:36,481 PRESENTATION, I THINK IT ORDER 1842 01:17:36,481 --> 01:17:38,683 TO SUPPORT BIOMEDICAL RESEARCH 1843 01:17:38,683 --> 01:17:39,817 WE HAVE TO ACKNOWLEDGE HOW 1844 01:17:39,817 --> 01:17:45,456 RESEARCH WORKS AND WE TEND TO BE 1845 01:17:45,456 --> 01:17:47,525 VERY FEDERATED IN OUR APPROACH, 1846 01:17:47,525 --> 01:17:48,926 SOMETIMES EVEN SILOS AND 1847 01:17:48,926 --> 01:17:52,530 BIOMEDICAL RESEARCH LABS TEND TO 1848 01:17:52,530 --> 01:17:54,265 DO THEIR OWN THINGS GR FEDERAL 1849 01:17:54,265 --> 01:17:54,499 REASON. 1850 01:17:54,499 --> 01:17:55,833 SO WE HAVE BEEN WORKING WITH ALL 1851 01:17:55,833 --> 01:17:57,368 OF THE ICs AND I REALLY WANT 1852 01:17:57,368 --> 01:17:59,737 TO HIGHLIGHT THE ROLE THAT CIT, 1853 01:17:59,737 --> 01:18:01,305 THE OFFICE OF THE CHIEF 1854 01:18:01,305 --> 01:18:02,206 INFORMATION OFFICER, THE 1855 01:18:02,206 --> 01:18:05,643 NATIONAL LIBRARY OF MEDICINE, 1856 01:18:05,643 --> 01:18:07,612 AND SUSAN GREGORIC'S OFFICE, THE 1857 01:18:07,612 --> 01:18:09,347 OFFICE OF DATA SCIENCE STRATEGY 1858 01:18:09,347 --> 01:18:12,216 PLAYS IN BOTH FUNDING AND YOU 1859 01:18:12,216 --> 01:18:14,619 KNOW DEVELOPING THE TECHNOLOGY 1860 01:18:14,619 --> 01:18:15,920 OF THE DIGITAL ECOSYSTEM THAT IS 1861 01:18:15,920 --> 01:18:17,455 GOING TO SUPPORT, YOU KNOW 1862 01:18:17,455 --> 01:18:18,890 TODAY'S NIH BUT ALSO SUPPORT THE 1863 01:18:18,890 --> 01:18:23,061 NIH IN THE FUTURE AND THEN EVERY 1864 01:18:23,061 --> 01:18:24,929 SINGLE INSTITUTE, WITHIN THE NIH 1865 01:18:24,929 --> 01:18:26,664 HAS THEIR OWN KIND OF PLATFORMS, 1866 01:18:26,664 --> 01:18:28,066 THEIR OWN TOOLS AND MY OPEN IS 1867 01:18:28,066 --> 01:18:30,134 THAT IN THE FUTURE THAT THOSE 1868 01:18:30,134 --> 01:18:32,303 THAT YOU KNOW THAT THEY WILL 1869 01:18:32,303 --> 01:18:35,907 LEVERAGE THE PLATFORMS AND TOOLS 1870 01:18:35,907 --> 01:18:38,342 THAT ARE BUILT YOU KNOW FROM 1871 01:18:38,342 --> 01:18:41,212 CIT, YOU KNOW FROM CIT THAT CAN 1872 01:18:41,212 --> 01:18:43,481 KIND OF HELP US DO BIOMEDICAL 1873 01:18:43,481 --> 01:18:45,483 RESEARCH, YOU KNOW MORE 1874 01:18:45,483 --> 01:18:47,118 IMPACTFULLY, BUT ALSO YOU KNOW 1875 01:18:47,118 --> 01:18:55,726 HOPEFULLY MORE EFFICIENTLY AS 1876 01:18:55,726 --> 01:18:55,927 WELL. 1877 01:18:55,927 --> 01:18:57,228 WE CAN TALK ABOUT THE SCOPE AND 1878 01:18:57,228 --> 01:18:59,163 SAMPLE OF WHAT WE DO. 1879 01:18:59,163 --> 01:19:02,400 THE NIH IS MORE THAN 1880 01:19:02,400 --> 01:19:05,303 400,000-MILES OF NETWORK 1881 01:19:05,303 --> 01:19:10,208 CABLING, WE HAVE SUPPORT 700,000 1882 01:19:10,208 --> 01:19:12,743 VISITORS IN 200 NIEKS H BUILDING 1883 01:19:12,743 --> 01:19:13,845 ACROSS 9 GEOGRAPHIC LOITION 1884 01:19:13,845 --> 01:19:16,681 KACCTS AND THE NIH SUPPORTS ALL 1885 01:19:16,681 --> 01:19:18,349 COMMUNICATIONS WE DO CENTRALLY 1886 01:19:18,349 --> 01:19:19,550 WITHIN NIH AND REALLY THE CORE 1887 01:19:19,550 --> 01:19:21,752 THAT FORMS A LOT OF WHAT WE DO 1888 01:19:21,752 --> 01:19:24,055 IN TERMS OF IT. 1889 01:19:24,055 --> 01:19:25,556 FOR IN TERMS OF COLLABORATION 1890 01:19:25,556 --> 01:19:28,326 TOOLS WE SUPPORT MORE THAN 2 AND 1891 01:19:28,326 --> 01:19:31,162 HALF MILLION VIRTUAL MEETINGS, 1892 01:19:31,162 --> 01:19:32,430 LIKE THE MEETING WE'RE HAVING 1893 01:19:32,430 --> 01:19:33,598 TODAY ON TEAMS THROUGH OUR 1894 01:19:33,598 --> 01:19:35,099 LICENSES AND SUPPORT SYSTEMS, WE 1895 01:19:35,099 --> 01:19:37,869 SEND MORE THAN A BILLION E-MAILS 1896 01:19:37,869 --> 01:19:40,271 THROUGH THE NIH E-MAIL SYSTEM 1897 01:19:40,271 --> 01:19:43,274 AND WE HAVE MORE THAN A MILLION 1898 01:19:43,274 --> 01:19:46,244 GIGA BITES OF DATA WITHIN SHARE 1899 01:19:46,244 --> 01:19:49,147 POINT AND MICROSOFT 1 DRIVE. 1900 01:19:49,147 --> 01:19:51,616 WE ALSO SUPPORT RESEARCH 1901 01:19:51,616 --> 01:19:53,217 APPLICATIONS, PARTICULARLY HIGH 1902 01:19:53,217 --> 01:19:55,620 PERFORMANCE COMPUTER, WE HAVE A 1903 01:19:55,620 --> 01:19:59,157 HUNDRED THOUSAND PLUS CORE SURP 1904 01:19:59,157 --> 01:20:01,225 COMPUTER CALLED BIOWULF WHICH 1905 01:20:01,225 --> 01:20:05,730 SUPPORTS MORE THAN 1 MILLION CP 1906 01:20:05,730 --> 01:20:06,297 U HOURS PER MONTH. 1907 01:20:06,297 --> 01:20:07,465 THIS JUST CONTINUES TO IMP 1908 01:20:07,465 --> 01:20:09,233 PRESSIVE AND THIS IS JUST A 1909 01:20:09,233 --> 01:20:10,268 COUPLE OF EXAMPLES ACROSS OUR 1910 01:20:10,268 --> 01:20:11,102 TEAMS THAT HELP SUPPORT THE 1911 01:20:11,102 --> 01:20:12,136 THINGS THAT WE DO. 1912 01:20:12,136 --> 01:20:14,872 LET ME START AND TALK A LITTLE 1913 01:20:14,872 --> 01:20:16,741 BIT ABOUT 1 OF THOSE CORE 1914 01:20:16,741 --> 01:20:18,943 MODULES OF CORE PLATFORMS OF 1915 01:20:18,943 --> 01:20:20,545 CYBER INFRASTRUCTURE AND THAT IS 1916 01:20:20,545 --> 01:20:22,180 USE OF THE CLOUD THROUGH OUR 1917 01:20:22,180 --> 01:20:23,714 PARTNERSHIPS WITH CLOUD SERVICE 1918 01:20:23,714 --> 01:20:27,251 PROVIDERS SUCH AS AMAZON, GOOGLE 1919 01:20:27,251 --> 01:20:27,919 AND MICROSOFT. 1920 01:20:27,919 --> 01:20:31,155 WE FOUNDED BEFORE I GOT HERE THE 1921 01:20:31,155 --> 01:20:32,557 NIH STRIDES INITIATIVE, IT'S 1922 01:20:32,557 --> 01:20:34,825 HAVE WELL,A LINED WITH THE NIH 1923 01:20:34,825 --> 01:20:36,360 STRATEGIC PLAN FOR DATA SCIENCE 1924 01:20:36,360 --> 01:20:40,565 AND PURSUES A MODERN INTEGRATED 1925 01:20:40,565 --> 01:20:41,899 INTUITIVE EFFICIENT, SECURE AND 1926 01:20:41,899 --> 01:20:43,401 DATA DRIVEN TECHNOLOGY TO 1927 01:20:43,401 --> 01:20:44,802 SUPPORT BIOMEDICINE AND YOU KNOW 1928 01:20:44,802 --> 01:20:47,104 HOPEFULLY WITH ALL OF US 1929 01:20:47,104 --> 01:20:49,407 WORKING, YOU KNOW IN CONCERT TO 1930 01:20:49,407 --> 01:20:51,809 LEVERAGE A SINGLE PLATFORM FOR 1931 01:20:51,809 --> 01:20:54,478 USE OF THE CLOUD, WITH THOSE 3 1932 01:20:54,478 --> 01:20:57,081 CLOUD PARTNERS THAT WE CAN 1933 01:20:57,081 --> 01:20:59,016 GENERATE COST SAVINGS FOR THE 1934 01:20:59,016 --> 01:21:01,719 RESEARCH COMMUNITY TO GET 1935 01:21:01,719 --> 01:21:02,553 LEVERAGE, CLOUD PLATFORMS IN 1936 01:21:02,553 --> 01:21:04,622 TERMS OF WHAT THEY DO AND THAT 1937 01:21:04,622 --> 01:21:06,824 ALSO GIVES US STRONG 1938 01:21:06,824 --> 01:21:07,858 PARTNERSHIPS WITH THOSE 1939 01:21:07,858 --> 01:21:09,327 PROVIDERS THAT CAN ENABLE US TO 1940 01:21:09,327 --> 01:21:11,462 GET BETTER R&D FROM THEM, BETTER 1941 01:21:11,462 --> 01:21:16,100 SUPPORT AND HAVE MORE IMPACT. 1942 01:21:16,100 --> 01:21:18,669 I THINK THE STRIDES PROGRAM HAS 1943 01:21:18,669 --> 01:21:19,337 BEEN LARGELY SUCCESSFUL. 1944 01:21:19,337 --> 01:21:22,573 WE NOW HAVE MORE THAN 1945 01:21:22,573 --> 01:21:27,878 360 MILLION GIGA BITES OF DATA 1946 01:21:27,878 --> 01:21:29,480 WITHIN THE STRIDES UMBRELLA AND 1947 01:21:29,480 --> 01:21:32,350 WE SUPPORT MORE THAN 2500 1948 01:21:32,350 --> 01:21:33,284 RESEARCH PROGRAMS ACROSS THERE 1949 01:21:33,284 --> 01:21:34,885 AND BASICALLY EVERY TYPE OF DATA 1950 01:21:34,885 --> 01:21:39,757 YOU MIGHT IMAGINE IS SUPPORTED 1951 01:21:39,757 --> 01:21:42,393 -- IS NOW CURRENTLY SUPPORTED 1952 01:21:42,393 --> 01:21:46,430 WITHIN STRIDES OR LEVERAGED 1953 01:21:46,430 --> 01:21:47,064 WITHIN DRIVES. 1954 01:21:47,064 --> 01:21:50,067 MANY PROGRAMS, SOME ARE NHLBI 1955 01:21:50,067 --> 01:21:51,669 PROGRAMS THAT YOU WITHIN THE 1956 01:21:51,669 --> 01:21:53,304 STRIDES ARE WITHIN STRIDES 1957 01:21:53,304 --> 01:21:59,477 INCLUDING ALL OF US, AND OTHERS 1958 01:21:59,477 --> 01:22:01,412 THAT ARE ALL SHARED HERE AND 1959 01:22:01,412 --> 01:22:05,149 REALLY I THINK WE'RE SEEING AN 1960 01:22:05,149 --> 01:22:09,020 ECOSYSTEM OF THESE PLATFORMS ARE 1961 01:22:09,020 --> 01:22:10,855 BEING LEVERAGED AGAIN WITHIN 1962 01:22:10,855 --> 01:22:13,591 STRIDES, AND CIT IS VERY PROUD 1963 01:22:13,591 --> 01:22:16,994 OF OUR, YOU KNOW OUR ROLE WITHIN 1964 01:22:16,994 --> 01:22:18,963 STRIDES AND WE REALLY APPRECIATE 1965 01:22:18,963 --> 01:22:20,598 OUR PARTNERSHIP WITH THE OFFICE 1966 01:22:20,598 --> 01:22:24,201 OF DATA SCIENCE STRATEGY AND THE 1967 01:22:24,201 --> 01:22:25,603 ASSOCIATE DIRECTOR OR SUSAN 1968 01:22:25,603 --> 01:22:27,872 GREGORY IN HER LEADERSHIP IN 1969 01:22:27,872 --> 01:22:30,041 DEVELOPING AND KIND OF 1970 01:22:30,041 --> 01:22:30,541 IMPLEMENTING STRIDES. 1971 01:22:30,541 --> 01:22:32,376 SOMETHING I WANT TO MENTION IS 1972 01:22:32,376 --> 01:22:33,811 THAT YOU KNOW 1 OF THE THINGS 1973 01:22:33,811 --> 01:22:35,079 I'M EXCITED ABOUT IS THAT 1974 01:22:35,079 --> 01:22:37,615 STRIDES IS MORE THAN JUST 1975 01:22:37,615 --> 01:22:38,482 COMPUTING THAT'S VIRTUAL. 1976 01:22:38,482 --> 01:22:43,421 WE CAN BUILD UPON STRIDES TO DO 1977 01:22:43,421 --> 01:22:44,855 YOU KNOW NEW AND BETTER THINGS 1978 01:22:44,855 --> 01:22:47,191 THAT ARE MAYBE MORE THAN THE SUM 1979 01:22:47,191 --> 01:22:47,825 OF THEIR PARTS. 1980 01:22:47,825 --> 01:22:50,161 SO 1 OF THOSE AREAS THAT I'M 1981 01:22:50,161 --> 01:22:54,632 EXCITED ABOUT IS NIH CLOUD LAB. 1982 01:22:54,632 --> 01:22:56,667 IT'S AN EXPERIMENT THAT ENABLING 1983 01:22:56,667 --> 01:22:58,169 INVESTIGATORS TO BOTH BE ABLE TO 1984 01:22:58,169 --> 01:22:59,670 TRY THE CLOUD AND KIND OF LEARN 1985 01:22:59,670 --> 01:23:03,541 HOW TO USE IT BAH ALSO TO GET 1986 01:23:03,541 --> 01:23:05,142 TRAINING TO DO OTHER THINGS THAT 1987 01:23:05,142 --> 01:23:08,012 THEY MIGHT DO AND SO, AT THE 1988 01:23:08,012 --> 01:23:10,247 VERY HIGHEST LEVEL, A CLOUD LAB 1989 01:23:10,247 --> 01:23:12,416 IS $500 OF CREDITS AND 90 DAYS 1990 01:23:12,416 --> 01:23:16,987 OF FREE CLOUD USAGE BUT THROUGH 1991 01:23:16,987 --> 01:23:18,456 SUSAN'S OFFICE, 1 OF THE THINGS 1992 01:23:18,456 --> 01:23:19,890 THAT CLOUD LAB HAS DONE IS THAT 1993 01:23:19,890 --> 01:23:21,859 THEY'VE WORKED WITH A NUMBER OF 1994 01:23:21,859 --> 01:23:23,160 IDEA STATES, CTR TO DEVELOP 1995 01:23:23,160 --> 01:23:25,296 TRAININGS ABOUT HOW TO DO 1996 01:23:25,296 --> 01:23:26,364 BIO-INFORMATICS IN THE CLOUD AND 1997 01:23:26,364 --> 01:23:28,733 THINGS LIKE THAT, ALL THOSE 1998 01:23:28,733 --> 01:23:29,900 TRAININGS ARE AVAILABLE TO 1999 01:23:29,900 --> 01:23:31,168 INVESTIGATORS THAT ARE 2000 01:23:31,168 --> 01:23:33,437 LEVERAGING CLOUD LAB AND SO THAT 2001 01:23:33,437 --> 01:23:35,940 KIND OF ENABLING THIS COMPUTING 2002 01:23:35,940 --> 01:23:37,575 PLATFORM, TO NOT ONLY ENABLE 2003 01:23:37,575 --> 01:23:38,943 INVESTIGATORS TO GET ACCESS TO 2004 01:23:38,943 --> 01:23:40,244 IT, BUT THEN ONCE INVESTIGATORS 2005 01:23:40,244 --> 01:23:43,714 GET ACCESS TO IT, WE'VE GOT 2006 01:23:43,714 --> 01:23:45,783 RESEARCHERS AND TRAINERS 2007 01:23:45,783 --> 01:23:46,484 COLLABORATING TO DEVELOP 2008 01:23:46,484 --> 01:23:51,389 MATERIALS TO LEARN HOW TO USE 2009 01:23:51,389 --> 01:23:51,722 THAT. 2010 01:23:51,722 --> 01:23:54,658 AND WITHIN THAT WE ARE SEEING 2011 01:23:54,658 --> 01:23:55,726 MORE DATA REPOSITORIES THAT 2012 01:23:55,726 --> 01:23:56,894 SUPPORT, THAT ARE SUPPORTED 2013 01:23:56,894 --> 01:23:58,963 WITHIN THE CLOUD, IT ENABLING 2014 01:23:58,963 --> 01:24:02,433 EVERYWHERE FROM AI DEVELOPMENT 2015 01:24:02,433 --> 01:24:07,505 TO DATA SHARING AND MODEL 2016 01:24:07,505 --> 01:24:09,140 SHARING, WITHIN THE NIH, I THINK 2017 01:24:09,140 --> 01:24:11,876 THIS IS DATA THAT'S A YEAR OLD 2018 01:24:11,876 --> 01:24:13,377 OR SO. 2019 01:24:13,377 --> 01:24:16,414 WE INVEST ABOUT -- WE INVESTED 2020 01:24:16,414 --> 01:24:23,220 ABOUT 300 MILLION IN AI PROJECTS 2021 01:24:23,220 --> 01:24:25,523 OFFICIALLY IN FY23 AND ABOUT A 2022 01:24:25,523 --> 01:24:27,358 BILLION DOLLARS IN TOTAL SINCE 2023 01:24:27,358 --> 01:24:31,862 2019 AND THAT DOESN'T INCLUDE 2024 01:24:31,862 --> 01:24:32,296 F-LAST YEAR. 2025 01:24:32,296 --> 01:24:36,801 AND AS YOU MIGHT EXPECT THE 2026 01:24:36,801 --> 01:24:39,570 SHARE OF AI FROM THE TOTAL OF 2027 01:24:39,570 --> 01:24:42,039 NIH BUDGET HAS INCREASED 2028 01:24:42,039 --> 01:24:43,474 SIGNIFICANTLY SINCE 2019 AND YOU 2029 01:24:43,474 --> 01:24:47,778 KNOW THERE ARE NUMEROUS 2030 01:24:47,778 --> 01:24:48,846 INITIATIVES THAT SUPPORT 2031 01:24:48,846 --> 01:24:50,114 INVESTIGATION INTO AND 2032 01:24:50,114 --> 01:24:53,284 UTILIZATION OF AI METHODS. 2033 01:24:53,284 --> 01:24:55,719 I THINK THIS IS SUCH AN 2034 01:24:55,719 --> 01:24:57,354 INCREDIBLE AREA AND OPPORTUNITY 2035 01:24:57,354 --> 01:24:59,657 NOT SURPRISINGLY AND I THINK THE 2036 01:24:59,657 --> 01:25:01,959 GROWTH OF FUNDING HAS ALSO 2037 01:25:01,959 --> 01:25:03,694 CREATED COMPUTATIONAL DEMAND FOR 2038 01:25:03,694 --> 01:25:11,502 YOU KNOW COMPUTATIONAL DEMAND 2039 01:25:11,502 --> 01:25:12,403 FOR DOING RESEARCH. 2040 01:25:12,403 --> 01:25:13,804 SO WITHIN -- WITHIN THE CLOUD WE 2041 01:25:13,804 --> 01:25:16,006 HAVE A NUMBER OF DATA PLATFORMS 2042 01:25:16,006 --> 01:25:20,211 THAT ARE SUPPORTED THAT HAVE 2043 01:25:20,211 --> 01:25:21,579 BEEN RELATIVELY STANDARDIZED FOR 2044 01:25:21,579 --> 01:25:22,413 USE. 2045 01:25:22,413 --> 01:25:24,014 THERE ARE TOOLS YOU MAY HAVE 2046 01:25:24,014 --> 01:25:31,255 HEARD OF THEM, GEN3, TERRA, 2047 01:25:31,255 --> 01:25:32,556 CAVATICA, FOUNDRY, BRICS 2048 01:25:32,556 --> 01:25:36,393 SUPPORTS WITHIN CIT, AND THESE 2049 01:25:36,393 --> 01:25:38,128 TOOLS SUPPORT ANALYZING DATA, 2050 01:25:38,128 --> 01:25:39,964 SHARING DATA AND BUILDING UPON 2051 01:25:39,964 --> 01:25:41,365 THAT AND THESE -- AND WE SUPPORT 2052 01:25:41,365 --> 01:25:44,535 A NUMBER OF THESE SORT OF 2053 01:25:44,535 --> 01:25:48,005 PLATFORMS ACROSS THE NIH AND A 2054 01:25:48,005 --> 01:25:50,608 NUMBER OF THE COMMUNITIES IN A 2055 01:25:50,608 --> 01:25:53,410 FEW SLIDES A SHARED AGO AND IN 2056 01:25:53,410 --> 01:25:56,947 UTILIZING SLIDES IS USING 1 OF 2057 01:25:56,947 --> 01:25:59,250 THESE PLATFORMS AND THESE TOOLS 2058 01:25:59,250 --> 01:26:00,184 ENABLE THAT STANDARDIZATION. 2059 01:26:00,184 --> 01:26:01,585 I'M REALLY HOPEFUL THAT AS WE 2060 01:26:01,585 --> 01:26:02,953 CONTRIBUTE STANDARDS TO THE 2061 01:26:02,953 --> 01:26:06,023 TECHNOLOGIES HERE THAT WE REALLY 2062 01:26:06,023 --> 01:26:07,758 TAKE ON WHAT I CALL ENTERPRISE 2063 01:26:07,758 --> 01:26:08,826 THINKING, THAT IS WE THINK ABOUT 2064 01:26:08,826 --> 01:26:11,829 WHAT ARE THE KIND OF STANDARD 2065 01:26:11,829 --> 01:26:12,763 MAYBE BORING THINGS WE CAN PUT 2066 01:26:12,763 --> 01:26:16,267 IN PLACE TO MAKE IT MORE 2067 01:26:16,267 --> 01:26:17,468 EFFICIENT TO BUILD DATA 2068 01:26:17,468 --> 01:26:19,770 PLATFORMS AND DATA RESOURCES IN 2069 01:26:19,770 --> 01:26:21,038 THE FUTURE, EVERYWHERE FROM 2070 01:26:21,038 --> 01:26:22,907 STANDARDIZING HOW WE LOG INTO A 2071 01:26:22,907 --> 01:26:25,209 SYSTEM, HOW WE AUTHORIZE ACCESS 2072 01:26:25,209 --> 01:26:27,411 TO DATA, HOW WE -- THE CLOUD 2073 01:26:27,411 --> 01:26:29,179 PLATFORM THAT WE USE, YOU KNOW 2074 01:26:29,179 --> 01:26:31,715 THINGS LIKE THAT, ALL OF THE 2075 01:26:31,715 --> 01:26:33,584 BASIC KIND OF STANDARD 2076 01:26:33,584 --> 01:26:35,519 COMPONENTS CAN BE STANDARDIZED 2077 01:26:35,519 --> 01:26:37,154 AND EVERY TIME WE STANDARDIZE 2078 01:26:37,154 --> 01:26:40,424 THEM WE BASICALLY MAKE IT A 2079 01:26:40,424 --> 01:26:42,459 LITTLE BIT EASIER TO ACHIEVE OUR 2080 01:26:42,459 --> 01:26:43,928 GOALS AROUND DATA, DATA SHARING 2081 01:26:43,928 --> 01:26:48,666 AND SCIENCE AND ANALYSIS OF THAT 2082 01:26:48,666 --> 01:26:48,866 DATA. 2083 01:26:48,866 --> 01:26:51,902 ONE OF THOSE EXAMPLES IS THE 2084 01:26:51,902 --> 01:26:54,305 RESEARCH OFFICE SERVICE OR RAS, 2085 01:26:54,305 --> 01:26:57,841 A COMMON TASK IN COMPUTER 2086 01:26:57,841 --> 01:26:58,542 RESOURCES IS AUTHICATION, ONCE 2087 01:26:58,542 --> 01:27:00,611 WE GET INTO A SYSTEM, LOG INTO 2088 01:27:00,611 --> 01:27:02,780 THE SYSTEM, THE SYSTEM TRUSTS 2089 01:27:02,780 --> 01:27:04,548 OUR IDENTITY WE THEN NEED TO BE 2090 01:27:04,548 --> 01:27:06,183 AUTHORIZED TO CERTAIN TYPES OF 2091 01:27:06,183 --> 01:27:06,517 DATA. 2092 01:27:06,517 --> 01:27:09,053 FOR EXAMPLE WHEN I LOG INTO MY 2093 01:27:09,053 --> 01:27:09,987 E-MAIL, MY E-MAIL SYSTEM KNOWS 2094 01:27:09,987 --> 01:27:11,956 MY IEE, AUDIENCE DENTITY BUT I'M 2095 01:27:11,956 --> 01:27:14,191 ONLY AUTHORIZED TO SEE MY E-MAIL 2096 01:27:14,191 --> 01:27:15,693 I'M NOT AUTHORIZED TO SEE 2097 01:27:15,693 --> 01:27:22,132 ANYBODY ELSE'S E-MAIL AND THAT 2098 01:27:22,132 --> 01:27:23,100 AUTHORIZATION ALSO WORKS WITHIN 2099 01:27:23,100 --> 01:27:24,602 DATA RESOURCES AND THERE ARE 2100 01:27:24,602 --> 01:27:29,406 STANDARD APPROACHES TO 2101 01:27:29,406 --> 01:27:30,774 DEVELOPING AUTHENTICICATION AND 2102 01:27:30,774 --> 01:27:31,809 AUTHORIZATION TOOLS. 2103 01:27:31,809 --> 01:27:37,281 SO FOR EXAMPLE, WE USE GA4G H 2104 01:27:37,281 --> 01:27:38,415 STANDARDS AROUND AUTHORIZATION 2105 01:27:38,415 --> 01:27:40,184 TO WOULD ENABLE AUTHORIZATION 2106 01:27:40,184 --> 01:27:42,019 ACROSS MULTIPLE DATA RESOURCES 2107 01:27:42,019 --> 01:27:44,755 THAT ARE MANAGED BY MULTIPLE 2108 01:27:44,755 --> 01:27:46,156 INDIVIDUALS THAT WOULD ENABLE AN 2109 01:27:46,156 --> 01:27:49,426 INVESTIGATOR TO GET ACCESS TO 2110 01:27:49,426 --> 01:27:51,829 THOSE MULTIPLE DATA SETS THEY'RE 2111 01:27:51,829 --> 01:27:53,230 AUTHORIZED TO SEE ACROSS 2112 01:27:53,230 --> 01:27:54,965 RESOURCES AGAIN USING THAT 2113 01:27:54,965 --> 01:27:55,566 STANDARD. 2114 01:27:55,566 --> 01:27:57,701 THIS IS A WONDERFUL 2115 01:27:57,701 --> 01:27:59,236 COLLABORATION BETWEEN THE OFFICE 2116 01:27:59,236 --> 01:28:01,372 OF DATA SCIENCE STRATEGY AND CIT 2117 01:28:01,372 --> 01:28:03,173 AND RAS IS 1 OF THOSE LEGOS THAT 2118 01:28:03,173 --> 01:28:07,544 I'M TALKING ABOUT WHERE WE'RE 2119 01:28:07,544 --> 01:28:09,279 TRYING TO CONTRIBUTE HORIZONTAL 2120 01:28:09,279 --> 01:28:11,382 PLATFORMS THAT CAN BE USED BY 2121 01:28:11,382 --> 01:28:13,117 EVERYBODY, THAT CAN ENABLE US TO 2122 01:28:13,117 --> 01:28:16,520 GET ACCESS TO DAT AND TO MANAGE 2123 01:28:16,520 --> 01:28:17,488 INDIVIDUAL RESEARCHER IDENTITIES 2124 01:28:17,488 --> 01:28:18,889 FROM DATA RESOURCES THAT WE 2125 01:28:18,889 --> 01:28:20,290 DON'T HAVE TO REINVENT THE WHEEL 2126 01:28:20,290 --> 01:28:22,459 EVERY SINGLE TIME WE DO THIS. 2127 01:28:22,459 --> 01:28:24,228 WORK SPACE IS SOMETHING THAT'S A 2128 01:28:24,228 --> 01:28:25,396 VERY HOT TOPIC FOR US RIGHT NOW. 2129 01:28:25,396 --> 01:28:27,898 WE WANT TO BE ABLE TO CREATE 2130 01:28:27,898 --> 01:28:31,001 WHAT I WOULD CALL SAND BOXES OR 2131 01:28:31,001 --> 01:28:32,836 ENCLAVES IN THE CLOUD THAT CAN 2132 01:28:32,836 --> 01:28:34,304 LEVERAGE DATA SETS FOR MULTIPLE 2133 01:28:34,304 --> 01:28:39,677 RESOURCES AND WE WANT TO BE ABLE 2134 01:28:39,677 --> 01:28:41,412 TO PROVIDE THESE ANALYTICS TOOL 2135 01:28:41,412 --> 01:28:43,080 BOXES TO AN INVESTIGATOR IN A 2136 01:28:43,080 --> 01:28:46,016 WAY THAT THEY'RE FAMILIAR WITH 2137 01:28:46,016 --> 01:28:48,318 CNET, SO IN OTHER WORDS IF THE 2138 01:28:48,318 --> 01:28:49,820 INVESTIGATOR WANTS TO DO GENOME 2139 01:28:49,820 --> 01:28:51,588 ANALYSIS ON SAY A HUNDRED 2140 01:28:51,588 --> 01:28:53,424 THOUSAND GENOMES, AND THEY HAVE 2141 01:28:53,424 --> 01:28:54,291 COMPUTATIONAL TOOLS TO DO THAT, 2142 01:28:54,291 --> 01:28:55,726 WE WOULD LIKE TO BE ABLE TO SPIN 2143 01:28:55,726 --> 01:28:57,428 UP, WHAT I WOULD LIKE TO SAY 2144 01:28:57,428 --> 01:28:58,796 SPIN UP AT A COMPUTER 2145 01:28:58,796 --> 01:29:00,264 ENVIRONMENT IN THE CLOUD, GIVE 2146 01:29:00,264 --> 01:29:03,000 THEM ACCESS TO IT, AND THEN 2147 01:29:03,000 --> 01:29:05,069 ENABLE THEM TO HAVE ACCESS TO 2148 01:29:05,069 --> 01:29:07,271 THE HUNDRED THOUSAND GENOMES 2149 01:29:07,271 --> 01:29:09,039 EVEN THOUGH THEY MAY NOT BE CO 2150 01:29:09,039 --> 01:29:09,973 LOCATED WITHIN THE SAME 2151 01:29:09,973 --> 01:29:11,608 ENVIRONMENT AND THEN HAVE THE 2152 01:29:11,608 --> 01:29:12,443 ANALYTICS TOOLS THEY NEED IN 2153 01:29:12,443 --> 01:29:13,977 FRONT OF THEM TO BE ABLE TO DO 2154 01:29:13,977 --> 01:29:14,378 THAT ANALYSIS. 2155 01:29:14,378 --> 01:29:18,082 THERE ARE A NUMBER OF STANDARD 2156 01:29:18,082 --> 01:29:20,350 PLATFORMS THAT ENABLE THESE KIND 2157 01:29:20,350 --> 01:29:22,352 OF CLOUD-LIKE SAND BOXES, YOU'VE 2158 01:29:22,352 --> 01:29:25,823 PROBABLY HEARD SOME OF THEM 2159 01:29:25,823 --> 01:29:31,028 EVERYWHERE FROM P A LANTIR, 2160 01:29:31,028 --> 01:29:32,429 GALAXY, DNANNEXUS, FLY WHEEL, 2161 01:29:32,429 --> 01:29:33,697 AND THIS IS WHERE WE LIKE PEOPLE 2162 01:29:33,697 --> 01:29:35,799 TO GO TO BE ABLE TO PROVIDE A 2163 01:29:35,799 --> 01:29:37,534 LITTLE BIT MORE OF THAT SAND BOX 2164 01:29:37,534 --> 01:29:39,036 AS A SERVICE WE CAN PROVIDE TO 2165 01:29:39,036 --> 01:29:40,437 INVESTIGATORS THAT WANT TO DO 2166 01:29:40,437 --> 01:29:43,407 ANALYSIS IN THE CLOUD IS THAT WE 2167 01:29:43,407 --> 01:29:44,775 CAN CREATE NASCENT ADHOC 2168 01:29:44,775 --> 01:29:48,178 ENVIRONMENTS FOR A RESEARCHER TO 2169 01:29:48,178 --> 01:29:50,114 DO THE KIND OF WORK THEY NEED TO 2170 01:29:50,114 --> 01:29:51,648 DO TO SOLVE THE KIND OF PROBLEMS 2171 01:29:51,648 --> 01:29:54,518 THAT I NEED TO SOLVE QUICKLY AND 2172 01:29:54,518 --> 01:29:54,818 EFFICIENTLY. 2173 01:29:54,818 --> 01:29:56,520 SO OUR HOPE IS IN THE FUTURE 2174 01:29:56,520 --> 01:29:59,923 THIS WOULD BE PLUG AND PLAY, IT 2175 01:29:59,923 --> 01:30:01,291 WILL BE STANDARDIZED AND IT WILL 2176 01:30:01,291 --> 01:30:03,861 BE EASY TO DO WITH SUPPORT AND 2177 01:30:03,861 --> 01:30:05,129 GROWING NIH DATA ECOSYSTEM WHERE 2178 01:30:05,129 --> 01:30:07,364 IF YOUR USING THE STANDARD 2179 01:30:07,364 --> 01:30:09,666 PLATFORMS, OF WHICH, YOU KNOW 2180 01:30:09,666 --> 01:30:11,401 FOR EXAMPLE, NHLBI DOES AND IS A 2181 01:30:11,401 --> 01:30:13,270 HEAVY USER OF THAT YOU WILL BE 2182 01:30:13,270 --> 01:30:14,104 ABLE ON ENABLE INVESTIGATORS IN 2183 01:30:14,104 --> 01:30:16,073 THE FUTURE TO BE ABLE TO GET 2184 01:30:16,073 --> 01:30:17,841 ACCESS TO DATA AND DO THAT KIND 2185 01:30:17,841 --> 01:30:19,810 OF ANALYSIS THEY WANT TO DO, 2186 01:30:19,810 --> 01:30:20,444 AGAIN, VERYENTIOUS FICIENTLY IN 2187 01:30:20,444 --> 01:30:23,981 THE CLOUD AND HOPEFULLY 2188 01:30:23,981 --> 01:30:24,748 INEXPENSIVELY AS WELL. 2189 01:30:24,748 --> 01:30:26,350 THERE ARE MANY NIH PROGRAMS THAT 2190 01:30:26,350 --> 01:30:27,918 ARE ALREADY USING WORK SPACES, 2191 01:30:27,918 --> 01:30:32,089 AND AGAIN, WE'RE WORKING TO 2192 01:30:32,089 --> 01:30:33,023 STANDARDIZE THAT AND HERE ARE 2193 01:30:33,023 --> 01:30:37,194 JUST A FEW EXAMPLES OF THEM ON 2194 01:30:37,194 --> 01:30:38,529 THIS SLIDE. 2195 01:30:38,529 --> 01:30:40,063 SOMETHING THAT I'M ALSO 2196 01:30:40,063 --> 01:30:41,865 INTERESTED IN, I'M ALSO AN 2197 01:30:41,865 --> 01:30:42,666 INVESTIGATOR, YOU PROBABLY SAW 2198 01:30:42,666 --> 01:30:44,868 THIS YEAR THAT THE NOBEL PRIZE 2199 01:30:44,868 --> 01:30:47,404 IN CHEMISTRY WAS AWARDED TO A 2200 01:30:47,404 --> 01:30:48,639 NUMBER OF INVESTIGATORS THAT YOU 2201 01:30:48,639 --> 01:30:51,408 KNOW SOLVE THE PROTEIN STRUCTURE 2202 01:30:51,408 --> 01:30:56,780 PREDICTION PROBLEM USING 2203 01:30:56,780 --> 01:30:59,149 COMPUTATIONAL METHODS AND I 2204 01:30:59,149 --> 01:31:00,417 THINK IT'S REALLY IMPORTANT TO 2205 01:31:00,417 --> 01:31:02,853 GIVE CREDIT TO THE CRITICAL 2206 01:31:02,853 --> 01:31:03,821 ASSESSMENT OF STRUCTURE 2207 01:31:03,821 --> 01:31:04,121 PREDICTION. 2208 01:31:04,121 --> 01:31:05,856 I DON'T KNOW HOW MANY OF YOU ARE 2209 01:31:05,856 --> 01:31:08,392 FAMILIAR WITH THIS BUT THIS IS 2210 01:31:08,392 --> 01:31:09,927 AN ANNUAL CHALLENGE THAT'S BEEN 2211 01:31:09,927 --> 01:31:11,428 HAPPENING SINCE THE EARLY 90S 2212 01:31:11,428 --> 01:31:13,063 WHERE THE COMMUNITY OF 2213 01:31:13,063 --> 01:31:13,997 SCIENTISTS GOT TOGETHER THAT 2214 01:31:13,997 --> 01:31:16,266 WERE TRYING TO SOLVE THE PROTEIN 2215 01:31:16,266 --> 01:31:17,334 STRUCTURE PREDICTION PROBLEM AND 2216 01:31:17,334 --> 01:31:20,304 SAID, WE NEED TO HAVE AN 2217 01:31:20,304 --> 01:31:23,006 UNBIASED WAY TO ASSESS EVERY 2218 01:31:23,006 --> 01:31:25,175 YEAR OR EVERY 2 YEARS ACTUALLY 2219 01:31:25,175 --> 01:31:27,077 WHETHER -- HOW CLOSE OUR 2220 01:31:27,077 --> 01:31:28,212 COMPUTATIONAL METHODS WERE 2221 01:31:28,212 --> 01:31:30,848 GETTING TO SOLVING THIS VERY 2222 01:31:30,848 --> 01:31:31,281 CHALLENGING PROBLEM. 2223 01:31:31,281 --> 01:31:38,555 THIS WAS FUNDED BY NI GMS AND 2224 01:31:38,555 --> 01:31:41,425 EVERY 2 YEARS, THE CASP 2225 01:31:41,425 --> 01:31:42,426 COMPETITION WOULD ANOWBS THAT 2226 01:31:42,426 --> 01:31:44,027 WE'RE GETTING CLOSINGER AND 2227 01:31:44,027 --> 01:31:45,329 CLOSER TO SOLVING THE STRUCTURE 2228 01:31:45,329 --> 01:31:46,029 PREDICTION PROBLEM AND IT WAS 2229 01:31:46,029 --> 01:31:47,631 THEN THAT WE WERE ABLE TO 2230 01:31:47,631 --> 01:31:48,532 ANNOUNCE THAT IT HAD BEEN SOLVED 2231 01:31:48,532 --> 01:31:51,935 IN A WAY THAT WAS ABLE TO EBABLE 2232 01:31:51,935 --> 01:31:53,437 THOSE INVESTIGATORS TO RECEIVE 2233 01:31:53,437 --> 01:31:55,539 THE NOBEL PRIZE, THAT'S DAVID 2234 01:31:55,539 --> 01:31:58,842 BAKER'S GROUP AND THE ALPHA FOLD 2235 01:31:58,842 --> 01:31:59,076 TEAM. 2236 01:31:59,076 --> 01:32:03,146 SO I REALLY LIKE THESE SORT OF 2237 01:32:03,146 --> 01:32:03,947 COMMUNITY DRIVEN APPROACHES 2238 01:32:03,947 --> 01:32:04,715 WHERE COMMUNITIES AND 2239 01:32:04,715 --> 01:32:05,649 INVESTIGATORS GET TOGETHER AND 2240 01:32:05,649 --> 01:32:07,584 SAY, WE'RE GOING TO TRY TO SOLVE 2241 01:32:07,584 --> 01:32:09,686 A CERTAIN PROBLEM IN A VERY 2242 01:32:09,686 --> 01:32:11,655 STANDARDIZED WAY AND I THINK WE 2243 01:32:11,655 --> 01:32:13,123 CAN REALLY DEMONSTRATE THAT 2244 01:32:13,123 --> 01:32:15,859 THESE PROBLEMS CAN BE -- CAN 2245 01:32:15,859 --> 01:32:17,694 HELP US SOLVE, YOU KNOW 2246 01:32:17,694 --> 01:32:19,796 CHALLENGING PROBLEMS FOR EXAMPLE 2247 01:32:19,796 --> 01:32:20,464 IN ARTIFICIAL INTELLIGENCE. 2248 01:32:20,464 --> 01:32:22,199 WE ALSO HAVE A NUMBER OF 2249 01:32:22,199 --> 01:32:26,403 BUSINESS CASES OF USE OF AI IN 2250 01:32:26,403 --> 01:32:28,405 -- WITHIN THE NIH, I THINK I 2251 01:32:28,405 --> 01:32:29,573 WILL TALK A LITTLE BIT MORE 2252 01:32:29,573 --> 01:32:31,308 ABOUT THIS IN A SECOND, FOR 2253 01:32:31,308 --> 01:32:35,145 EXAMPLE, WE HAVE A TOOL CALLED 2254 01:32:35,145 --> 01:32:36,613 TRIAL GPT USED IN THE CLINICAL 2255 01:32:36,613 --> 01:32:38,782 SPACE WHERE WE ARE MATCHING 2256 01:32:38,782 --> 01:32:39,917 PATIENTS USING CLINICAL TRIALS 2257 01:32:39,917 --> 01:32:41,752 USING CLINICAL DATA AND THIS IS 2258 01:32:41,752 --> 01:32:42,686 SOMETHING THAT'S OPERATIONAL AND 2259 01:32:42,686 --> 01:32:47,391 CAN YOU KNOW HOPEFULLY ASSIST 2260 01:32:47,391 --> 01:32:48,692 HEALTHCARE IN DEVELOPING PATIENT 2261 01:32:48,692 --> 01:32:52,629 MATCHING WHICH IS A CHALLENGING 2262 01:32:52,629 --> 01:32:53,130 PROBLEM. 2263 01:32:53,130 --> 01:32:54,865 TO THAT RESPECT, WE HAVE A 2264 01:32:54,865 --> 01:32:56,466 NUMBER OF OTHER OPERATIONAL AI 2265 01:32:56,466 --> 01:33:00,070 PROJECTS THAT ARE GOING ON HERE 2266 01:33:00,070 --> 01:33:02,806 THAT ARE NOT RESEARCH, WE'VE 2267 01:33:02,806 --> 01:33:04,675 ENTERED A NEW AGE I THINK THAT 2268 01:33:04,675 --> 01:33:08,912 RESEARCHERS ARE STARTING TO 2269 01:33:08,912 --> 01:33:10,781 APPRECIATE THAT AND THAT IS THAT 2270 01:33:10,781 --> 01:33:12,616 AI IS NOW OPERATIONAL WE ARE 2271 01:33:12,616 --> 01:33:22,559 SEEING IT IN OUR COMMON LIVES 2272 01:33:22,559 --> 01:33:24,528 THAT ARE IMPLEMENTED WITH 2273 01:33:24,528 --> 01:33:25,696 ADVANCED DATA SCIENCE AND IT'S 2274 01:33:25,696 --> 01:33:27,331 LIKE PUTTING IN PLACE SOFTWARE 2275 01:33:27,331 --> 01:33:31,268 SO WE'RE FOR EXAMPLE, SEEING 2276 01:33:31,268 --> 01:33:33,971 THINGS LIKE MICROSOFT CO PILOT 2277 01:33:33,971 --> 01:33:34,538 THAT'S SUMMARIZING E-MAILS. 2278 01:33:34,538 --> 01:33:38,375 IF YOU HAVE AN APPLE IPHONE AND 2279 01:33:38,375 --> 01:33:40,210 THEY HAVE APPLE INTELIENCE CAN 2280 01:33:40,210 --> 01:33:41,945 AND THEY HAVE SIRI TALK TO YOU 2281 01:33:41,945 --> 01:33:43,580 AND TELL YOU AND TALK TO YOU 2282 01:33:43,580 --> 01:33:45,782 THINGS BASED ON A LARGE LANGUAGE 2283 01:33:45,782 --> 01:33:47,517 MODEL, SO WE'RE SEEING THIS 2284 01:33:47,517 --> 01:33:48,785 EVERYWHERE, IT'S GOING TO 2285 01:33:48,785 --> 01:33:50,320 CONTINUE TO GROW, THERE ARE A 2286 01:33:50,320 --> 01:33:51,955 NUMBER OF BENEFITS OF 2287 01:33:51,955 --> 01:33:53,223 IMPLEMENTING THIS, BUT THERE ARE 2288 01:33:53,223 --> 01:34:03,734 ALSO RISKS AS YOU ALL KNOW, AI 2289 01:34:06,370 --> 01:34:08,005 CAN BE INEQUITABLE, WITH DATA 2290 01:34:08,005 --> 01:34:08,839 COMPANIES OUTSIDE OF YOUR 2291 01:34:08,839 --> 01:34:09,873 ENTERPRISE AND THAT DATA YOU 2292 01:34:09,873 --> 01:34:12,776 SHARE MAY BE USED TO TRAIN 2293 01:34:12,776 --> 01:34:13,010 MODELS. 2294 01:34:13,010 --> 01:34:15,479 AI CAN IMPACT HUMAN RIGHTS, IT 2295 01:34:15,479 --> 01:34:17,180 CAN BE UNSAFE, DRIFT IN ACRASE 2296 01:34:17,180 --> 01:34:18,515 MODEL EXPE MANY DATA PRIVACY 2297 01:34:18,515 --> 01:34:27,457 ISSUES SO WE NEED TO BE CAREFUL 2298 01:34:27,457 --> 01:34:29,426 AND IN THE USE OF AI AND SO WHAT 2299 01:34:29,426 --> 01:34:32,162 WE THINK IS GOVERNANCE HOW WE 2300 01:34:32,162 --> 01:34:34,131 IMPLEMENT OPERATIONAL REMARKS I 2301 01:34:34,131 --> 01:34:38,235 INTO THE NIH ECOSYSTEM FOR FOR 2302 01:34:38,235 --> 01:34:41,438 OPERATIONAL USE, IT COULD BEING 2303 01:34:41,438 --> 01:34:45,609 WEB SERVICES SUCH AS CHAT GPT ET 2304 01:34:45,609 --> 01:34:49,112 CETERA AND WE'VE RECENTLY 2305 01:34:49,112 --> 01:34:54,351 LAUNCHED A SECURE CHATGPT TO THE 2306 01:34:54,351 --> 01:34:55,185 NIH'S INTRAMURAL RESEARCH 2307 01:34:55,185 --> 01:34:56,787 COMMUNITY PROGRAM WHICH IS 2308 01:34:56,787 --> 01:34:59,322 CHIRP, WHICH IS CHAT FOR THE 2309 01:34:59,322 --> 01:35:03,326 IRP, AND NOW TODAY USERS CAN BE 2310 01:35:03,326 --> 01:35:04,094 TRAINED. 2311 01:35:04,094 --> 01:35:07,064 THEY CAN ATTEST TO NOT SHARING 2312 01:35:07,064 --> 01:35:07,864 NIH CONFIDENTIAL INFORMATION AND 2313 01:35:07,864 --> 01:35:09,533 THEN THEY WILL GET ACCESS TO A 2314 01:35:09,533 --> 01:35:12,169 WEB SERVICE THAT ENABLING THE 2315 01:35:12,169 --> 01:35:14,171 LATEST AND GREATEST CHATGPT 2316 01:35:14,171 --> 01:35:16,139 MODELS AND I THINK IT'S REALLY 2317 01:35:16,139 --> 01:35:17,274 IMPORTANT TO EMPHASIZE THAT 2318 01:35:17,274 --> 01:35:18,775 OVERSIGHT OF THIS IS NECESSARY 2319 01:35:18,775 --> 01:35:21,311 JUST LIKE WE OVERSEE OTHER IT 2320 01:35:21,311 --> 01:35:22,813 SYSTEMS, YOU KNOW IN TERMS TO 2321 01:35:22,813 --> 01:35:26,383 INSURE THAT WE ARE RESPONSIBLY 2322 01:35:26,383 --> 01:35:29,186 YOU KNOW IMPLEMENTING AI AND 2323 01:35:29,186 --> 01:35:31,054 DOING IT IN THE APPROPRIATE WAY 2324 01:35:31,054 --> 01:35:32,589 AND THEN CLINICAL ACTIVITIES 2325 01:35:32,589 --> 01:35:33,623 WHETHER IT BE CLINICAL TRIALS OR 2326 01:35:33,623 --> 01:35:36,093 WORK THAT WE DO AT THE CLINICAL 2327 01:35:36,093 --> 01:35:37,394 CENTER, YOU KNOW COULD BE 2328 01:35:37,394 --> 01:35:39,296 IMPLEMENTED IN SUCH A WAY THAT 2329 01:35:39,296 --> 01:35:45,302 YOU KNOW CAUSES PATIENT OR 2330 01:35:45,302 --> 01:35:47,938 CLINICAL HARM. 2331 01:35:47,938 --> 01:35:49,005 >> TODAY THERE'S ALMOST 195 USE 2332 01:35:49,005 --> 01:35:50,774 CASES WITHIN THE NIH THAT ARE 2333 01:35:50,774 --> 01:35:52,843 OPERATIONAL AI OF OF THEM 77 OF 2334 01:35:52,843 --> 01:35:54,678 THEM ARE OPERATIONAL TODAY AND 2335 01:35:54,678 --> 01:35:56,079 INCLUDE USES SUCH AS LARGE 2336 01:35:56,079 --> 01:36:00,383 LANGUAGE MODELS SO WE ARE A VERY 2337 01:36:00,383 --> 01:36:02,586 HEAVY USER OF ARTIFICIAL 2338 01:36:02,586 --> 01:36:04,154 INTELLIGENCE OPERATIONINGS TODAY 2339 01:36:04,154 --> 01:36:12,329 AND I EXPECT THIS WILL CONTINUE 2340 01:36:12,329 --> 01:36:12,863 TO GROW. 2341 01:36:12,863 --> 01:36:22,205 SO FOR EXAMPLE WE HAVE AN LLM 2342 01:36:22,205 --> 01:36:24,574 PROGRAM, AND THEY CAN USE AND 2343 01:36:24,574 --> 01:36:26,843 STREAMLINE THE REVIEW PROCESS 2344 01:36:26,843 --> 01:36:30,514 AND SEE THE DMS PLANS THAT COME 2345 01:36:30,514 --> 01:36:30,947 FORWARD. 2346 01:36:30,947 --> 01:36:32,782 I MENTIONED CHIRP ALREADY AND IT 2347 01:36:32,782 --> 01:36:35,085 WAS LAUNCHED JUST A FEW MONTHS 2348 01:36:35,085 --> 01:36:37,554 AGO, WE HAD ALMOST 600 PEOPLE 2349 01:36:37,554 --> 01:36:38,722 ATTEND THE CHIRP LUNCH EVENT SO 2350 01:36:38,722 --> 01:36:41,057 THIS IS JUST WITHIN THE IRP, SO 2351 01:36:41,057 --> 01:36:43,927 IT'S VERY, VERY POPULAR AND 2352 01:36:43,927 --> 01:36:45,362 USEFUL WITHIN THE NIH COMMUNITY 2353 01:36:45,362 --> 01:36:47,130 AND CO PILOT IS COMING, THIS IS 2354 01:36:47,130 --> 01:36:49,533 SOMETHING THAT'S VERY MUCH IN 2355 01:36:49,533 --> 01:36:50,500 DEMAND, IT'S LLM CONNECTED TO 2356 01:36:50,500 --> 01:36:55,272 E-MAIL AND TO TEAMS AND CAN DO 2357 01:36:55,272 --> 01:36:56,473 THINGS LIKE SUMMARIES AND WITHIN 2358 01:36:56,473 --> 01:36:57,507 THE FEDERAL GOVERNMENT, WE HAVE 2359 01:36:57,507 --> 01:37:00,577 TO USE THE FED RAMPED, THE 2360 01:37:00,577 --> 01:37:02,312 BASICALLY THE CO PILOT THAT IS 2361 01:37:02,312 --> 01:37:04,381 IN THE FEDERAL CLOUD, THAT'S 2362 01:37:04,381 --> 01:37:05,315 BECOMING AVAILABLE HERE AND NOW 2363 01:37:05,315 --> 01:37:07,551 IN APRIL AND WE WILL SEE IT 2364 01:37:07,551 --> 01:37:10,820 BEING ROLLING OUT -- ROLLING OUT 2365 01:37:10,820 --> 01:37:12,556 SHORTLY FOR PEOPLE WITHIN THE 2366 01:37:12,556 --> 01:37:14,157 NIH COMMUNITY TO USE. 2367 01:37:14,157 --> 01:37:15,926 ALL RIGHT, SO I'M JUST GOING TO 2368 01:37:15,926 --> 01:37:17,527 FINISH UP NOW, I THINK I'M 2369 01:37:17,527 --> 01:37:19,729 ALMOST OUT OF TIME, I MENTIONED 2370 01:37:19,729 --> 01:37:21,865 SEVERAL TIMES THAT WE REALLY 2371 01:37:21,865 --> 01:37:23,366 THINK ABOUT COMPUTING 2372 01:37:23,366 --> 01:37:24,734 INFRASTRUCTURE LIKE LEGOS, THAT 2373 01:37:24,734 --> 01:37:26,836 WE WANT TO PUT IN OPEN REUSABLE 2374 01:37:26,836 --> 01:37:28,338 TOOLS THAT SCIENTISTS CAN PULL 2375 01:37:28,338 --> 01:37:30,106 OFF THE SHELF AND USE AND THAT 2376 01:37:30,106 --> 01:37:33,944 BY USING THOSE TOOLS THEY BOTTOM 2377 01:37:33,944 --> 01:37:35,478 MORE STANDARDIZED AND MORE 2378 01:37:35,478 --> 01:37:38,048 ALIGNED WITH FOR EXAMPLE OUR 2379 01:37:38,048 --> 01:37:38,648 DATA SCIENCE STRATEGY. 2380 01:37:38,648 --> 01:37:40,684 AND THESE TOOLS CAN BE ANYTHING 2381 01:37:40,684 --> 01:37:42,385 THAT YOU MIGHT IMAGINE THAT 2382 01:37:42,385 --> 01:37:44,287 COULD BE USEFUL, IT'S NOT JUST 2383 01:37:44,287 --> 01:37:46,289 COMPUTING VIERPTS FOR LOGGING 2384 01:37:46,289 --> 01:37:50,227 IN, BUT IT COULD BE SPECIALIZED, 2385 01:37:50,227 --> 01:37:51,094 POWER INFORMATICS ANYTHING WE DO 2386 01:37:51,094 --> 01:37:52,796 AND MY HOPE IS THAT WE WILL 2387 01:37:52,796 --> 01:37:54,431 CONTINUE TO BUILD AND THINK 2388 01:37:54,431 --> 01:37:55,966 ABOUT THAT ECOSYSTEM OF THESE 2389 01:37:55,966 --> 01:37:57,033 LEGO BLOCKS THAT CAN BE PUT 2390 01:37:57,033 --> 01:37:58,201 TOGETHER AND DO THINGS. 2391 01:37:58,201 --> 01:38:02,839 SO WE ARE REALLY TRYING TO BUILD 2392 01:38:02,839 --> 01:38:04,140 THIS TECHNICAL GARDEN, AND YOU 2393 01:38:04,140 --> 01:38:05,642 KNOW KIND OF HERE'S WHAT MY 2394 01:38:05,642 --> 01:38:07,277 INTERESTS ARE IN THE FUTURE. 2395 01:38:07,277 --> 01:38:09,145 WE WANT TO REALLY SUPPORT 2396 01:38:09,145 --> 01:38:10,447 ADVANCING CLINICAL RESEARCH AND 2397 01:38:10,447 --> 01:38:14,517 TRIALS WITH TECHNOLOGY, WE WANT 2398 01:38:14,517 --> 01:38:17,420 TO DEVELOP NIH'S ADMINISTRATIVE 2399 01:38:17,420 --> 01:38:18,255 STRATEGY, SUPPORT TECH CAREERS 2400 01:38:18,255 --> 01:38:20,624 WITH WITHIN THE NIH AND 2401 01:38:20,624 --> 01:38:22,592 OPERATIONAL AI WITHIN THE NIH 2402 01:38:22,592 --> 01:38:24,494 AND WE WANT TO HELP ENTERPRISE 2403 01:38:24,494 --> 01:38:25,729 NIH SYSTEMS WITHIN THE CLOUD SO 2404 01:38:25,729 --> 01:38:27,430 THIS IS ALL OF THE THINGS THAT 2405 01:38:27,430 --> 01:38:30,033 WE EXCLUSIVELY WANT TO DO WITHIN 2406 01:38:30,033 --> 01:38:32,936 THE NIH, WHEN WE THINK ABOUT 2407 01:38:32,936 --> 01:38:35,505 OUTSIDE TO THE BROADER FOCUS ON 2408 01:38:35,505 --> 01:38:37,340 THE BIOMEDICAL RESEARCH 2409 01:38:37,340 --> 01:38:38,541 COMMUNITY, WE'RE REALLY FOCUSING 2410 01:38:38,541 --> 01:38:41,144 ON LEVERAGING AND LEADING THE 2411 01:38:41,144 --> 01:38:43,246 BIOMEDICAL SCIENCES -- THE 2412 01:38:43,246 --> 01:38:44,047 BIOMEDICAL SCIENCES TECHNICAL 2413 01:38:44,047 --> 01:38:46,016 COMMUNITY WILL RUN A SESSION AT 2414 01:38:46,016 --> 01:38:47,417 ISMB IN LIVER POOL THIS SUMMER 2415 01:38:47,417 --> 01:38:50,420 AND WILL BE DOING A WORKSHOP AT 2416 01:38:50,420 --> 01:38:52,622 THE PACIFICS SYMPOSIUM IN 2417 01:38:52,622 --> 01:38:53,657 BIOCOMPUTING NEXT JANUARY WHERE 2418 01:38:53,657 --> 01:38:57,227 WE ARE TRYING TO BRING TOGETHER 2419 01:38:57,227 --> 01:38:59,429 PEOPLE WHO WILL BE BETTER FLUENT 2420 01:38:59,429 --> 01:39:00,864 IN THE KINDS OF TOOLS WE ARE 2421 01:39:00,864 --> 01:39:02,265 LOOKING AT TODAY AND THEN WE ARE 2422 01:39:02,265 --> 01:39:03,533 CONTINUING TO SUPPORT USE OF THE 2423 01:39:03,533 --> 01:39:06,169 CLOUD BY RESEARCHERS AND 2424 01:39:06,169 --> 01:39:11,207 IMPROVING WHAT WE CALL FLUENCY 2425 01:39:11,207 --> 01:39:14,144 IN TERMS OF USE OF TECHNOLOGY 2426 01:39:14,144 --> 01:39:14,344 DATA. 2427 01:39:14,344 --> 01:39:16,179 WE HAVE A BROAD NEWS LETTER 2428 01:39:16,179 --> 01:39:17,347 THAT'S COMING OUT, YOU WILL SEE 2429 01:39:17,347 --> 01:39:19,115 IT, BEST PLACE TO FOLLOW IT 2430 01:39:19,115 --> 01:39:20,950 WOULD BE ON LINKEDin FROM ME 2431 01:39:20,950 --> 01:39:22,786 OR 1 OF MY STAFF AND YOU WILL 2432 01:39:22,786 --> 01:39:24,521 SEE IT SHARED THERE BUT CAN YOU 2433 01:39:24,521 --> 01:39:25,488 ALSO JUST REGISTER WITH AN 2434 01:39:25,488 --> 01:39:28,625 E-MAIL ONCE YOU SEE IT COME OUT. 2435 01:39:28,625 --> 01:39:30,627 IT SHOULD COME OUT HERE SHORTLY, 2436 01:39:30,627 --> 01:39:31,061 THE FIRST 1. 2437 01:39:31,061 --> 01:39:32,829 SO I WANT TO FINISH THERE AND I 2438 01:39:32,829 --> 01:39:35,131 WANT TO THANK DR. GIBBONS AND 2439 01:39:35,131 --> 01:39:36,666 EVERYBODY AT NHLBI WHO GAVE ME 2440 01:39:36,666 --> 01:39:37,934 AN OPPORTUNITY TO PRESENT TODAY. 2441 01:39:37,934 --> 01:39:39,369 I HOPE IT'S BEEN INTRIGUING AND 2442 01:39:39,369 --> 01:39:40,337 I WILL BE HAPPY TO TAKE 2443 01:39:40,337 --> 01:39:41,771 QUESTIONS AND --I HOPEFULLY 2444 01:39:41,771 --> 01:39:42,472 DIDN'T GO TOO LONG. 2445 01:39:42,472 --> 01:39:44,908 THANK YOU VERY MUCH. 2446 01:39:44,908 --> 01:39:54,751 >> THANK YOU, SEAN. 2447 01:39:54,751 --> 01:39:57,220 SO I WILL OPEN IT UP, I SEE A 2448 01:39:57,220 --> 01:40:00,790 HAND IS THAT YOU DR. REDLINE? 2449 01:40:00,790 --> 01:40:01,491 >> THAT WAS INTERESTING, THANK 2450 01:40:01,491 --> 01:40:01,825 YOU VERY MUCH. 2451 01:40:01,825 --> 01:40:02,826 IS CHIRP SOMETHING THAT MIGHT BE 2452 01:40:02,826 --> 01:40:05,662 AVAILABLE OUTSIDE OF THE NIH 2453 01:40:05,662 --> 01:40:07,997 ITSELF TO NIH INVESTIGATORS? 2454 01:40:07,997 --> 01:40:08,732 >> GOOD QUESTION. 2455 01:40:08,732 --> 01:40:11,034 I DON'T -- THAT'S A MORE COMPLEX 2456 01:40:11,034 --> 01:40:12,102 QUESTION TO ANSWER THAN I CAN 2457 01:40:12,102 --> 01:40:13,069 ANSWER RIGHT NOW BUT I CAN 2458 01:40:13,069 --> 01:40:14,971 FOLLOW UP ON THAT. 2459 01:40:14,971 --> 01:40:17,607 WE DO WOULD LIKE TO PROVIDE THE 2460 01:40:17,607 --> 01:40:19,242 SERVICES THAT WE PUT IN THE 2461 01:40:19,242 --> 01:40:22,645 CLOUD TO BE MADE AVAILABLE 2462 01:40:22,645 --> 01:40:24,848 BROADLY, YOU KNOW, I THINK OF 2463 01:40:24,848 --> 01:40:28,017 TECHNICAL TOOLS, I LIKE TO CALL 2464 01:40:28,017 --> 01:40:29,486 THEM HORIZONTAL, I WANT THEM 2465 01:40:29,486 --> 01:40:30,887 MADE AVAILABLE TO BE USED BY 2466 01:40:30,887 --> 01:40:32,088 EVERYBODY BECAUSE ONCE WE SILO 2467 01:40:32,088 --> 01:40:36,226 WE CREATE OTHER TYPES OF SILOS 2468 01:40:36,226 --> 01:40:36,893 LIKE DATA SILOS. 2469 01:40:36,893 --> 01:40:42,265 BUT IN TERMS OF CHIRCH, YOU HAE 2470 01:40:42,265 --> 01:40:43,533 TO THINK OF WORK TO DO THAT 2471 01:40:43,533 --> 01:40:45,735 BECAUSE OF THE FACT THAT IT'S IN 2472 01:40:45,735 --> 01:40:47,237 THE FEDERAL CLOUD ENVIRONMENT. 2473 01:40:47,237 --> 01:40:49,539 THE SOFTWARE IS CERTAINLY 2474 01:40:49,539 --> 01:40:50,106 INTEROPERABLE, THE SOFTWARE 2475 01:40:50,106 --> 01:40:51,841 COULD BE PUT INTO OTHER -- YOU 2476 01:40:51,841 --> 01:40:57,547 KNOW TO TALK TO OTHER CHAT GPT 2477 01:40:57,547 --> 01:41:01,551 APIs SO THAT MAY BE POSSIBLE 2478 01:41:01,551 --> 01:41:02,952 IN THE FUTURE. 2479 01:41:02,952 --> 01:41:03,586 >> DOCTOR? 2480 01:41:03,586 --> 01:41:03,887 >> GREAT. 2481 01:41:03,887 --> 01:41:06,556 MAYBE YOU CAN STOP SHARING? 2482 01:41:06,556 --> 01:41:06,856 >> YEAH. 2483 01:41:06,856 --> 01:41:08,391 >> SO THANK YOU FOR THE TALK. 2484 01:41:08,391 --> 01:41:10,360 IT WAS REALLY INTERESTING, I'M 2485 01:41:10,360 --> 01:41:13,763 SITTING HERE AT YOUR ALMA MATER 2486 01:41:13,763 --> 01:41:16,166 IN MADISON WHICH IS ALSO AS YOU 2487 01:41:16,166 --> 01:41:18,902 KNOW THE HOME OF THE EPIC, AND 1 2488 01:41:18,902 --> 01:41:22,539 OF THE THINGS THAT WASN'T 2489 01:41:22,539 --> 01:41:24,340 MENTIONED IS HOW INTERACTIONS 2490 01:41:24,340 --> 01:41:26,576 WITH THE EHR AND ARE THERE ANY 2491 01:41:26,576 --> 01:41:31,047 ONGOING DISCUSSIONS WITH EPIC OR 2492 01:41:31,047 --> 01:41:34,484 OTHER MAINLY EPIC TO REALLY 2493 01:41:34,484 --> 01:41:37,387 UTILIZE THAT RICH RESOURCE FOR 2494 01:41:37,387 --> 01:41:39,522 CLINICAL TRIALS FOR SO MUCH 2495 01:41:39,522 --> 01:41:40,323 INFORMATION IN THERE. 2496 01:41:40,323 --> 01:41:42,892 >> YEAH, SO EPIC AS YOU KNOW IS 2497 01:41:42,892 --> 01:41:44,861 RELEASING MODELS THAT CAN BE 2498 01:41:44,861 --> 01:41:46,930 IMPLEMENTED WITHIN THE IHR, THEY 2499 01:41:46,930 --> 01:41:48,998 ARE EVERYWHERE FROM LIKE AMBIENT 2500 01:41:48,998 --> 01:41:52,702 SCRIBE LIKE MODELS THAT HELP TRY 2501 01:41:52,702 --> 01:41:53,670 TO DRAFT DOCUMENTATION. 2502 01:41:53,670 --> 01:42:00,944 MY CHART HAS THESE INBOX MESSAGE 2503 01:42:00,944 --> 01:42:02,078 RESPONDER TO PROVIDERS THROUGH 2504 01:42:02,078 --> 01:42:04,080 MY EXPHART THERE'S A BUNCH OF 2505 01:42:04,080 --> 01:42:05,582 OTHER THINGS, PREDICTION OF 2506 01:42:05,582 --> 01:42:07,383 SEPSIS HAS BEEN IN PUBLICATIONS 2507 01:42:07,383 --> 01:42:07,584 A LOT. 2508 01:42:07,584 --> 01:42:09,586 I WILL GIVE YOU A SIDE ANSWER, 2509 01:42:09,586 --> 01:42:10,687 I'M NOT PERSONALLY TALKING TO 2510 01:42:10,687 --> 01:42:14,224 EPIC, I USED TO GO TO LIKE ALL 2511 01:42:14,224 --> 01:42:15,758 THE EPIC UG OR CAN'T REMEMBER 2512 01:42:15,758 --> 01:42:22,465 THE NAME OF THE EVENTS, I HAVE 2513 01:42:22,465 --> 01:42:24,901 TO SAY, I THINK WE NEED TO DO 2514 01:42:24,901 --> 01:42:26,736 PERHAPS A BETTER JOB OF 2515 01:42:26,736 --> 01:42:28,705 ECTOMYOSIN KLF-TWOING REAL WORLD 2516 01:42:28,705 --> 01:42:30,273 DAT ON THE UUTILIZATION OF AI 2517 01:42:30,273 --> 01:42:32,742 AND HOW IT AFFECTS CARE AND 2518 01:42:32,742 --> 01:42:33,710 OPERATIONS OF HEALTHCARE. 2519 01:42:33,710 --> 01:42:37,180 WE HAVE MOST EPIC SITES, HAVE 2520 01:42:37,180 --> 01:42:38,548 IMPLEMENTED FOR EXAMPLE, 2521 01:42:38,548 --> 01:42:39,716 DRAFTING MY CHART MESSAGES AND I 2522 01:42:39,716 --> 01:42:43,119 WOULD BE VERY INTERESTED, I 2523 01:42:43,119 --> 01:42:44,654 THINK WE SHOULD STUDY AND GIVE 2524 01:42:44,654 --> 01:42:45,455 OPPORTUNITIES FOR INVESTIGATORS 2525 01:42:45,455 --> 01:42:48,658 TO HAVE ACCESS TO AND STUDY, YOU 2526 01:42:48,658 --> 01:42:50,593 KNOW HOW -- HOW THOSE RESPONSES 2527 01:42:50,593 --> 01:42:51,895 MIGHT BE DIFFERENT FROM LIKE A 2528 01:42:51,895 --> 01:42:53,963 -- YOU KNOW A RESPONSE THAT 2529 01:42:53,963 --> 01:42:55,498 DIDN'T HAVE A DRAFT PRESENTED TO 2530 01:42:55,498 --> 01:42:56,900 THE PROVIDER AND THINGS LIKE 2531 01:42:56,900 --> 01:43:00,336 THAT SO I JUST THINK THAT AS WE 2532 01:43:00,336 --> 01:43:04,874 IMPLEMENT AI, IT'S IMPORTANT 2533 01:43:04,874 --> 01:43:08,711 THAT WE COLLECTED KIENTS OF DATA 2534 01:43:08,711 --> 01:43:10,847 TO STUDY THAT, LIKE OUTCOMES 2535 01:43:10,847 --> 01:43:11,180 DATA. 2536 01:43:11,180 --> 01:43:16,319 IN MY PREVIOUS ROLE, NOT AT THE 2537 01:43:16,319 --> 01:43:17,687 UNIVERSITY OF WISCONSIN, I WAS 2538 01:43:17,687 --> 01:43:20,423 CAREFUL TO ASK QUESTIONS LIKE, 2539 01:43:20,423 --> 01:43:22,158 WE'VE ENACTED THIS PREDICTOR OF 2540 01:43:22,158 --> 01:43:23,593 SEPSIS AND IT'S BEEN ACTIVE FOR 2541 01:43:23,593 --> 01:43:26,396 2 MONTHS AND CAN YOU NOW TELL ME 2542 01:43:26,396 --> 01:43:29,566 WHO GOT IT AND HOW DID WE 2543 01:43:29,566 --> 01:43:30,767 PREDICT IT IN AND SIMPLE 2544 01:43:30,767 --> 01:43:32,135 QUESTIONS LIKE THAT ARE VERY, 2545 01:43:32,135 --> 01:43:34,904 VERY HARD TO ASK AND COLLECT DAT 2546 01:43:34,904 --> 01:43:35,438 ON. 2547 01:43:35,438 --> 01:43:36,773 SO INDUSTRY WILL IMPLEMENT A LOT 2548 01:43:36,773 --> 01:43:40,677 OF AI AROUND US AND AS 2549 01:43:40,677 --> 01:43:41,377 RESEARCHERS IT'S OUR 2550 01:43:41,377 --> 01:43:42,645 RESPONSIBILITY TO COLLECT THAT 2551 01:43:42,645 --> 01:43:43,613 AND RESEARCH THE IMPACT OF THAT 2552 01:43:43,613 --> 01:43:44,948 AS WE DO WITH OTHER THINGS. 2553 01:43:44,948 --> 01:43:46,783 >> THE OTHER PART OF MY QUESTION 2554 01:43:46,783 --> 01:43:49,218 WAS BEING ABLE TO ACCESS ALL THE 2555 01:43:49,218 --> 01:43:54,624 DATA THAT EXISTS IN THE EHR TO 2556 01:43:54,624 --> 01:43:55,491 ANSWER QUESTIONS. 2557 01:43:55,491 --> 01:43:55,792 >> XCTLY. 2558 01:43:55,792 --> 01:43:58,161 AND WE NEED TO DO A BETTER JOB 2559 01:43:58,161 --> 01:43:59,362 OF STANDARDIZING THE KIND OF 2560 01:43:59,362 --> 01:44:00,997 DATA WE COLLECT, SO THAT WE CAN, 2561 01:44:00,997 --> 01:44:02,966 YOU KNOW LIKE THE SEPSIS 2562 01:44:02,966 --> 01:44:04,500 EXAMPLE, LIKE ACTUALLY NO, WHO 2563 01:44:04,500 --> 01:44:06,202 GOT SEPSIS, WHEN THEY GOT SEPSIS 2564 01:44:06,202 --> 01:44:07,270 AND WHETHER SOMETHING PREDICTED 2565 01:44:07,270 --> 01:44:10,573 THAT THEY GOT SEPSIS OR NOT. 2566 01:44:10,573 --> 01:44:12,976 THANK YOU FOR THE QUESTION. 2567 01:44:12,976 --> 01:44:17,914 >> THANK YOU. 2568 01:44:17,914 --> 01:44:18,381 GEORGE? 2569 01:44:18,381 --> 01:44:26,956 >> SEAN THIS, , THIS IS GEORGE I 2570 01:44:26,956 --> 01:44:29,225 WAS EXCITED TO HEAR ABOUT THE 2571 01:44:29,225 --> 01:44:31,294 WORK AND THE SAND BOXES AND THE 2572 01:44:31,294 --> 01:44:32,395 WORK OF COMMUNITY BUT I HAVE A 2573 01:44:32,395 --> 01:44:33,696 SENSE YOU'RE TALKING ABOUT THE 2574 01:44:33,696 --> 01:44:35,064 COMMUNITY OF SCIENTISTS, IT 2575 01:44:35,064 --> 01:44:37,900 WOULD BE GREAT IF YOU COULD 2576 01:44:37,900 --> 01:44:39,302 SHARE WITH US ABOUT HOW YOU 2577 01:44:39,302 --> 01:44:41,237 THINK ABOUT COMMUNITIES IN 2578 01:44:41,237 --> 01:44:43,840 INDIVIDUALS PARTICULARLY IN 2579 01:44:43,840 --> 01:44:45,842 RURAL AREAS, SOCIAL AND 2580 01:44:45,842 --> 01:44:46,476 ENVIRONMENTAL DETERMINANTS MAY 2581 01:44:46,476 --> 01:44:48,211 IMPACT THEIR LIVES AND MAY NOT 2582 01:44:48,211 --> 01:44:49,846 BE CAPTURED IN EHRs, HOW ARE 2583 01:44:49,846 --> 01:44:52,015 WE THINKING ABOUT MOVING FORWARD 2584 01:44:52,015 --> 01:44:53,783 WHEN IT COMES TO THAT? 2585 01:44:53,783 --> 01:44:55,218 >> YEAH, WE WERE JUST TALKING 2586 01:44:55,218 --> 01:44:56,619 ABOUT THIS IN THE PREVIOUS 2587 01:44:56,619 --> 01:44:58,054 QUESTION ABOUT HOW CLINICAL DATA 2588 01:44:58,054 --> 01:44:58,454 IS LIMITING. 2589 01:44:58,454 --> 01:45:00,456 I THINK WE NEED TO BOTH IMPROVE 2590 01:45:00,456 --> 01:45:01,124 CLINICAL DATA. 2591 01:45:01,124 --> 01:45:02,725 I THINK THE HEALTHCARE WORLD IS 2592 01:45:02,725 --> 01:45:04,127 STARTING TO COLLECT OTHER TYPES 2593 01:45:04,127 --> 01:45:06,696 OF DATA BUT WHEN WE DO RESEARCH 2594 01:45:06,696 --> 01:45:11,134 WE WANT TO BE ABLE TO HAVE 2595 01:45:11,134 --> 01:45:12,435 ACCESS TO BROAD SPECTRUMS OF 2596 01:45:12,435 --> 01:45:13,770 DATA THAT FIT THE KINDS OF 2597 01:45:13,770 --> 01:45:15,038 STUDIES THAT WE'RE DOING AND 2598 01:45:15,038 --> 01:45:18,207 THAT MEANS, YOU KNOW BEING 2599 01:45:18,207 --> 01:45:19,942 INCLUSIVE OF COMMUNITIES THAT 2600 01:45:19,942 --> 01:45:21,678 MAY NOT NORMALLY PARTICIPATE IN 2601 01:45:21,678 --> 01:45:23,646 RESEARCH OR HAVE ACCESS TO THE 2602 01:45:23,646 --> 01:45:24,781 KINDS OF TECHNOLOGIES THAT I'M 2603 01:45:24,781 --> 01:45:26,516 TALKING ABOUT HERE TODAY, BUT I 2604 01:45:26,516 --> 01:45:28,117 THINK IT ALSO MEANS BEING 2605 01:45:28,117 --> 01:45:30,687 CREATIVE ABOUT HOW WE INTEGRATE, 2606 01:45:30,687 --> 01:45:32,822 AGAIN, RESPONSIBLY AND ETHICALLY 2607 01:45:32,822 --> 01:45:34,524 INTEGRATE, YOU KNOW KIND OF 2608 01:45:34,524 --> 01:45:35,525 DESPERATE DATA SETS TOGETHER TO 2609 01:45:35,525 --> 01:45:37,427 BE ABLE TO MAXIMIZE OUR ABILITY 2610 01:45:37,427 --> 01:45:39,929 TO YOU KNOW TO DO STUDIES, YOU 2611 01:45:39,929 --> 01:45:46,269 KNOW PERHAPS AT THE POPULATION 2612 01:45:46,269 --> 01:45:48,204 LEVEL AND YOU KNOW I THINK WE'VE 2613 01:45:48,204 --> 01:45:49,706 SEEN A NUMBER OF DIFFERENT 2614 01:45:49,706 --> 01:45:53,176 APPROACHES THAT INVESTIGATORS 2615 01:45:53,176 --> 01:45:55,978 ARE TAKING, SOME ARE REALLY, 2616 01:45:55,978 --> 01:45:57,714 REALLY INNOVATIVE AND A LOT OF 2617 01:45:57,714 --> 01:45:59,315 THAT IS ROLLING YOUR SLEEVES UP 2618 01:45:59,315 --> 01:46:00,683 AND GETTING THAT DATA OF OUR 2619 01:46:00,683 --> 01:46:02,351 ABILITY TO LINK DAILY BASIS THEA 2620 01:46:02,351 --> 01:46:04,520 SETS USING TECHNOLOGIES LIKE 2621 01:46:04,520 --> 01:46:06,456 PRIVACY PRESERVING RECORD 2622 01:46:06,456 --> 01:46:07,990 LINKAGES BUT ALSO, YOU KNOW BUT 2623 01:46:07,990 --> 01:46:09,592 ALSO, YOU KNOW HAVING THE 2624 01:46:09,592 --> 01:46:12,128 APPROPRIATE KIND OF DATA USE 2625 01:46:12,128 --> 01:46:12,829 AGREEMENTS OR PARTNERSHIPS WITH 2626 01:46:12,829 --> 01:46:16,899 THE USE OF THOSE DATA SO WE CAN 2627 01:46:16,899 --> 01:46:19,335 AGAIN DO THE RESEARCH WE DESIRE 2628 01:46:19,335 --> 01:46:22,972 TO DO TO HAVE AN IPT GREATER 2629 01:46:22,972 --> 01:46:23,806 -- IMPACT, BUT 2630 01:46:23,806 --> 01:46:25,208 I DON'T THINK IF THAT ANSWERS 2631 01:46:25,208 --> 01:46:26,142 YOUR QUESTION BUT IT'S AN 2632 01:46:26,142 --> 01:46:27,443 IMPORTANT ISSUE AND I THINK A 2633 01:46:27,443 --> 01:46:29,011 LOT OF THAT COMES DOWN TO REALLY 2634 01:46:29,011 --> 01:46:30,713 MAKING SURE WE HAVE THE RIGHT 2635 01:46:30,713 --> 01:46:33,116 DATA AND THAT WE HAVE YOU KNOW 2636 01:46:33,116 --> 01:46:37,754 RESPONSIBLE ACCESS TO IT. 2637 01:46:37,754 --> 01:46:39,388 >> GREAT. 2638 01:46:39,388 --> 01:46:40,389 THANK YOU. 2639 01:46:40,389 --> 01:46:45,661 >> ANYTHING ELSE FOR DR. MOONEY? 2640 01:46:45,661 --> 01:46:47,530 OKAY, HEARING, SEEING NO HANDS 2641 01:46:47,530 --> 01:46:49,165 RAISED, I WANT TO THANK YOU FOR 2642 01:46:49,165 --> 01:46:53,102 YOUR TIME, VERY THE VERY THOUGHT 2643 01:46:53,102 --> 01:46:53,603 PROVOKING PRESENTATION. 2644 01:46:53,603 --> 01:46:55,037 >> THANK YOU AND I'M SORRY I'M 2645 01:46:55,037 --> 01:46:55,972 NOT THERE IN PERSON. 2646 01:46:55,972 --> 01:46:57,607 >> THANK YOU VERY MUCH FOR 2647 01:46:57,607 --> 01:46:58,407 JOINING US. 2648 01:46:58,407 --> 01:47:02,211 OKAY, SO AS WE CONTINUE ON OUR 2649 01:47:02,211 --> 01:47:03,446 NEXT PRESENTATION, I WILL GIVE 2650 01:47:03,446 --> 01:47:05,348 YOU AS WE'RE REQUIRED TO BRING 2651 01:47:05,348 --> 01:47:06,849 TO COUNCIL CONTINUING THE THEME 2652 01:47:06,849 --> 01:47:07,316 OF AI. 2653 01:47:07,316 --> 01:47:10,586 I WANT TO SHARE WITH YOU THE 2654 01:47:10,586 --> 01:47:14,090 INSTITUTE'S PLAN OF ESTABLISHING 2655 01:47:14,090 --> 01:47:16,058 AN AI WORKING GROUP, IF I CAN 2656 01:47:16,058 --> 01:47:25,234 HAVE THE SLIDES UP, PLEASE. 2657 01:47:25,234 --> 01:47:26,869 SO WELCOME YOUR FEEDBACK ON THE 2658 01:47:26,869 --> 01:47:30,406 PLANS THAT I WILL SHARE WITH YOU 2659 01:47:30,406 --> 01:47:33,576 ONCE I FINISH WITH THE 2660 01:47:33,576 --> 01:47:33,943 PRESENTATION. 2661 01:47:33,943 --> 01:47:36,813 SO WE'RE INTENDING TO ESTABLISH 2662 01:47:36,813 --> 01:47:38,447 AN ARTIFICIAL INTELIENCE WORKING 2663 01:47:38,447 --> 01:47:43,152 GROUP OF COUNCIL. 2664 01:47:43,152 --> 01:47:45,788 NEXT SLIDE. 2665 01:47:45,788 --> 01:47:48,524 SO AS YOU KNOW BIOMEDICAL 2666 01:47:48,524 --> 01:47:50,159 RESEARCH IS OBVIOUSLY 2667 01:47:50,159 --> 01:47:54,197 INCREASINGLY DATA INTENSIVE, THE 2668 01:47:54,197 --> 01:47:54,797 INSTITUTE HAS ESTABLISHED ITS 2669 01:47:54,797 --> 01:47:56,098 THAT WERE PROGRAMMED AND 2670 01:47:56,098 --> 01:47:57,600 RESOURCES AND TOOLS THAT PUT US 2671 01:47:57,600 --> 01:47:59,468 IN A SPACE THAT WE CAN -- WE 2672 01:47:59,468 --> 01:48:00,870 WOULD LIKE TO NOW LEVERAGE SOME 2673 01:48:00,870 --> 01:48:03,072 OF THIS, SO THAT WE CAN HARNESS 2674 01:48:03,072 --> 01:48:05,274 AND DEVELOP THE DATA SCIENCE 2675 01:48:05,274 --> 01:48:07,677 APPROACHES TO ANALYZE THIS DATA. 2676 01:48:07,677 --> 01:48:10,313 SO AS WE ARE MOVING FORWARD, 2677 01:48:10,313 --> 01:48:13,416 WHAT WE ARE PROPOSING IS TO 2678 01:48:13,416 --> 01:48:15,818 ESTABLISH THIS WORKING GROUP AND 2679 01:48:15,818 --> 01:48:17,420 SO INTERNALLY, IN PREPARING TO 2680 01:48:17,420 --> 01:48:20,156 ESTABLISH THE WORKING GROUP, 2681 01:48:20,156 --> 01:48:22,258 WE'VE ALSO LEVERAGED 2682 01:48:22,258 --> 01:48:23,559 DR. GOFF AND I HAVE LEVERAGED A 2683 01:48:23,559 --> 01:48:25,428 TEAM OF EXPERTS WITHIN THE 2684 01:48:25,428 --> 01:48:26,462 INSTITUTE INCLUDING THE 2685 01:48:26,462 --> 01:48:29,599 INTRAMURAL PROGRAM TO HELP US 2686 01:48:29,599 --> 01:48:31,000 BEGIN THINKING ABOUT THE CHARGE 2687 01:48:31,000 --> 01:48:32,134 FOR THIS WORKING GROUP. 2688 01:48:32,134 --> 01:48:34,036 SO WHAT I'M PRESENTING TO YOU 2689 01:48:34,036 --> 01:48:37,840 HERE IS THE PROPOSED CHARGE THAT 2690 01:48:37,840 --> 01:48:42,612 WAS DEVELOPED BY THE INTERNAL 2691 01:48:42,612 --> 01:48:43,179 STAFF OF EXPERTS. 2692 01:48:43,179 --> 01:48:45,381 SO WE WISH TO ESTABLISH, OUR 2693 01:48:45,381 --> 01:48:46,649 INSTITUTE ESTABLISH AI WORKING 2694 01:48:46,649 --> 01:48:49,252 GROUP OF THE ADVISORY COUNCIL TO 2695 01:48:49,252 --> 01:48:49,919 EFFECTIVELY AND EFFICIENTLY 2696 01:48:49,919 --> 01:48:52,521 CAPITALIZE ON AI AND ML, ADVANCE 2697 01:48:52,521 --> 01:48:54,323 THE INSTITUTE'S MISSION ALONG 2698 01:48:54,323 --> 01:48:56,859 WITH AGENCY PRIORITIES, TO DRIVE 2699 01:48:56,859 --> 01:48:58,694 RAPID AND SUSTAINABLE ADVANCES 2700 01:48:58,694 --> 01:49:00,930 IN HEART, LUNG, BLOOD AND SLEEP 2701 01:49:00,930 --> 01:49:02,331 RESEARCH HEALTH THE AI WORKING 2702 01:49:02,331 --> 01:49:04,066 GROUP CHARGE WE ARE ASKING THEY 2703 01:49:04,066 --> 01:49:07,036 WILL BECOME FAMILIAR WITH THE 2704 01:49:07,036 --> 01:49:08,905 INSTITUTE'S CURRENT PORTFOLIO IN 2705 01:49:08,905 --> 01:49:11,307 AI, IDENTIFY TIEWPTS FOR FUTURE 2706 01:49:11,307 --> 01:49:12,675 INVESTMENTS AND ENABLE 2707 01:49:12,675 --> 01:49:14,677 MAIPTINENCE OF AN EVERGREEN 2708 01:49:14,677 --> 01:49:16,746 PRIORITIZED LIST OF 2709 01:49:16,746 --> 01:49:18,381 RECOMMENDATIONS FOR STRATEGIC 2710 01:49:18,381 --> 01:49:21,050 INVESTMENTS, ADVISE US ON THE 2711 01:49:21,050 --> 01:49:23,219 IMPLEMENTATION STRATEGY TO 2712 01:49:23,219 --> 01:49:25,521 INSURE THAT NHLBI AI ENDEAVORS 2713 01:49:25,521 --> 01:49:27,857 ARE COORDINATED INTEGRATED AND 2714 01:49:27,857 --> 01:49:28,724 ALIGN WIDE INSTITUTE'S 2715 01:49:28,724 --> 01:49:29,025 PRIORITIES. 2716 01:49:29,025 --> 01:49:30,760 WE WERE ASKING IF THE WORKING 2717 01:49:30,760 --> 01:49:33,162 GROUP ONCE ESTABLISHED WOULD 2718 01:49:33,162 --> 01:49:35,331 OUTLINE A FRAMEWORK THE 2719 01:49:35,331 --> 01:49:36,599 INSTITUTE'S AVAILABILITY TO BE 2720 01:49:36,599 --> 01:49:39,335 ON THE VON GUARD OF SCIENTIFIC 2721 01:49:39,335 --> 01:49:40,336 LANDSCAPE WHILE AVOIDING 2722 01:49:40,336 --> 01:49:40,636 REDUNDANCY. 2723 01:49:40,636 --> 01:49:42,004 AS WE THINK ABOUT THIS ISSUES 2724 01:49:42,004 --> 01:49:44,106 THE MEMBERS WE ANTICIPATE THAT 2725 01:49:44,106 --> 01:49:47,610 THE MEMBERS SHALL CONVENE AND 2726 01:49:47,610 --> 01:49:50,046 DEVELOP A RAPID CYCLE BASIS FOR 2727 01:49:50,046 --> 01:49:51,247 THE ADVISORY COUNCIL AND WE WANT 2728 01:49:51,247 --> 01:49:54,116 TO EMPHASIZE THIS RAPID CYCLE 2729 01:49:54,116 --> 01:49:55,985 BECAUSE AGAIN AS DR. MOONEY 2730 01:49:55,985 --> 01:49:57,186 MENTIONED, THE TECHNOLOGY IS 2731 01:49:57,186 --> 01:49:58,154 DEVELOPING SO RAPIDLY WE WANT TO 2732 01:49:58,154 --> 01:49:59,221 MAKE SURE WE ARE THINK BEING 2733 01:49:59,221 --> 01:50:01,324 THIS AND BEING ABLE TO 2734 01:50:01,324 --> 01:50:01,991 CAPITALIZE ON SHORT-TERM 2735 01:50:01,991 --> 01:50:03,993 EMERGING BUT ALSO LOOK AUTOTHE 2736 01:50:03,993 --> 01:50:05,494 FOREFRONT BUT ALSO LOOKING FOR 2737 01:50:05,494 --> 01:50:07,263 LONG-TERM PLANNING AS WELL SO WE 2738 01:50:07,263 --> 01:50:08,464 WANT TO BE NIMBLE BUT WE ALSO 2739 01:50:08,464 --> 01:50:12,568 WANT TO PLAN FOR LONG-TERM. 2740 01:50:12,568 --> 01:50:15,237 AS WE THINK ABOUT THIS WORKING 2741 01:50:15,237 --> 01:50:18,874 GROUP AND THE EXPERTISE WE'RE 2742 01:50:18,874 --> 01:50:20,409 PROPOSING THIS SLIDE IS SHARING 2743 01:50:20,409 --> 01:50:24,046 WITH YOU BROAD LEVELS FOR TYPES 2744 01:50:24,046 --> 01:50:26,015 OF EXPERTISE, BOTH SCIENTIST AND 2745 01:50:26,015 --> 01:50:26,949 NONSCIENTIFIC EXPERTS WE WOULD 2746 01:50:26,949 --> 01:50:29,018 LIKE TO ENGAGE WITHIN THIS 2747 01:50:29,018 --> 01:50:31,754 PERSPECTIVE OF THE WORKING 2748 01:50:31,754 --> 01:50:32,822 GROUP. 2749 01:50:32,822 --> 01:50:36,492 SO OF COURSE AI ML APPLICATIONS 2750 01:50:36,492 --> 01:50:39,729 BEYOND THAT WE'RE LOOKING AT 2751 01:50:39,729 --> 01:50:41,097 SYSTEMS BIOLOGY, EXPERTISE, 2752 01:50:41,097 --> 01:50:46,769 CLINICAL TO INCLUE EHR, AND 2753 01:50:46,769 --> 01:50:50,573 IMAGING, EPISOME -- EXPOSOME, 2754 01:50:50,573 --> 01:50:53,976 EXCUSE ME, HEART AND LUNG BLOOD 2755 01:50:53,976 --> 01:50:55,177 INVESTIGATORS EXTRAMURAL AND 2756 01:50:55,177 --> 01:50:57,380 INTRAMURAL AND PRACTITIONERS AND 2757 01:50:57,380 --> 01:50:58,781 AS DR. MOONEY MENTIONED WE'RE 2758 01:50:58,781 --> 01:50:59,815 TALKING ABOUT COMMUNITY, NOT 2759 01:50:59,815 --> 01:51:01,550 ONLY THE RESEARCH COMMUNITY BUT 2760 01:51:01,550 --> 01:51:03,819 THE BROADER COMMUNITY OF 2761 01:51:03,819 --> 01:51:05,521 INDIVIDUALS BROADLY ACROSS THE 2762 01:51:05,521 --> 01:51:07,423 NATION THAT WOULD BE IMPACTED 2763 01:51:07,423 --> 01:51:11,460 AND MAY LEVERAGE SOME OF THESE 2764 01:51:11,460 --> 01:51:13,662 TOOLS, WE'RE ALSO LOOKING FOR 2765 01:51:13,662 --> 01:51:15,364 THOSE IN THOSE EXPERTISE IN THE 2766 01:51:15,364 --> 01:51:16,298 RESPONSIBILITY USE SO THINK 2767 01:51:16,298 --> 01:51:19,168 ABOUT THE ETHICAL USE OF AI ML 2768 01:51:19,168 --> 01:51:29,078 AND ALSO EXPERTS BEYOND 2769 01:51:29,078 --> 01:51:31,580 BIOMEDICINE. 2770 01:51:31,580 --> 01:51:32,548 IT'S NOT ADVANCING. 2771 01:51:32,548 --> 01:51:33,649 GO BACK, 1 SLIDE. 2772 01:51:33,649 --> 01:51:34,784 OKAY. 2773 01:51:34,784 --> 01:51:37,553 SO WHAT WE'RE PROPOSING IS AN 2774 01:51:37,553 --> 01:51:38,154 ITERATIVE PROCESS. 2775 01:51:38,154 --> 01:51:40,356 SO IN THE FIRST YEAR WE WOULD 2776 01:51:40,356 --> 01:51:42,958 ESTABLISH THE WORKING GROUP AND 2777 01:51:42,958 --> 01:51:45,227 WE PROPOSE A WORKSHOP AND THE 2778 01:51:45,227 --> 01:51:47,563 IDEA HAVING A WORKSHOP IS TO 2779 01:51:47,563 --> 01:51:48,931 EMPHASIZE THE DEVELOPMENT AND 2780 01:51:48,931 --> 01:51:50,566 EXECUTION OF THE PROGRAM, AND WE 2781 01:51:50,566 --> 01:51:53,202 ANTICIPATE THAT WE WOULD PROVIDE 2782 01:51:53,202 --> 01:51:56,439 THE WORKING GROUP MEMBERS AN 2783 01:51:56,439 --> 01:51:58,441 OVERVIEW OF THE SCIENTIFIC 2784 01:51:58,441 --> 01:51:59,675 PORTFOLIO, LARGE COHORT PROGRAMS 2785 01:51:59,675 --> 01:52:03,779 FOR EXAMPLE, TOP MED, BDC, ET 2786 01:52:03,779 --> 01:52:05,514 CETERA, HEART LUNG PROGRAMS 2787 01:52:05,514 --> 01:52:06,649 TARGETED AI MACHINE LEARNING 2788 01:52:06,649 --> 01:52:07,516 APPLICATIONS AND THEN WE WILL 2789 01:52:07,516 --> 01:52:09,318 ASK THEM IN THIS WORKSHOP TO 2790 01:52:09,318 --> 01:52:13,155 DISCUSS THE COVAGE OF OUR 2791 01:52:13,155 --> 01:52:14,757 PORTFOLIO, AND IRS DENTIFY GAP 2792 01:52:14,757 --> 01:52:16,025 AREAS AND ALSO ANTICIPATE THAT 2793 01:52:16,025 --> 01:52:20,463 THEY WILL ALSO PROVIDE GENERAL 2794 01:52:20,463 --> 01:52:21,297 RECOMMENDATIONS REGARDING OUR 2795 01:52:21,297 --> 01:52:22,364 APPROACH GOING FORWARD AND 2796 01:52:22,364 --> 01:52:26,202 PROVIDE A FRAMEWORK FOR IMPROVED 2797 01:52:26,202 --> 01:52:28,270 COORDINATION OF OVERALL AI/ML 2798 01:52:28,270 --> 01:52:29,004 PROGRAMS AND EFFICIENCIES. 2799 01:52:29,004 --> 01:52:30,106 SO THAT'S WHAT WE'RE 2800 01:52:30,106 --> 01:52:31,040 ANTICIPATING AT YEAR 1. 2801 01:52:31,040 --> 01:52:33,342 AND AS WE ESTABLISH THIS WORKING 2802 01:52:33,342 --> 01:52:34,610 GROUP, WE IMAGINE WE WOULD HAVE 2803 01:52:34,610 --> 01:52:35,945 A CORE OF WORKING GROUP MEMBERS 2804 01:52:35,945 --> 01:52:38,047 OF THE COUNCIL, BUT WE WILL 2805 01:52:38,047 --> 01:52:40,950 LEVERAGE EXPERTISE AS WE GO INTO 2806 01:52:40,950 --> 01:52:42,751 SUBSEQUENT YEARS, OF THE 2807 01:52:42,751 --> 01:52:46,222 ACTIVITIES, NEXT SLIDE. 2808 01:52:46,222 --> 01:52:49,325 LET'S SEE, SO WE LOOK AT YEAR 2 2809 01:52:49,325 --> 01:52:49,892 AND BEYOND. 2810 01:52:49,892 --> 01:52:51,227 AGAIN, WE WILL CONTINUE TO LOOK 2811 01:52:51,227 --> 01:52:54,363 AT KNOWN GAP AREAS AS WELL AS 2812 01:52:54,363 --> 01:52:56,332 EMERGING RESEARCH AND WORKFORCE 2813 01:52:56,332 --> 01:52:57,600 OPPORTUNITIES, WE WANT TO 2814 01:52:57,600 --> 01:52:59,235 LEVERAGE THESE PLATFORMS AND 2815 01:52:59,235 --> 01:53:00,269 SUBJECT MATTER EXPERTS, SO 2816 01:53:00,269 --> 01:53:01,704 AGAIN, WE WANT TO MAKE SURE 2817 01:53:01,704 --> 01:53:03,072 WE'RE NIMBLE AND THINKING ABOUT 2818 01:53:03,072 --> 01:53:05,040 THIS NOT AS 1 AND DONE BUT AS WE 2819 01:53:05,040 --> 01:53:07,009 WERE ABLE TO PIVOT AND LIVEERAGE 2820 01:53:07,009 --> 01:53:08,944 AND WE'RE ABLE TO FORECAST WHERE 2821 01:53:08,944 --> 01:53:10,246 WE MIGHT NEED TO GO, AND WE 2822 01:53:10,246 --> 01:53:12,081 WOULD LIKE TO HAVE THE WORKING 2823 01:53:12,081 --> 01:53:14,884 GROUP AS WE MOVE FORWARD 2824 01:53:14,884 --> 01:53:15,918 RECOMMEND ENHANCEMENTS AS WE GO 2825 01:53:15,918 --> 01:53:18,220 ALONG, SO WE MIGHT HAVE A BROAD 2826 01:53:18,220 --> 01:53:19,522 LIST OF ECMENDATIONS, SAY THAT 2827 01:53:19,522 --> 01:53:21,056 WOULD RESULT FROM THE FIRST 2828 01:53:21,056 --> 01:53:21,991 YEAR'S WORKSHOP, BUT WE WANT TO 2829 01:53:21,991 --> 01:53:24,627 MAKE SURE THAT WE ARE MAYBE 2830 01:53:24,627 --> 01:53:28,063 TARGETING AND MAYBE IN PARALLEL, 2831 01:53:28,063 --> 01:53:29,899 MAYBE IN SEQUENCE, DEPENDS ON 2832 01:53:29,899 --> 01:53:30,866 WHAT WE LEARN FROM THE WORKING 2833 01:53:30,866 --> 01:53:32,168 GROUP WE WANT TO MAKE SURE WE 2834 01:53:32,168 --> 01:53:33,569 DRILL DOWN ON TARGET AREAS WHILE 2835 01:53:33,569 --> 01:53:35,004 AT THE SAME TIME THINKING MORE 2836 01:53:35,004 --> 01:53:35,838 BROADLY AS WELL, SO WE WOULD 2837 01:53:35,838 --> 01:53:37,740 LIKE TO HAVE THE ABILITY TO 2838 01:53:37,740 --> 01:53:38,908 ADJUST AND BE NIMBLE AND AGAIN, 2839 01:53:38,908 --> 01:53:41,210 WE WANT TO MAKE SMUR WE HAVE 2840 01:53:41,210 --> 01:53:46,715 SHORT, MEDIUM AND LONG-TERM 2841 01:53:46,715 --> 01:53:47,016 APPROACHES. 2842 01:53:47,016 --> 01:53:47,683 SOPHISTICATED WITH THAT I WOULD 2843 01:53:47,683 --> 01:53:49,318 LIKE TO STOP AND THEN ASK THE 2844 01:53:49,318 --> 01:53:50,920 COUNCIL MEMBERS IF HAVE YOU ANY 2845 01:53:50,920 --> 01:53:53,489 QUESTIONS OR ANY COMMENTS OR 2846 01:53:53,489 --> 01:54:03,933 CONCERNS AROUND WHAT WE'RE 2847 01:54:06,235 --> 01:54:06,702 PROPOSING? 2848 01:54:06,702 --> 01:54:07,102 >> DR. REDLINE? 2849 01:54:07,102 --> 01:54:08,070 >> JUST A QUICK QUESTION, I 2850 01:54:08,070 --> 01:54:09,672 THINK THIS WAS NICELY SUMMARIZED 2851 01:54:09,672 --> 01:54:12,141 AND LOOKS LIKE A WONDERFUL WAY 2852 01:54:12,141 --> 01:54:12,841 FORWARD. 2853 01:54:12,841 --> 01:54:14,476 I CENTERED ON AMONG THE AREAS OF 2854 01:54:14,476 --> 01:54:17,846 FOCUS FOR AI AND ML, WHERE AREAS 2855 01:54:17,846 --> 01:54:21,283 LIKE IMAGING BUT GIVEN THE HAD 2856 01:54:21,283 --> 01:54:23,552 NHLBI'S MISSION, I WOULD ALSO 2857 01:54:23,552 --> 01:54:28,123 CALL OUT, BASICALLY AI ML FOR 2858 01:54:28,123 --> 01:54:28,724 PHYSIOLOGIC SIGNAL ANALYSIS. 2859 01:54:28,724 --> 01:54:32,061 I KNOW I SEE IN OUR REPOSITORY 2860 01:54:32,061 --> 01:54:33,896 REALLY DOZENS OF PEOPLE WORLD 2861 01:54:33,896 --> 01:54:37,766 WIDE NOW TAKING ADVANTAGE OF THE 2862 01:54:37,766 --> 01:54:40,736 -- YOU KNOW COMPLEX DYNAMIC 2863 01:54:40,736 --> 01:54:42,104 INFORMATION WHETHER IT'S TIME 2864 01:54:42,104 --> 01:54:44,073 SERIES DATA, WHETHER IT'S FROM 2865 01:54:44,073 --> 01:54:46,375 AN ECG OR TRACING OR OVERNIGHT 2866 01:54:46,375 --> 01:54:49,345 SLEEP STUDY THAT'S REALLY 2867 01:54:49,345 --> 01:54:50,279 BEGINNING TO REVOLUTIONIZE 2868 01:54:50,279 --> 01:54:53,916 REALLY EVEN HOW WE DIAGNOSE 2869 01:54:53,916 --> 01:54:54,717 SLEEP DISORDERS, CIRCADIAN 2870 01:54:54,717 --> 01:54:57,786 RHYTHM PROBLEMS AND THEN PREDICT 2871 01:54:57,786 --> 01:54:58,287 CARDIOVASCULAR OUTCOMES. 2872 01:54:58,287 --> 01:55:05,327 >> THANK YOU VERY MUCH FOR THAT 2873 01:55:05,327 --> 01:55:05,694 RECOMMENDATION. 2874 01:55:05,694 --> 01:55:11,600 ANYONE ELSE HAVE ANY THOUGHTS? 2875 01:55:11,600 --> 01:55:11,834 HERE? 2876 01:55:11,834 --> 01:55:13,569 >> HOPE YOU'LL GIVE US 2877 01:55:13,569 --> 01:55:15,170 SUGGESTIONS LIKE SUSAN JUST DID 2878 01:55:15,170 --> 01:55:18,707 AND BE SURE THAT WHAT'S MISSING, 2879 01:55:18,707 --> 01:55:21,343 SO LESS ABOUT CONCERNS MORE WHAT 2880 01:55:21,343 --> 01:55:24,313 ARE YOUR INPUTS AND SUGGESTIONS 2881 01:55:24,313 --> 01:55:26,482 AND THINGS WE MAY NOT HAVE 2882 01:55:26,482 --> 01:55:28,517 THOUGHT OF. 2883 01:55:28,517 --> 01:55:28,717 OVER. 2884 01:55:28,717 --> 01:55:30,352 >> THANK YOU FOR THAT, YES, SO 2885 01:55:30,352 --> 01:55:32,988 YES, ANYTHING THAT YOU THINK 2886 01:55:32,988 --> 01:55:34,256 THAT WE SHOULD INCORPORATE OR AT 2887 01:55:34,256 --> 01:55:37,393 LEAST CONSIDER AS WE'RE MOVING 2888 01:55:37,393 --> 01:55:37,726 FORWARD. 2889 01:55:37,726 --> 01:55:39,328 OR ANY CONCERNS WITH MOVING 2890 01:55:39,328 --> 01:55:41,497 FORWARD, BUT I HEAR THAT THEIR 2891 01:55:41,497 --> 01:55:42,598 SEEMS TO BE ENTHUSIASM BUT WE 2892 01:55:42,598 --> 01:55:44,767 WANT TO MAKE SURE THAT WE'RE AT 2893 01:55:44,767 --> 01:55:46,201 THE OUTSET, WE'RE STARTING OFF 2894 01:55:46,201 --> 01:55:48,971 WITH THE BROADEST PERSPECTIVE ON 2895 01:55:48,971 --> 01:55:56,945 WHAT WE'RE TRYING TO ACCOMPLISH. 2896 01:55:56,945 --> 01:56:00,549 >> DR. STEIN? 2897 01:56:00,549 --> 01:56:03,786 >> YOU'RE MUTED. 2898 01:56:03,786 --> 01:56:04,553 >> THANK YOU. 2899 01:56:04,553 --> 01:56:07,690 SO THIS SEEMS TO BE MUCH MORE 2900 01:56:07,690 --> 01:56:09,258 EXTERNALLY FOCUSED AND MOVING 2901 01:56:09,258 --> 01:56:10,659 THE SCIENCE FORWARD, I'M 2902 01:56:10,659 --> 01:56:12,861 WONDERING IS ANY PART OF THIS 2903 01:56:12,861 --> 01:56:15,164 ALSO LOOKING AT INTERNALLY WE DO 2904 01:56:15,164 --> 01:56:20,536 SEE THE ADMINISTRATIVE WORK LOAD 2905 01:56:20,536 --> 01:56:22,538 FOR EITHER PIs OR THE NIH WORK 2906 01:56:22,538 --> 01:56:26,942 FLOW AS PART OF THIS MANDATE? 2907 01:56:26,942 --> 01:56:29,478 >> WELL I THINK INTERNALLY OUR 2908 01:56:29,478 --> 01:56:30,446 INTERNAL GROUP IS LOOKING AT 2909 01:56:30,446 --> 01:56:32,548 THAT, WE HAVE AN INTERNAL FACING 2910 01:56:32,548 --> 01:56:33,849 DISCUSSING HOW WE SHOULD MOVE 2911 01:56:33,849 --> 01:56:35,351 FORWARD AND LOOKING INTERNALLY, 2912 01:56:35,351 --> 01:56:36,852 BUT WE'RE LOOKING THIS GROUP 2913 01:56:36,852 --> 01:56:37,619 WOULD REALLY BE ESTABLISHED I 2914 01:56:37,619 --> 01:56:41,256 THINK MORE IN TERMINGS OF 2915 01:56:41,256 --> 01:56:42,725 EXTERNALLY FACING, OUTWARD 2916 01:56:42,725 --> 01:56:44,626 FACING IN TERMS OF WHERE WE NEED 2917 01:56:44,626 --> 01:56:47,463 TO GO WITH THE RESEARCH, WE'RE 2918 01:56:47,463 --> 01:56:49,498 TRYING TO COVER BOTH AND NOT 2919 01:56:49,498 --> 01:56:52,167 EITHER OR. 2920 01:56:52,167 --> 01:56:53,736 YES, LET'S SEE, DOCTOR? 2921 01:56:53,736 --> 01:56:56,939 >> YOU WANT TO COMMENT? 2922 01:56:56,939 --> 01:56:59,408 >> SO EXCELLENT POINT, JUST TO 2923 01:56:59,408 --> 01:57:01,477 EMBELLISH ON THERESA'S ANSWER, 2924 01:57:01,477 --> 01:57:04,313 THERE MIGHT HAVE BEEN A HINT OF 2925 01:57:04,313 --> 01:57:07,416 THAT IN SEAN'S COMMENTS THAT 2926 01:57:07,416 --> 01:57:10,386 OBVIOUSLY FROM AN NHLBI 2927 01:57:10,386 --> 01:57:13,288 STANDPOINT ANY APPROACH TO THOSE 2928 01:57:13,288 --> 01:57:17,359 KIND OF OPERATIONAL 2929 01:57:17,359 --> 01:57:18,227 ADMINISTRATIVE APPLICATIONS OF 2930 01:57:18,227 --> 01:57:21,063 AI, WE WOULD WANT TO DO AS AN 2931 01:57:21,063 --> 01:57:23,665 NIH ENTERPRISE, NOT AS AN NHLBI 2932 01:57:23,665 --> 01:57:27,436 SPECIFIC 1 AND AS HE KIND OF 2933 01:57:27,436 --> 01:57:31,073 ALLUDED TO THOSE EFFORTS ARE 2934 01:57:31,073 --> 01:57:31,340 HAPPENING. 2935 01:57:31,340 --> 01:57:33,742 THERE ARE A LOT OF THINGS THAT 2936 01:57:33,742 --> 01:57:35,911 ARE BEING CONTEMPLATED AND YOU 2937 01:57:35,911 --> 01:57:37,012 SAW HIM HESITATE, BUT OBVIOUSLY 2938 01:57:37,012 --> 01:57:40,315 THERE ARE THINGS THAT ARE BEING 2939 01:57:40,315 --> 01:57:43,285 PILOTED INTERNALLY, BUT THE HOPE 2940 01:57:43,285 --> 01:57:44,853 AND ANTICIPATION WOULD BE WE 2941 01:57:44,853 --> 01:57:47,856 WOULD BE CREATING CLOUD BASED 2942 01:57:47,856 --> 01:57:49,358 RESOURCES ACCESSIBLE BY THE 2943 01:57:49,358 --> 01:57:50,492 EXTRAMURAL COMMUNITY THAT COULD 2944 01:57:50,492 --> 01:57:53,061 LEVERAGE THAT WITH ALL THOSE 2945 01:57:53,061 --> 01:57:56,932 ISSUES OF STANDARDS, ETHICS, 2946 01:57:56,932 --> 01:58:00,068 RESPONSIBILITY, SECURITY, 2947 01:58:00,068 --> 01:58:01,103 LEAKINESS, AND SO, THOSE 2948 01:58:01,103 --> 01:58:06,175 THOUGHTS AND HOW TO DO THAT ARE 2949 01:58:06,175 --> 01:58:06,642 ACTIVELY UNDERWAY. 2950 01:58:06,642 --> 01:58:08,977 HE KIND OF KEPT IT VERY MODEST 2951 01:58:08,977 --> 01:58:10,813 IN TERMS OF WHAT'S ACTUALLY 2952 01:58:10,813 --> 01:58:12,915 ALREADY BEEN LAUNCHED BUT YOU 2953 01:58:12,915 --> 01:58:14,516 CAN SEE THE TRAJECTORY AND TO 2954 01:58:14,516 --> 01:58:16,585 YOUR POINT, THOSE THINGS WOULD 2955 01:58:16,585 --> 01:58:18,120 BE IMPORTANT, RIGHT IF WE'RE 2956 01:58:18,120 --> 01:58:21,290 HAVING A STANDARDIZED WAY OF 2957 01:58:21,290 --> 01:58:22,257 EVALUATING THE REVIEW OR PLANS, 2958 01:58:22,257 --> 01:58:24,026 YOU WANT TO DO THAT IN A 2959 01:58:24,026 --> 01:58:25,661 CONSISTENT WAY AND KEEP 2960 01:58:25,661 --> 01:58:28,063 VALIDATING THAT IT'S WORKING. 2961 01:58:28,063 --> 01:58:29,731 SO, INDEED, YOU KNOW SOME OF 2962 01:58:29,731 --> 01:58:32,034 THOSE THINGS ARE BEING PILOTED 2963 01:58:32,034 --> 01:58:35,571 FOR CSR AS WE SPEAK, SO YES, 2964 01:58:35,571 --> 01:58:37,406 THIS IS BEING TESTED AND PILOTED 2965 01:58:37,406 --> 01:58:40,342 IN A WAY THAT COULD AFFECT THE 2966 01:58:40,342 --> 01:58:41,143 EXTRAMURAL COMMUNITY LEVERAGING 2967 01:58:41,143 --> 01:58:42,578 THE TOOLS AND TECHNOLOGIES AND 2968 01:58:42,578 --> 01:58:45,447 HOPEFULLY THIS WAYS THAT MIGHT 2969 01:58:45,447 --> 01:58:47,216 STREAMLINE THE PROCESSES 2970 01:58:47,216 --> 01:58:48,750 OPERATIONALLY FOR EVERYBODY IN 2971 01:58:48,750 --> 01:58:56,458 THE ECOSYSTEM, I HOPE THAT 2972 01:58:56,458 --> 01:58:56,658 HELPS. 2973 01:58:56,658 --> 01:58:57,125 >> ANOTHER HAND UP? 2974 01:58:57,125 --> 01:58:58,527 >> I THINK I HAD -- I DON'T KNOW 2975 01:58:58,527 --> 01:58:59,728 BUT I THINK THAT ADDRESSED A LOT 2976 01:58:59,728 --> 01:59:03,398 OF WHAT I WAS THINKING. 2977 01:59:03,398 --> 01:59:05,100 A LOT OF WHAT I WAS THINKING BUT 2978 01:59:05,100 --> 01:59:07,402 I THINK THIS WAS HINTED AT BUT 2979 01:59:07,402 --> 01:59:08,937 YOU KNOW I AM TRYING TO MAKE 2980 01:59:08,937 --> 01:59:10,606 SURE THIS IS ALIGNED WITH 2981 01:59:10,606 --> 01:59:12,241 EVERYTHING ELSE THAT'S HAPPENING 2982 01:59:12,241 --> 01:59:12,808 AT THE NIH. 2983 01:59:12,808 --> 01:59:14,977 WE ALWAYS HATE TO SEE THIS THING 2984 01:59:14,977 --> 01:59:16,512 WHERE EVERY IC IS DOING 2985 01:59:16,512 --> 01:59:19,648 SOMETHING DIFFERENTLY AND THAT 2986 01:59:19,648 --> 01:59:21,250 ALIGNMENT AND INITIATIVES I 2987 01:59:21,250 --> 01:59:23,819 THINK WILL BE REALLY HELPFUL BUT 2988 01:59:23,819 --> 01:59:26,088 OVERALL, AGAIN, VERY HAPPY TO 2989 01:59:26,088 --> 01:59:27,222 SEE THIS, SOMETHING VERY 2990 01:59:27,222 --> 01:59:28,423 IMPORTANT TO DO THIS, ANYTHING 2991 01:59:28,423 --> 01:59:30,459 THIS CAN BE DONE TO IMPROVE 2992 01:59:30,459 --> 01:59:33,595 EFFICIENCY IS REALLY GREAT. 2993 01:59:33,595 --> 01:59:34,429 SO CONGRATS. 2994 01:59:34,429 --> 01:59:35,163 GREAT JOB. 2995 01:59:35,163 --> 01:59:36,198 >> THANK YOU. 2996 01:59:36,198 --> 01:59:37,833 AGAIN, 1 OF MY POINTS ON THE 2997 01:59:37,833 --> 01:59:42,170 SLIDE WAS TO AVOID REDUNDANT, WE 2998 01:59:42,170 --> 01:59:44,273 ARE PAYING ATTENTION TO WHAT'S 2999 01:59:44,273 --> 01:59:45,974 HAPPENING AGENCY WIDE, ACB, 3000 01:59:45,974 --> 01:59:47,442 WORKING GROUP, ET CETERA. 3001 01:59:47,442 --> 01:59:48,810 SO THANK YOU. 3002 01:59:48,810 --> 01:59:49,111 >> DOCTOR? 3003 01:59:49,111 --> 01:59:50,979 >> I DON'T KNOW IF IT'S WITHIN 3004 01:59:50,979 --> 01:59:54,750 SCOPE BUT THINKING ABOUT HOW TO 3005 01:59:54,750 --> 01:59:55,884 EFFECTIVELY COMMUNICATE SCIENCE 3006 01:59:55,884 --> 01:59:57,486 AND SCIENTIFIC FINDINGS TO OUR 3007 01:59:57,486 --> 01:59:59,221 DIVERSE U.S. AUDIENCE OF 3008 01:59:59,221 --> 02:00:02,558 TAXPAYERS WHO SUPPORT OUR 3009 02:00:02,558 --> 02:00:06,895 RESEARCH UTILIZING AI, COULD BE 3010 02:00:06,895 --> 02:00:09,831 REALLY VERY INSTRUMENTAL AS 3011 02:00:09,831 --> 02:00:14,002 WELL. 3012 02:00:14,002 --> 02:00:14,636 >> AGAIN, ANOTHER GREAT POINT 3013 02:00:14,636 --> 02:00:15,504 AND 1 OF THE THINGS THAT MEEOF 3014 02:00:15,504 --> 02:00:18,040 THE OF YOU INTUITIVELY KNOW, BUT 3015 02:00:18,040 --> 02:00:21,109 IN TERMS OF VISITS TO THE NHLBI 3016 02:00:21,109 --> 02:00:23,912 WEBSITES IT'S ACTUALLY NOT FOR 3017 02:00:23,912 --> 02:00:25,514 OUR NOFOs AND RESEARCH 3018 02:00:25,514 --> 02:00:27,549 OPPORTUNITIES IT'S FOR OUR 3019 02:00:27,549 --> 02:00:28,750 HEALTH TOPIC SECTION WHICH, YOU 3020 02:00:28,750 --> 02:00:31,286 KNOW THE GENERAL PUBLIC WANTS TO 3021 02:00:31,286 --> 02:00:34,656 KNOW, WHAT IS HIGH BLOOD 3022 02:00:34,656 --> 02:00:36,158 PRESSURE OR SOMEBODY DOCTOR JUST 3023 02:00:36,158 --> 02:00:40,829 TOLD ME I HAVE COPD, WHAT IS 3024 02:00:40,829 --> 02:00:41,029 THAT? 3025 02:00:41,029 --> 02:00:43,465 SO ACTUALLY 1 OF THE THINGS 3026 02:00:43,465 --> 02:00:45,634 BEING CONSIDERED IN TERMS OF 3027 02:00:45,634 --> 02:00:50,038 PILOTING AS YOU MIGHT IMAGINE IS 3028 02:00:50,038 --> 02:00:52,674 THOSE ARE THINGS THAT A SIRI 3029 02:00:52,674 --> 02:00:54,076 LIKE THING OR CONSIST ANT COULD 3030 02:00:54,076 --> 02:00:56,178 START TO ADD AND PROBABLY THAT'S 3031 02:00:56,178 --> 02:00:58,280 COMING TO AN EHR NEAR YOU AS 3032 02:00:58,280 --> 02:01:00,382 WELL, SO GETTING OUT IN FRONT OF 3033 02:01:00,382 --> 02:01:04,453 THIS, AND BEING SURE THAT IT'S 3034 02:01:04,453 --> 02:01:05,420 EVIDENCE BASED, SCIENTIFICALLY 3035 02:01:05,420 --> 02:01:07,522 BASED, A WAY TO BE VALIDATED, A 3036 02:01:07,522 --> 02:01:11,393 WAY TO BE SURE THAT THE ANSWERS 3037 02:01:11,393 --> 02:01:13,128 TO THOSE QUERIES, ARE NOT ONLY 3038 02:01:13,128 --> 02:01:16,632 ACCURATE BUT AS YOU KNOW, CAN 3039 02:01:16,632 --> 02:01:18,367 YOU CALIBRATE SOME OF THESE CHAT 3040 02:01:18,367 --> 02:01:23,472 BOTS TO THE LEVEL OF EDUCATION 3041 02:01:23,472 --> 02:01:25,907 PERHAPS. 3042 02:01:25,907 --> 02:01:32,247 I KNOW WE HAVE -- THERE MAY BE 3043 02:01:32,247 --> 02:01:33,181 NUANCANCES OF CULTURAL 3044 02:01:33,181 --> 02:01:33,815 SENSITIVITY OR APPROPRIATENESS 3045 02:01:33,815 --> 02:01:35,884 WHERE THERE MIGHT BE FURTHER 3046 02:01:35,884 --> 02:01:38,253 TAILORING NECESSARY TO CONVEY 3047 02:01:38,253 --> 02:01:40,889 THE RIGHT MEANING AND EVEN 3048 02:01:40,889 --> 02:01:43,659 ENGAGE IN DIALOGUE, SO I THINK 3049 02:01:43,659 --> 02:01:45,627 THERE ARE ELEMENTS WHERE THE 3050 02:01:45,627 --> 02:01:48,030 TAILORING AND CUSTOMIZATION AND 3051 02:01:48,030 --> 02:01:50,065 INSURING AGAIN, RESPONSIBLE AI 3052 02:01:50,065 --> 02:01:53,735 IS BEING PURSUED, STARTS TO GET 3053 02:01:53,735 --> 02:01:55,137 INTERWOVEN TO ALMOST EVERYTHING 3054 02:01:55,137 --> 02:01:57,839 WE DO, AND IT'S POTENTIALLY 3055 02:01:57,839 --> 02:01:59,441 EVERYWHERE AND INSURING THAT 3056 02:01:59,441 --> 02:02:04,079 IT'S -- AGAIN ALIGN WIDE OUR 3057 02:02:04,079 --> 02:02:05,914 VALUES AND OUR PARTICULAR 3058 02:02:05,914 --> 02:02:08,884 PRINCIPLES, I THINK WILL BE 3059 02:02:08,884 --> 02:02:09,951 IMPORTANT AND THAT'S ASPECT WE 3060 02:02:09,951 --> 02:02:12,254 HAVE TO DO AS A COMMUNITY. 3061 02:02:12,254 --> 02:02:13,455 SO THAT'S WHY WE FEEL IT'S 3062 02:02:13,455 --> 02:02:14,956 IMPORTANT TO HAVE A COUNCIL 3063 02:02:14,956 --> 02:02:16,658 WORKING GROUP BECAUSE THESE ARE 3064 02:02:16,658 --> 02:02:18,727 COMPLEX QUESTIONS AND IT GOES 3065 02:02:18,727 --> 02:02:19,661 THROUGHOUT OUR MISSION AND I 3066 02:02:19,661 --> 02:02:22,631 THINK IT'S SOMETHING WE HAVE TO 3067 02:02:22,631 --> 02:02:25,467 BE VIGILANT ADAPTIVE AND NIMBLE 3068 02:02:25,467 --> 02:02:27,202 ABOUT CERTAINLY OVER THIS NEXT 3069 02:02:27,202 --> 02:02:30,572 FEW YEARS AS TECHNOLOGY REALLY 3070 02:02:30,572 --> 02:02:33,575 JUST EXPLODES INTO OUR SPACES 3071 02:02:33,575 --> 02:02:34,776 AND AFFECTS EVERYTHING. 3072 02:02:34,776 --> 02:02:43,452 SO APPRECIATE THAT COMMENT, 3073 02:02:43,452 --> 02:02:43,685 OVER. 3074 02:02:43,685 --> 02:02:46,121 >> ANY ADDITIONAL THOUGHTS ON 3075 02:02:46,121 --> 02:02:50,459 THIS WORKING GROUP. 3076 02:02:50,459 --> 02:02:52,461 SO IF NO OTHER COMMENTS DO WE 3077 02:02:52,461 --> 02:02:53,862 HAVE CONCURRENCE TO MOVE FORWARD 3078 02:02:53,862 --> 02:02:55,330 WITH THE COUNCIL, WE HAVE A 3079 02:02:55,330 --> 02:02:59,201 MOTION TO MOVE FORWARD? 3080 02:02:59,201 --> 02:03:00,936 >> SO MOVE. 3081 02:03:00,936 --> 02:03:01,737 >> SECOND. 3082 02:03:01,737 --> 02:03:02,804 >> OKAY. 3083 02:03:02,804 --> 02:03:05,073 ALL APPROVE? 3084 02:03:05,073 --> 02:03:06,742 >> AYE. 3085 02:03:06,742 --> 02:03:07,442 >> AYE. 3086 02:03:07,442 --> 02:03:10,712 >> AYE. 3087 02:03:10,712 --> 02:03:12,314 >> AYE. 3088 02:03:12,314 --> 02:03:14,182 >> AI. 3089 02:03:14,182 --> 02:03:14,549 >> [LAUGHTER] 3090 02:03:14,549 --> 02:03:15,183 >> ANY OPPOSE? 3091 02:03:15,183 --> 02:03:18,386 >> NICE PICK ME UP AFTER LUNCH? 3092 02:03:18,386 --> 02:03:20,122 ANY OPPOSE? 3093 02:03:20,122 --> 02:03:21,156 ANY ABSTENTIONS? 3094 02:03:21,156 --> 02:03:21,356 OKAY. 3095 02:03:21,356 --> 02:03:24,793 THANK YOU VERY MUCH FOR YOUR 3096 02:03:24,793 --> 02:03:26,228 FEEDBACK. 3097 02:03:26,228 --> 02:03:29,397 NOW MOVING TO THE FINAL STAGE OF 3098 02:03:29,397 --> 02:03:31,566 THE OPEN SESSION WHERE I WILL 3099 02:03:31,566 --> 02:03:32,934 COVER THE DELEGATED AUTHORITIES 3100 02:03:32,934 --> 02:03:36,138 WHICH WE COVER ANNUALLY WITH THE 3101 02:03:36,138 --> 02:03:37,105 COUNCIL MEMBERS. 3102 02:03:37,105 --> 02:03:47,449 WE HAVE THE SLIDE. 3103 02:03:57,459 --> 02:03:57,859 OKAY. 3104 02:03:57,859 --> 02:04:01,029 SO AN ANNUAL BASES WE REVIEW THE 3105 02:04:01,029 --> 02:04:02,564 DELEGATED AUTHORITIES OF NHLBI 3106 02:04:02,564 --> 02:04:04,299 WITH THE SUMMARY OF COUNCIL. 3107 02:04:04,299 --> 02:04:05,333 THE SUMMARY OF THOSE AUTHORITIES 3108 02:04:05,333 --> 02:04:07,969 ARE HERE, WHAT WE ARE PRESENTING 3109 02:04:07,969 --> 02:04:09,271 BEFORE YOU HAVE NOT CHANGED 3110 02:04:09,271 --> 02:04:11,907 SINCE LAST YEAR, WE WANT TO 3111 02:04:11,907 --> 02:04:14,576 AGAIN AS LISTED HERE THE ITEMS 3112 02:04:14,576 --> 02:04:17,946 ARE TO TAKE ADMINISTRATIVE 3113 02:04:17,946 --> 02:04:19,147 ACTIONS, AS APPROPRIATE TO USE 3114 02:04:19,147 --> 02:04:19,948 SCIENTIFIC AND PROFESSIONAL 3115 02:04:19,948 --> 02:04:22,551 SERVICES OF NOT MORE THAN A 3116 02:04:22,551 --> 02:04:23,819 HUNDRED SPECIAL EXPERTS 3117 02:04:23,819 --> 02:04:27,722 APPOINTED BY THE DIRECTOR, 3118 02:04:27,722 --> 02:04:30,158 EXPEDITE COUNCIL CONCURRENCE 3119 02:04:30,158 --> 02:04:32,727 USING PROCEDURES OUTLINED IN BY 3120 02:04:32,727 --> 02:04:35,764 AUTHORITIES, PROGRAM PLANS AND 3121 02:04:35,764 --> 02:04:38,633 BLOCK ACTIONS, MAKE CERTAIN 3122 02:04:38,633 --> 02:04:40,235 ADMINISTRATIVE DECISIONS SUCH AS 3123 02:04:40,235 --> 02:04:41,870 SELECTION AND FUNDING AND 3124 02:04:41,870 --> 02:04:43,038 PETEING GRANT APPLICATIONS IN 3125 02:04:43,038 --> 02:04:46,908 THE EVENT OF A FEDDERALLY 3126 02:04:46,908 --> 02:04:48,043 DECLARED EMERGENCY, 3127 02:04:48,043 --> 02:04:50,011 DELATWALLEIGATIONS OF ECB IF 3128 02:04:50,011 --> 02:04:51,313 ENBLOCK PROCEDURES ARE NOT 3129 02:04:51,313 --> 02:04:51,746 EASIBLE. 3130 02:04:51,746 --> 02:04:54,749 THIS IS A HIGH LEVEL OVERVIEW, 3131 02:04:54,749 --> 02:04:56,084 WE HAVE RESOURCED DOCUMENTS BUT 3132 02:04:56,084 --> 02:04:58,386 WE ARE REQUIRED TO BRING THIS TO 3133 02:04:58,386 --> 02:05:00,222 YOUR ATTENTION EACH YEAR AND GET 3134 02:05:00,222 --> 02:05:03,358 YOUR CONCURRENCE THAT THESE ARE 3135 02:05:03,358 --> 02:05:04,893 NO CHANGES OR ANY CONCERNS YOU 3136 02:05:04,893 --> 02:05:07,662 HAVE WITH THE CURRENT DELICATED 3137 02:05:07,662 --> 02:05:10,432 AUTHORITIES TO THE NHLBI. 3138 02:05:10,432 --> 02:05:20,976 WE CAN STOP SHARING THE SLIDES. 3139 02:05:22,177 --> 02:05:26,314 DO WE HAVE ANY QUESTIONS OR 3140 02:05:26,314 --> 02:05:26,581 CONCERNS? 3141 02:05:26,581 --> 02:05:28,850 OKAY, HEARING AND SEEING NO 3142 02:05:28,850 --> 02:05:30,886 HANDS AND HEARING NO COMMENTS 3143 02:05:30,886 --> 02:05:32,187 THEN WE WILL MOVE FORWARD AND 3144 02:05:32,187 --> 02:05:34,489 CONTINUE WITH OUR CURRENT 3145 02:05:34,489 --> 02:05:35,357 DELEGATED AUTHORITIES UNCHANGED 3146 02:05:35,357 --> 02:05:35,891 FROM LAST YEAR. 3147 02:05:35,891 --> 02:05:38,660 THANK YOU AND THIS NOW CONCLUDES 3148 02:05:38,660 --> 02:05:39,861 THE OPEN SESSION OF COUNCIL SO I 3149 02:05:39,861 --> 02:05:43,365 WILL TURN IT OVER TO DR. GIBBONS 3150 02:05:43,365 --> 02:05:45,867 FOR ANY FINAL COMMENTS. 3151 02:05:45,867 --> 02:05:48,270 >> WELL, THANK YOU ALL AGAIN FOR 3152 02:05:48,270 --> 02:05:51,339 SHARING AND WORKING THROUGH THIS 3153 02:05:51,339 --> 02:05:52,440 VIRTUAL SESSION. 3154 02:05:52,440 --> 02:05:54,976 IT'S AN ATTEMPT AGAIN TO BE 3155 02:05:54,976 --> 02:05:57,913 EFFICIENT USERS OF YOUR TIME AND 3156 02:05:57,913 --> 02:06:00,649 HOPEFULLY THIS WAS AN EFFECTIVE 3157 02:06:00,649 --> 02:06:00,949 APPROACH. 3158 02:06:00,949 --> 02:06:04,719 WE ARE ALWAYS OPEN TO FEEDBACK. 3159 02:06:04,719 --> 02:06:07,389 WE APPRECIATED THE DIALOGUE, THE 3160 02:06:07,389 --> 02:06:09,090 INPUT WE RECEIVED AND INDEED 3161 02:06:09,090 --> 02:06:14,062 IT'S HAVING AN IMPORTANT SHAPING 3162 02:06:14,062 --> 02:06:16,798 AFFECT ON OUR PLANS, ALSO 3163 02:06:16,798 --> 02:06:17,832 APPRECIATE YOUR ENDORSEMENT OF 3164 02:06:17,832 --> 02:06:19,234 THE AI WORKING GROUP. 3165 02:06:19,234 --> 02:06:20,201 THIS IS AN IMPORTANT THING THAT 3166 02:06:20,201 --> 02:06:22,270 I THINK IN PARTICULAR, THE NEXT 3167 02:06:22,270 --> 02:06:24,940 COUPLE OF YEARS, WILL BE A VITAL 3168 02:06:24,940 --> 02:06:27,108 AND CENTRAL ELEMENT OF A LOT OF 3169 02:06:27,108 --> 02:06:28,176 OUR ACTIVITIES SO WE LOOK 3170 02:06:28,176 --> 02:06:30,011 FORWARD TO YOUR ACTIVE 3171 02:06:30,011 --> 02:06:35,317 ENGAGEMENT IN THAT AS WELL, AND 3172 02:06:35,317 --> 02:06:39,220 HOPEFULLY, YOU WILL ALSO 3173 02:06:39,220 --> 02:06:40,221 APPRECIATE THE COMMITMENT TO GET 3174 02:06:40,221 --> 02:06:45,260 US BACK TO DOING OUR MISSION AND 3175 02:06:45,260 --> 02:06:47,929 THE BUSINESS OF NIH AND SO, WE 3176 02:06:47,929 --> 02:06:49,965 WON'T BE CONTINUOUSLY 3177 02:06:49,965 --> 02:06:51,232 DISSTRACTED AND GET BACK TO FOLK 3178 02:06:51,232 --> 02:06:53,034 UING ON WHAT WE DO -- FOCUSING 3179 02:06:53,034 --> 02:06:55,170 ON WHAT WE ALL DO TOGETHER SO 3180 02:06:55,170 --> 02:06:56,338 THANK YOU AGAIN FOR YOUR 3181 02:06:56,338 --> 02:07:01,209 ATTENTION AND I WILL BRING THIS 3182 02:07:01,209 --> 02:07:03,845 310th MEETING TO ADJOURNMENT. 3183 02:07:03,845 --> 02:07:14,289 >> THANK YOU EVERYONE.