OUR FRIDAY LSTRC MEETING. HOPE
EVERYONE IS DOING WELL ON THIS
LOVELY FRIDAY MORNING. WE ARE
GOING TO START OFF TODAY WITH
OUR DIRECTOR'S UPDATE. DR. STEVE
SHERRY IS JOINING US THIS
MORNING TO PROVIDE AN UPDATE FOR
US. I WOULD LIKE TO REMIND LSTRC
MEMBERS THAT THIS MORNING WILL
BE VIDEOCAST. LAUREN, ARE THERE
ANY OTHER BUSINESS ITEMS WE NEED
TO ADDRESS?
>> NO, ANY OTHERS WE WILL TAKE
CARE OF AT THE END OF THE
MEETING. WE HAVE GONE LIVE ON
VIDEOCAST NOW.
>> WONDERFUL. DR. SHERRY, THANK
YOU FOR BEING HERE. TURNING
THINGS OVER TO YOU.
>> THANK YOU, DR. YOUNG, FOR
THAT KIND INTRODUCTION. BEAR
WITH ME ONE SECOND AND LET ME
GET MY SHARING STARTED HERE.
THINK WE ARE GOOD. ALL RIGHTY.
ALL RIGHT. DO Y'ALL SEE THE
FULL-SCREEN VERSION? ALL RIGHT,
WELL GOOD MORNING.
>> NO, WE ACTUALLY SEE THE SLIDE
PRESENTER.
>> OH, ALL RIGHT. OH DEAR, NOW
I'VE GOT TO -- BEAR WITH ME. HOW
DO I SEE IT TO FIX IT.
>> YOU SHOULD BE ABLE TO CLICK
ON DISPLAY SETTINGS. YOUR MOUSE
WAS HOVERING OVER IT. CLICK IT.
IT WILL ALLOW YOU TO SWAP
PRESENTER. THERE WE GO.
>> ALL RIGHT, THANK YOU. ONE DAY
I WILL MASTER IT, PROBABLY THE
SAME DAY I RETIRE. GOOD MORNING,
THANK YOU ALL FOR ATTENDING THE
OCTOBER LSTRC MEETING. FIRST I
WANT TO MENTION THIS IS AN
INTERNATIONAL OPEN ACCESS WEEK.
THIS IS CRUCIAL TO OUR WORK. AS
YOU PLAY AN IMPORTANT ROLE IN
ENSURING BIOMEDICAL RESEARCH WE
WANT TO MAKE SURE THIS CAN REACH
ALL AUDIENCES. WITH THAT SAID
I'M EXCITED TO CONNECT AND SHARE
UPDATES AROUND AND IN AND ACROSS
L
N V /* NLM. I WANT TO THANK OUR
LEADERSHIP TEAM AND I'M PROUD TO
WORK WITH THESE LEADERS. I HAVE
LEADERSHIP TRANSITION NEWS TO
SHARE WITH YOU TODAY. FIRST I AM
EXCITED TO ANNOUNCE THAT DR. KIN
WA FUN WAS APPOINTED FOR THE
LHN-CDC. DR. FUN'S BEEN FOR 20
YEARS AS A POST-DOCTORAL
SPECIALIST AND PUBLISHED HIGH
IMPACT RESEARCH ON COVID-19,
LONG COVID, H.I.V. AND A.I.D.S.,
ADVERSE DRUG REACTIONS AND
TOPICS. JIM MORK HAS BEEN NAMED
THE DEPUTY DIRECTOR OF THE
CENTER HILL FOR BIOMEDICAL
COMMUNICATIONS. JIM HAS MANY
YEARS IN BIOMEDICAL RESEARCH AND
COMMUNICATION, BIOMEDICAL
RESEARCH PRODUCTION, PRODUCT
ASSESSMENT, DATA SCIENCE AND
NATURAL LANGUAGE PROCESSING TO
HIS NEW ROLE. WE ARE EXCITED TO
HAVE DR. FUNG AND JIM MORK IN
THEIR NEW ROLES. I WANT TO SHARE
EXCITING NEWS THE INTRA MURAL
RESEARCH PROGRAM RECEIVED
OFFICIAL APPROVAL FROM NIH TO
BECOME THE NLM RESEARCH OR DIR.
ON THIS ORGANIZATIONAL CHART THE
COMPUTATIONAL HEALTH RESEARCH
BRANCH WAS PREVIOUSLY HOUSED
UNDER LISTER HILL BUT THE
BIOLOGY BRANCH WAS UNDER THE
NATIONAL CENTER FOR
BIO TECHNOLOGY INFORMATION,
SHOWN UNDER THESE TWO. IN THE
UPDATED CHART THE REORGANIZATION
HAS ESTABLISHED THE DIR,
DIVISION OF INTRAMURAL RESEARCH
HAS A SEPARATE DIVISION THAT
WILL CONTAIN COMPUTATIONAL
RESEARCH AND BIOLOGY BRANCH AS
WELL AS ITS OWN OFFICE OF
DIRECTOR. THIS MILESTONE
REPRESENTS A POSITIVE INVESTMENT
IN GROWING A CENTER OF
EXCELLENCE FOR INNOVATION FOR
BIOLOGY AND RESEARCH. IN DIR
INVESTIGATORS WILL ENGAGE IN AND
EXPAND A VIBRANT, DIVERSE,
COLLABORATIVE COMMUNITY TO
ADVANCE KNOWLEDGE AND IMPROVE
HUMAN THOUGHT. NOW FOR UPDATES
ABOUT NLM'S COMMITMENT TO
INNOVATION. THERE ARE FOUR WORK
STREAMS WE ARE USING TO BUILD
THE NLM INNOVATION PROGRAM:
GOVERNANCE AND MANAGEMENT, IDEAL
LIFE CYCLE, DEPLOYMENT AND
MEASURE. AND OUR ORGANIZATIONAL
READINESS. I'M HAPPY TO SHARE
ALL THE WORK STREAMS HAVE
ACHIEVED THEIR OUTCOMES. IN
FACT, THE NLM INNOVATION PROGRAM
LAUNCHED SEPTEMBER 26TH. THE
INNOVATION PROGRAM WILL EMPOWER
STAFF TO SUBMIT NOVEL IDEAS FOR
ADDRESSING DIFFICULT PROBLEMS OR
SEIZING NEW OPPORTUNITIES, ALLOW
STAFF TO SHOWCASE SOLUTIONS
ACROSS NLM AS AN INSTITUTE
AND STAFF IN MAKING A MARK ON
HOW NLM'S TRIBUTE SIGNIFICANT
VALUE TO THE MISSION. FOR THE
PROGRAM WE SELECTED OUR FIRST
INNOVATION PROGRAM FACILITATOR
COHORT AND TARGETING HAVING TWO
PROGRAM FACILITATORS. GIVEN THE
LEVEL OF INTEREST FROM NLM STAFF
WE INCREASED THAT TO SIX. SO
SINCE THIS LAUNCH OF THE PROGRAM
WE HAVE ALSO RECEIVED FIVE
INNOVATION SUBMISSIONS AND 200
IN THE CUE AND THE IDEAS ARE
GOING THROUGH THE INITIAL
EVALUATION PROCESS AND BE
REVIEWED BY OUR INNOVATION
PROGRAM BOARD LATER THIS FALL.
THIS REPRESENTS OUR
COMMITMENT TO PRIORITIZING
NLM-WIDE PURSUITS THAT TRANSFORM
THE WAY NLM WORKS TO MEET THE
DIRECTOR'S VISION AND FUTURE
NEEDS OF OUR BIOMEDICAL
COMMUNITY.
LET ME PROVIDE AN UPDATE ON
THE NLM BUDGET. THE FISCAL YEAR'
25 PRESIDENT'S BUDGET INCLUDES A
PROGRAM LEVEL OF $50.5 BILLION.
OF THAT AMOUNT THE REQUEST FOR
NLM IS 526.8 MILLION. ONGOING
ACTIONS ON FISCAL YEAR' 25
BUDGET HAVE NOT BEEN COMPLETED.
AT THIS POINT WE HAVE A
CONTINUING RESOLUTION OR CR
UNTIL DECEMBER 20TH. WE REALLY
CAN'T SAY MUCH MORE UNTIL
CONGRESS MEETS AFTER THAT.
I WOULD LIKE TO PIVOT ON
EXCITING ACCOMPLISHMENTS FROM
NLM'S DIVISIONS AND PROGRAMS.
FIRST I'M EXCITED TO SHARE AN
UPDATE ABOUT THE FISMA MODERATE
ELECTRONIC HEALTH RECORDS DATA,
KNOWN AS FIRDI. IN
SEPTEMBER 2023 WE ANNOUNCED THE
LAUNCH, A SECURE ENVIRONMENT
THAT CAN HOUSE HUMAN-RELATED
DATA INCLUDING PERSONALLY
IDENTIFIABLE INFORMATION AND
WILL UNDERPIN SEVERAL NLM
PROJECTS AND INITIATIVES. SINCE
ANNOUNCING THE LAUNCH THE
ENVIRONMENT HAS EXPANDED TO
INCLUDE 11 DATASETS.
THE INVESTIGATIONS OR CCOI.
AN EVOLVING PROJECT SEEKING TO
LOWER BARRIERS TO FINDING,
EVALUATING AND USING LARGE
CLINICAL DATA SETSETS. THE HILL
CENTER LAUNCHED IN MAY OF 2024.
THE WEBSITE SUPPORTS THE CCOI
MISSION BY PROVIDING THE PUBLIC
WITH DATASET PROFILES, PROFILES
ON THE META DATA OF EACH OF THE
COHORT SETS AND COMPRISED OF AN
OVERVIEW, BASIC STATISTICS AND
CONCEPT COUNTS FOR EACH. WE
CURRENTLY HAVE FOUR FEATURED ON
THE WEBSITE.
I'M PLEASED TO RECAP A FEW
OF OUR RECENT ACCOMPLISHMENTS OR
RESEARCH AND DEVELOPMENT IN
BIOINFORMATICS AND SCIENCE .
THE MALARIA SCREENER IS A
PARTNERSHIP WITH JOHNS HOPKINS
FOR EVALUATING EFFICACY OF
ANTI -MA LARIAL DRUGS IN RODENT
MODELS BY PROCESSING THE
LEARNING ENABLING LABS TO HAVE
CAPABILITY TO EVALUATE VACCINE
CANDIDATES. ALSO A NEW
COLLABORATION BETWEEN LISTER
HILL CENTER, USER SERVICES AND
COLLECTIONS DIVISION, NOW KNOWN
AS USCD, AND OFFICE OF COMPUTER
AND COMMUNICATIONS SYSTEMS, OR
OSIS, THE INTELLIGENT UNIFIED
MEDICAL LANGUAGE SYSTEM EDITING
ASSISTANCE WHICH HELPS EDITORS
FIND MATCHES AMONG 3 MILLION
CONCEPTS FOR THE OVER 100,000
NEW TERMS ADDED EVERY SIX
MONTHS. THIS IS DONE BY APPLYING
DEEP LEARNING TECHNIQUES.
I'M ALSO PLEASED TO SHARE
THE PUBMED HAS REACHED THE 10
MILLION ARTICLE MILESTONE WITH 7
MILLION ADDED TO THE ARCHIVE
SINCE 2014. MORE THAN 6 MILLION
OPEN ACCESS ARTICLES ARE NOW
VARIABLE FOR MACHINE LEARNING
AND OTHER REUSE. IN 20:24 PMC
BEGAN UPDATING THE TECHNOLOGY
BEHIND ITS PUBLIC WEBSITE USING
CLOUD SERVICES IMPROVING THE
USER EXPERIENCE, READABILITY,
RELIABILITY AND SUSTAINABILITY.
THE UPDATED FEATURES HAVE BEEN
AVAILABLE FOR PREVIEW SINCE
MARCH. BASED ON USER TESTING AND
FEEDBACK. ON OCTOBER 15THPMC
TRANSITIONED TO RUN ON CLOUD
SERVICES 100%. THIS INCLUDES AN
UPDATED FEEL FOR ARTICLES
FOCUSSING ON IMPROVING
ACCESSIBILITY AND READABILITY,
IMPROVED NAVIGATION AND NEW
JOURNAL LIST DISPLAY. THE PMC
TEAM HAS INCORPORATED
ACCESSIBILITY INTO THE
DEVELOPMENT PROCESS INCLUDING
FUTURE PRY OR IZATION AND
TESTING. THE UPDATED DESIGN USES
US WEB DESIGN STANDARDS,
COMPONENTS AND PRINCIPLES FOR
READABILITY AND ACCESSIBILITY OF
PAGES, SHOWN ON THE LEFT. THE
PMC TEAM WILL CONTINUE WORKING
TOWARDS AN ACCESSIBLE AND
CONSISTENT USER EXPERIENCE
REGARDLESS OF THE USER'S
VISITING PMC ON DESK TOP, MOBILE
DEVICE OR GROWGLY, ASSISTIVE
TECHNOLOGY. ACHIEVING
ASPIRATIONS REQUIRES ADVANCING
DIGITAL ACCESSIBILITY. THIS IS
WHAT WE HAVE DONE WITH P MC. IF
YOU ARE INTERESTED IN LEARNING
MORE I SUGGEST READING OUR MOST
RECENT NLM MUSINGS FROM THE
MEZZANINE BLOG, PUBLISHED
WEDNESDAY.
NOW AN UPDATE ABOUT NLM'S
COMPARATIVE CGR, OFFERING A TOOL
KIT OF DATA AND ANALYSIS FOR
STUDY OF EUCARIOTE IK ORGANISMS.
ENHANCEMENTS INCLUDE OPTIMIZED
BLAST DATABASES AND NCBI DATA
SETS. BLAST, NLM'S FLAGSHIP FOR
SEQUENCE SEARCHES FOR GENOMIC
SEQUENCES CHANGED THE DEFAULT
NUCLEOTIDE DATABASE INTO A
COMPACT SELECTION OF SEQUENCES
THAN THE PREVIOUS DEFAULT. IN
CBI DATA SETS, NOW PUSH LISHED
IN NATURE SCIENTIFIC DATA, HAS
MODERNIZED HOW USERS ACCESS AND
DOWNLOAD GENOME, TAXONOMY ON THE
WEB VIA COMMAND LINE. THESE DATA
SETS REPLACE LEGACY GENOME AND
ASSEMBLY RESOURCES WHICH WE HAVE
OPERATED ALMOST 20 YEARS. THEY
WERE RETIRED ON JULY 15TH,
PROVIDING A SINGLE ENTRY POINT
TO GENOME RELATED DATA AND DATA
SETS MODEL. NO CHANGE TO HOW
USE ERS PROGRAM MAT CLI ACCESS
USING E-UTILITIES OR E-DIRECT.
IN JUNE WE CONCLUDED A YEAR-LONG
SYSTEM REALIGNMENT TO MODERN IZE
APPROACH TO CONTINUE TO BE AN
EXEMPLAR OF THE FEDERAL
INFORMATION SECURITY
MODERNIZATION ACT OR FISMA,
GROVT FRAMEWORK THAT DICTATES
AND DESCRIBES THE FRAMING FOR
COMPUTER -- SAFETY COMPUTER
OPERATIONS IN THE FEDERAL
GOVERNMENT. PREVIOUSLY NLM
REPORTED TO NIH WITH A SINGLE
NLM DATA SING TER THAT
REPRESENTED 23 MINOR SYSTEMS.
THE SYSTEM REALIGNMENT RESULTED
IN THREE AUTHORIZATION
BOUNDARIES SHOWN HERE. EACH
DIVISION HERE WITH AN NLM IS
RESPONSIBLE FOR TECHNICAL,
OPERATIONAL AND MANAGEMENT
CONTROLS NECESSARY TO SAFEGUARD
THEIR INFORMATION SYSTEMS, WHILE
SUPPORTING SERVICES AND BUSINESS
OPERATIONS. THE THREE NEW
REPORTED SYSTEMS ALIGN MORE
CLOSELY WITH DIVISION-SPECIFIC
AUTHORIZATION BOUNDARIES BETTER
MEETING FISMA AND NIH'S COMPUTER
REQUIREMENT S. IN JANUARY NLM
LAUNCHED THE BETA VERSION OF
DATA SET CATALOG, A DISCOVERY
TOOL POWERED BY AN INNOVATIVE
FRAMEWORK OR DATUM PROVIDING A
COMMON MODEL FOR DESCRIBING IN
BIOMEDICAL SETS OF REPOSITORIES.
WE CURRENTLY HAVE SEVEN
REPOSITORIES IN THE DATA SET IN
THE DATA PROJECT. AS YOU CAN SEE
IN 2025 THE DATA SET CATALOG
AIMS TO HAVE MORE DATA
REPOSITORIES, IMPLEMENT
ENHANCEMENTS, UPDATE THE
ENVIRONMENT, REDUCE LOAD TIME
AND DEVELOP A FROSHG FOR
EXPANSION. ASIDE THE CATALOG ONE
OF OUR STRATEGIES WE ARE
EXPLORING TO SUPPORT AN
ECOSYSTEM OF DISTRIBUTED OR FED
RATED DATA RESOURCES. WHERE NOT
ALL COLLECTION ALSO BE HELD AT
NLM BUT RATHER INDEXED THROUGH
META DATA DESCRIPTION IN THE
CATALOG, TELLING THE USER WHERE
TO GO TO RETRIEVE DATA IN AN
ADJACENT REPOSITORY.
NOW FOR NEWS FROM NLM'S
DIGITAL COLLECTIONS. FIVE NEW
DIGITIZED ARCHIVE COLLECTIONS
HAVE BEEN LISTED HERE THAT ARE
NOW AVAILABLE INCLUDING TWO
COLLECTIONS DIGITIZED IN
COLLABORATION WITH ADAM MATTHEW
PUBLISHING, TWO POPULAR CIVIL
WAR ERA COLLECTIONS AND OVER
26,000 PAGES FROM THE STAND HOME
BANE JONES, A PHYSICIAN,
BACTERIAOLOGIST AND EDITOR WHO
CONTRIBUTED TO THE 1964 SURGEON
GENERAL'S REPORT ON SMOKING AND
HEALTH. NLM IS EXCITED TO MAKE
THESE AVAILABLE IN DIGITAL FORM
TO RESEARCHERS FROM ALL
DISCIPLINES. IN MORE EXHIBITION
NEWS I'M EXCITED TO ANNOUNCE
NLM'S VIRTUAL EXHIBITION, THIS
LEAD IS KILLING US, HISTORY OF
CITIZENS FIGHTING LEAD POISONING
IN THEIR COMMUNITIES THAT
RECEIVED THE HEALTH AND SAFETY
VIRTUAL EXHIBIT OF THE YEAR
AWARD FROM AMERICAN INDUSTRIAL
HYGIENE ASSOCIATION, OR AIHA.
THIS HIGHLIGHTS PAST AND ON
GOING EFFORTS TO PREVENT LEAD
EXPOSURE IN WORKPLACES, FROM
TAKE-HOME TO DUMPING IN LEAD
PIPES. THROUGH THIS AWARD AIHA
SEEKS TO INSPIRE OTHERS TO
IDENTIFY OR DEVELOP OTHER HEALTH
AND SAFETY-RELATED VIRTUAL
EXHIBITS, SO CONGRATULATIONS TO
THIS TEAM.
NLM WORKED WITH NIH'S OFFICE
OF RESEARCH ON WOMEN'S HEALTH,
ALSO KNOWN AS ORWH, O DEVELOP A
NEW MINIMAL VIABLE PRODUCT
DURING BP OF A NOVEL NIH
DISCOVERY FOR WOMEN'S HEALTH
RESEARCH. THIS NEW PRODUCT
OPERATED BY NLM IS CALLED THE
DISCOVER WHR, PUBLISHLY LAUNCHED
IN SEPTEMBER. THE PORTAL
FACILITATES THE DISCOVERY OF
RESEARCH INCLUDING RELATED DATA
AND LITERATURE ON HEALTH ISSUES
PRIMARILY AFFECTING WOMEN SUCH
AS MENOPAUSE, POLYCYSTIC OVARY
SYSTEM, AS WELL AS RESEARCH INTO
COMMON HEALTH ISSUES THAT OFTEN
PRESENT DIFFERENTLY IN WOMEN
SUCH AS AUTO IMMUNE DISORDERS.
THROUGH THIS PORTAL PATIENTS,
CAREGIVERS, MEDICAL
PROFESSIONALS, RESEARCHERS AND
PUBLIC CAN DISCOVER FINDING AND
ONGOING RESEARCH, INCLUDING NIH
FUNDING, LITERATURE, INFORMATION
ON RELEVANT TOPICS THAT AFFECT
WOMEN'S HEALTH. INITIALLY THE MV
FEATURES A FEW SELECT TOPICS
WITH MORE TOPICS AND FEATURES TO
COME AS WE BUILD THE TEAM AND
THE CUREATION PIPELINE THAT IS
GATHERING AND VALIDATING
INFORMATION. NOW I WOULD LIKE TO
THANK A MOMENT TO THANK THE
LSTRC MEMBERS. IT IS
INTERNATIONAL OPEN ACCESS WEEK
AND YOUR WORK IS SUPPORTING
NLM'S WORK TO SUPPORT IMPACTFUL
LITERATURE REACH THE PUBLIC.
EVERYONE HERE, MYSELF
ESPECIALLY, GREATLY APPRECIATE
YOUR OUTSTANDING DEDICATION AND
SERVICE. NOW I THINK I'M AT THE
END OF MY PREPARED REMARKS AND
WILL OPEN THE ROOM TO QUESTIONS
OR DISCUSSION. THANK YOU, DR.
YOUNG.
>> THANK YOU, DR. SHERRY. IF THE
COMMITTEE WON'T -- DOESN'T MIND,
I WOULD LIKE TO KICK THINGS OFF
WITH QUESTIONS. THE NLM IS DOING
SOME FANTASTIC THINGS. THANK YOU
FOR YOUR REPORTS. REGARDING THE
INNOVATIONS PROGRAM, WOULD YOU
PROVIDE EXAMPLES OF THE TYPES OF
INNOVATIONS THAT MAY BE PUT
FORWARD THROUGH THIS SYSTEM?
>> SO THERE ARE DIVISIONAL
OPPORTUNITIES TO IMPROVE WORK
FLOW TO CAPITALIZE ON NEW
TECHNOLOGIES LIKE AI OR TO SIN
SYNERGI Z E HOLDINGS SO MAY KWAL
TIF CURATION TO FIND OUTLIERS. I
MENTIONED THE SYSTEM THAT IS
CROSS-INNOVATION THAT THEY WOULD
SUPPORT AND THERE WOULD BE
TOP-DOWN WHERE NIH IS NOW ASKING
NLM TO CONTRIBUTE TO NEW EFFORTS
AT THE DEPARTMENT OR AGENCY
LEVEL AND MIGHT BE INNOVATION
REQUIREMENTS TO DO SPECIFIC
THINGS LIKE AI-SUPPORTED
TRANSLATION OF UNSTRUCTURED
PATHOLOGY NOTES INTO STRUCTURED
OBJECTS THAT WOULD GO INTO A
FIRE RECORD. THIS IS PART OF
CANCER-CURATION OR SEAR REGISTRY
AS THEY APPEAR ACROSS THE
COUNTRY. RUN BY CMC, NIH IS
INTERESTED AND INTERESTED IN LLM
THROUGH VOCABULARY MANAGEMENT
SYSTEM AS AN INTEREST IN DOING
THIS. THERE IS A DEEP AMOUNT OF
CURIOSITY AND A SENSE OF
OPPORTUNITY AROUND ARTIFICIAL AI
IN LLMS, THESE LARGE LANGUAGE
MODELS. HOW CAN NLM PREPARE --
BE CAREFUL WITH MY WORDS HERE --
SUPPORTING TOOLS THAT CORRECTLY
PRESENT FACTUAL SEMANTIC
KNOWLEDGE. SOME ARE PRONE TO
HALLUCINATION AND WRITE MODELS
OF WHAT AN ANSWER MAY LOOK LIKE
OR INVENT FACTS, THINKING OF THE
STRUCTURE OF WHAT A FACT MIGHT
LOOK LIKE. WE ARE TRYING TO
CREATE SEMANTIC GRAPHS WHICH
LINKS BACK INTO CITATION AND
EVIDENCE IN TEXTBOOKS,
MONOGRAPHS AND DATA THAT SUPPORT
THESE FACTS. THAT ALLOWS, WE
HOPE, THE NEXT GENERATION OF
REASONING MODELS TO BE MORE
ACCURATE AND HAVE TRACE-BACKS
AND CITE WITH EVIDENCE AND
CREDIT AND ACKNOWLEDGE THE
CONTRIBUTORS CONTRIBUTING TO
THAT FACTUAL KNOWLEDGE. THAT IS
KIND OF ABSENT IN THE WAY THINGS
LIKE CHATGPT RUN. THAT IS A BIG
DYNAMIC AREA. IT HAS ENGAGED ALL
DIVISIONS OF NLM. WE THINK ABOUT
THE OPPORTUNITIES TO BRING IN
KIND OF A WHOLE-HEALTH
PRESENTATION ABOUT INFORMATION,
IT IS A WAY TO UPLIFT A LOT OF
OUR HISTORIC COLLECTIONS.
THROUGH INCORPORATING THEM INTO
THE SEMANTIC STRUCTURES WE CAN
GIVE CREDIT BACK TO PAST AUTHORS
EARLIER IN 20TH CENTURY OR IN
THE 19TH CENTURY. WE CAN LOOK AT
THIS IN SOME QUICK WAYS BECAUSE
A LOT OF OUR OLDER HOLDINGS ARE
OFF COPYRIGHT AND ON DELAY SO
THAT GIVES US A CORPUS OF
MATERIAL WHERE THERE IS NO
LICENSE RESTRAINTS AND NOT
WORKING IN ANY KIND OF INTEREST
THAT IS NOT WELL ALIGNED WITH
PUBLISHERS.
LIKE I SAID, IT BRINGS A NEW
LIFE TO -- WE HAVE FOUR FOOTBALL
FIELDS OF BOOKS IN THE BUILDING
NEXT DOOR THAT DON'T CIRCULATE
MUCH BUT THERE IS INFORMATION
THERE THAT IS KIND OF LOST AS WE
MOVE TO THIS NEW DIGITAL WAY OF
THINKING AND REASONING. SO I
WANT TO CAPTURE THAT. THAT IS
KIND OF SOME OF THE AREAS WHERE
INNOVATION AND BOTTOM-UP TOO
WHERE STAFF CAN FIND
OPPORTUNITIES TO DO BETTER,
SMARTER, FASTER WORK. THAT IS
WHAT WE ARE TRYING TO EMPOWER
THROUGH THE INNOVATION FUND, AS
A SUPPLEMENT TO THE DIVISION
BUDGETS.
>> THANK YOU. ARE THERE LSTRC
MEMBERS -- QUESTIONS? WHAT
QUESTIONS DO WE FOR DR. SHERRY,
FOR ME?
>> -- HEALTH AND TRANSLATIONAL
RESEARCH, THIS IS A LITTLE -- I
THINK THIS IS A LARGER NIH
MANDATE. IS THERE A -- IS THERE
A MOVE TOWARDS TRYING TO
INTEGRATE AI WITHIN THE REVIEW
SYSTEM, OR HOW IS THE NEWER
TECHNOLOGY AND THE NEWER
INFORMATION -- I LIKED YOUR
POINT ABOUT, YOU KNOW, THE OLDER
INFORMATION BEING LOST DURING
THE TRANSITION, BUT HOW DO YOU
ALSO KEEP UP WITH ALL THE
INCREASED INFORMATION THAT IS
COMING THROUGH IN TERMS OF
PUBLICATIONS, IN TERMS OF
EXCITING ADVANCES?
>> SO I THINK THERE IS GOING TO
BE A LOT OF COMPETITION IN THIS
SPACE. I THINK NLM WILL BE A
PLAYER BUT CERTAINLY NOT THE
ONLY PLAYER. I DON'T EVEN KNOW
IF WE WILL SUFFICIENTLY
CAPITALIZE TO BE A MAJOR PLAYER.
I THINK INDUSTRY IS WELL AHEAD
OF GOVERNMENT NOW. AND THEIR
BUDGETS ARE TEN TIMES THE SIZE
OF OURS. SO I THINK ANYTHING WE
ARE DOING IN THIS SPACE WILL BE
A PUBLIC/PRIVATE PARTNERSHIP AND
WE CAN BRING EXPERTISE AND
PASSION THAT THEY MAY NOT HAVE
INTERNALLY. THAT BEING SAID I
THINK THERE ARE ROLES FOR THE
TECHNOLOGY TO SUBJECT MATTER
EXPERTS, INVESTIGATORS,
RESEARCHERS IN KIND OF DOING --
IN GATHERING FACTS AND
KNOWLEDGE. IN REVIEW, WE ARE
MUCH MORE CAUTIOUS. I DON'T
THINK REVIEW IS -- AT ANY TIME
NOW A PROPER SUBSTITUTE FOR
HUMAN REVIEW AND CRITICAL
THINKING. BECAUSE, AGAIN, THEY
ARE JUST MODELS FOLLOWING
ALGORITHMIC RULES. THEY ARE NOT
LOOKING AT THE DEEP FACTS. THEY
DON'T NECESSARILY REASON IN A
CAUSAL WAY. SO THE SCIENCE AND
THE RATIONALITY WE ARE LOOKING
FOR TO UNDERSTAND PHENOMENA IS
ONLY GOING TO BE ASSESSED
THROUGH THE HUMAN MIND. SO NIH
ALREADY HAS A POLICY, YOU CANNOT
USE AI IN GRANT REVIEW, CANNOT
USE IT IN MANUSCRIPT REVIEW.
WHEN WE HAVE REVIEWERS, IT IS
YOUR MINDS WE NEED. NOT YOUR
ABILITY TO TYPE SOMETHING
QUICKLY INTO A KEYBOARD AND GET
ANSWERS BACK.
SO I THINK FIND ING THAT
RIGHT SPACE TO HELP PREPARE AND
FLAG THINGS FOR HUMAN REVIEW IS
LIKE USING IT AS AN EXPERT
SYSTEM. WE HAVE DONE OTHER -- SO
WHERE IT IS GOING TO BE GOOD AT
IS WHEN YOU HAVE A HIGHLY
REPETITIVE TASK OR LOOKING FOR
SMALL DETAIL IN AN OTHERWISE SEA
OF NOISY INFORMATION. I THINK IT
IS HELPFUL TO UPLIFT THINGS THAT
ARE OUTL IERS OR CURIOUS. LIKE
FORENSIC OR PATERNITY TESTING,
YOU ARE ALWAYS LOOKING AT THE
REGULAR RESULTS OUT OF THESE
D.N.A. TESTS BUT LOOKING FOR
ANOMALY TO SIGNAL THE ALGORITHM
TO MAKE A MISTAKE. HUMANS
FATIGUE AT THAT TASK QUICKLY.
COMPUTERESE CAN BE GOOD AT
FINDING A SIGNAL THAT LOOKS
DIFFERENT OR OUT OF BAND, WHAT
ABOUT THIS OR THAT. THE HUMAN
CAN SAVE OH THAT IS A MISTAKE OR
ERROR OR NOISE. WE CAN USE OUR
JUDGMENT AND LEAVE THE
COLLECTING TO THE COMPUTER AND
THE ALGORITHM. IN MY SENSE THAT
IS THE SAFEST WAY TO USE IT. I
DON'T WANT IT TO REPLACE HUMAN
THOUGHT BUT CAN CERTAINLY
ACCELERATE THE PROCESS.
THERE'S PROBABLY OTHER
SPACES IN DISCOVERY WHERE LIKE
THE PROTEIN FOLDING, AS YOU KNOW
IN THE NOBLE PRIZE, IT IS GOING
TO BE AN ADJACENT TOOL. IT WILL
BE PART OF OUR SCIENTIFIC WORK
FLOWS IN OUR LIFE. TO YOUR POINT
AS THE LSTRC GROUP, IN JOURNALS,
INCREASING AI TO AUTHOR,
PUBLISHER VIEW, THAT IS WHERE
THEY ARE STUCK AND SAY NO, WE
DON'T THINK AUTHOR --
AI-GENERATED AUTHOR TOOL
MANUSCRIPTS ARE APPROPRIATE. I
WILL LEAVE THAT TO Y'ALL'S
DISCOURSE AND DELIBERATION. SO I
HOPE THAT IS HELPFUL.
>> THIS HAS BEEN VERY REASSURING
FOR ME BECAUSE I WORRIED A LOT
ABOUT AI, ESPECIALLY BECAUSE THE
CORPORATE INTERESTS THAT ARE
INVOLVED IN DEVELOPMENT OF THIS
TECHNOLOGY HAVE BASICALLY
PROFITED, IN MIND. IT IS GOOD TO
KNOW THERE IS AN ORGANIZATION
LIKE NLM THAT IS CONCERNED ABOUT
THE HUMAN ELEMENT IN THE
INTERPRETATION OF DATA, SO THAT
I FEEL REALLY REASSUREDED BY
YOUR PRESENTATION.
>> SO IT IS NOT JUST US. I THINK
NIH GENERALLY HAS THESE SAME
PRINCIPLES WITH THE OFFICE OF
EXTRAMURAL RESEARCH, THEY SET
ITEMS FOR REVIEW AND CAUTIONS
THERE. WE ARE LOOKING AS AN
AGENCY, NIH, INCLUDING NLM,
ABOUT WHAT IS THE RIGHT ROLE FOR
US TO SUPPORT AI FOR RESEARCH
USE IN INTRA MURAL PROGRAMS TO
PARTNER WITH PRIVATE COMPANIES.
THE ONES THAT HAVE SHAREHOLDERS
OR ARE ACCOUNTABLE TO
SHAREHOLDERS FOR VALUE,
COMPANIES MOVING FROM A
NONPROFIT TO A FORPROFIT STANCE
ARE CHANGING AGENDA AND I'M
SEEING LEADERSHIP DEPAW PAR
AGRICULTURES OF -- DEPARTURE OF
PEOPLE USING THIS. THAT IS
DISCONCERTING. I WANT TO MAKE
SURE IN ONE OF NLM'S COMMITMENTS
THROUGH OUR OFFICE OF STRATEGIC
INITIATIVES IS TO REALLY ADVANCE
THAT CONVERSATION. WE ARE TRYING
TO CREATE TOOL KITS AND PROMOTE
GOVERNANCE OF AI, REALIZING IT
IS GOING TO BE IN EVERY
SCIENTIFIC WORK FLOW AND
PRODUCTION SYSTEMS INFORMATION
IS GOING TO BE MANAGED BY THIS
TECHNOLOGY. IT IS JUST SO
EFFICIENT. WHAT NEEDS TO BE THE
OVERSIGHT TO LOOK FOR BIAS,
UNEXPECTED CONSEQUENCES,
REPRESENTATIVE BEHAVIOR. HOW
GENERAL IS THE WORK? RECALL,
RETRIEVAL AND UNBIASED WAY? THIS
MAYBE GETS MORE INTO THINGS LIKE
PATTERN RECOGNITION AND TOOLS
AND SERVICES THAT DO THINGS LIKE
IM IMA
IMAGE ANALYSIS, DIAGNOSTICS,
LOOKING FOR TUMORS OR
SIGNATURES. BUT ALSO ANALYZING
PATTERNS OF WRITING AND LOOKING
FOR AUTHORSHIP AND SUBJECT
MATTER DISCOURSE AND IS THERE
DIFFERENCES IN WRITING STYLE OF
SAY NATIVE SPEAKERS VERSUS
SECOND LANGUAGE ENGLISH ESL THAT
IT DOES NOT WORK EFFECTIVELY?
YOU KNOW, IT MIGHT BIAS ONE
VERSUS THE OTHER. WE ARE
STUDYING THESE EFFECTS
INDIVIDUALLY. AS A GOVERNANCE
MODEL FOR EVERY OTHER INSTITUTE
HERE TO SAY YOU'VE GOT TO USE
SOMETHING LIKE THE NIS RESEARCH
FRAMEWORK GOVERNED MEASURE
PROCESS OR YOU ARE IN A DEVICE
MANUFACTURING FRAMEWORK WITH N
DIVIDEND OR SOMETHING LIKE JOE
JUST PUT OUT. PART OF OUR TOOL
STRATEGY IS KEEPING TRACK OF ALL
THE FRAMEWORKINGS, HELPING PEOP
SHOWING WHAT IS POSSIBLE IN
WORKING WITH NONPROFITS, AUTHORS
AND IN OUR SPEAKER SERIES IN
THIS CASE SHOWING FOR SCIENCE OR
CITIZEN OR RESEARCH COMMUNITY
WHAT SHOULD YOU BE LOOKING FOR.
TRYING TO ELEVATE THE DISCOURSE
AROUND THIS WHOLE SUBJECT OF
WHERE DO WE WANT AI IN SOCIETY
AND WHAT ARE THE TRADE-OFFS WE
ARE MAKING, WHAT SHOULD WE BE
LOOKING FOR BEFORE GIVING A
PASS. KIND OF ALL THE PRIORITIES
AS ACTING DIRECTOR, FIGURING OUT
OUR SPACE. I THINK THE NLM IS
TRUSTWORTHY -- TRUSTED AS AN
INSTITUTION THAT LOOKS FOR
INFORMATION TO BE ACCURATE AND
FAIR, YOU KNOW. BALANCED AND
THINGS HAVE BIAS, AT LEAST
DESCRIBE ING WHAT THE BIASES
ARE, I THINK THAT IS A MUTUAL
ASPIRATION. A LOT OF WORK TO BE
DONE IN THIS SPACE. NO CLEAR
ANSWERS, JUST A LOT OF GRAY, YOU
KNOW, IN FIGURING OUT WHAT BIAS
IS IS NOT EXCITING, IT DOES NOT
EXCITE PROFIT -- SHAREHOLDERS.
WE'VE GOT TO STEP OUT OF OUR
PRODUCT IN A MARK FORCE THAT IS
GOING TO MAKE THE CHANGE.
>> THANK YOU, DR. SHERRY. WE
HAVE REACHED ABOUT OUR 10:30
MARK. ON BE HALF OF THE
COMMITTEE I WANT TO THANK YOU
AGAIN FOR PROVIDING THIS UPDATE
FOR US.
>> THANK YOU SO MUCH, DR. YOUNG
AND EVERYONE. AS I SAID IN MY
REMARKS, I APPRECIATE ALL OF
YOUR SERVICE. OPEN SCIENCE WORKS
BECAUSE OF PEOPLE LIKE YOU THAT
TAKE THE TIME AND, YOU KNOW, DO
THIS WORK FOR US. I'M SO
GRATEFUL. NLM IS GRATEFUL, NIH
IS GRATEFUL. THANK YOU FOR YOUR
SERVICE. I HOPE YOU HAVE A
PRODUCTIVE TWO-DAY MEETING AND
WISH YOU ALL THE BEST.
>> THANK YOU, HAVE A GREAT DAY.
>> BYE-BYE.
>> BYE.