IF EVERYBODY CAN GET SEATED
WE'LL START THE MULTISCALE
MODELING PAST AND FUTURE
MEETING.
ALL RIGHT, I WILL PASS IT TO
BRUCE LEE.
THANK YOU, EVERYONE.
HOPE ALL OF YOU ENJOYED
YESTERDAY.
THANKS TO DENISE AND HERBERT FOR
CO-CHAIRING THE FIRST DAY.
THE FIRST DAY WAS FOCUSSED ON
THE PAST AND WHAT WE'VE LEARNED
FROM THE PAST AND HOW THAT
ACTUALLY TRANSLATES TO THE
FUTURE.
WE ESSENTIALLY WENT THROUGH SOME
OF THE ORIGINAL MSM AWARDEES AND
REFLECTIONS AND GAVE TRIBUTE TO
KEY MEMBERS OF THE CONSORTIUM.
WE LISTENED TO A GREAT FANTASTIC
KEYNOTE SPEAK FROM OUR CO-CHAIR,
DENISE, NOW WE'RE READY TO MOVE
TO THE SECOND DAY.
THE SECOND DAY IS FOCUSSED ON
THE FUTURE.
WE'LL LOOK AT HOW DO WE MOVE
FORWARD AS A CONSORTIUM.
HOW DOES MULTISCALE MODELING
MOVE FORWARD IN GENERAL.
WE'RE GOING TO START WITH A
KEYNOTE SPEAK FROM PETER HUNTER
WHO GRACE WILL INTRODUCE.
THEN WE'LL GO THROUGH A PLENARY
SESSION 2.1 WHICH IS THE CURRENT
IMAG INITIATIVE ROUNDTABLE.
THIS WILL BE AN OPPORTUNITY TO
REALLY COVER DIFFERENT
INITIATIVES THAT ARE RELATED TO
MULTISCALE MODELING IN DIFFERENT
WAYS.
A.I. DRIVEN AND MECHANISTIC
DRIVEN INITIATIVES, ETCETERA.
WE WANT TO ENCOURAGE EACH OF YOU
TO LOOK AT THE WIKI, TO LOOK AT
SOME OF THESE INITIATIVES LISTED
THERE.
THE ROUNDTABLE IS NOT GOING TO
GO THROUGH EACH IN DETAIL SO IF
YOU CAN LOOK THROUGH THE WIKI
FIRST TO GET AN IDEA OF WHAT THE
INITIATIVES ARE AND WE'LL
DISCUSS THEM AND HOW MULTISCALE
MODELING CAN FIT INTO THOSE.
THEN WE'LL HAVE A COFFEE/TEA
BREAK AT 10:00 A.M. THEN HAVE
THE PLENARY SESSION 2.2 WHICH
JASON WILL SUMMARIZE IN A
SECOND.
THEN WE'LL MOVE TO PLENARY
SESSION 2.3, SYNERGIZING MSM
WITH THE FUTURE.
WE'LL GO THROUGH OUR MISSION
STATEMENT THEN HAVE THE
INTRODUCTION FOR THE FIVE
DIFFERENT BREAKOUT SESSIONS SO
WE WANT TO ENCOURAGE YOU TO SIGN
UP FOR THEM IF YOU CAN.
IT WILL TAKE US THROUGH LUNCH,
12:15 TO 1:00 P.M. WILL BE THE
FIRST ROUND AND SECOND ROUND
RIGHT AFTER THAT AND THEN
RECONVENE TO HAVE REPORT OUTS
FOR EACH OF THE BREAKOUT
SESSIONS -- POSTER SESSION,
SORRY, 2:15 FOR ALL MSM
INVESTIGATORS AND A SUMMARY OF
BREAKOUTS AFTER THAT AND WRAP UP
SESSION.
THAT'S HOW OUR DAY IS GOING TO
GO.
JASON, DO YOU WANT TO MENTION
THE DISPARITIES PANEL.
>> YEAH, SESSION 2.2 WILL BE
AFTER THE COFFEE AND TEA BREAK
AND I'M EXCITED ABOUT THIS
SESSION FOCUSSED ON HEALTH
DISPARITIES AND MOVING TOWARDS
HEALTH EQUITY.
THIS WAS THE BRAIN CHILD OF TWO
EARLY INVESTIGATORS, ELSJE
PIENAAR OTHERS.
>> WE'RE USING THE HASHTAG IMAG,
PAST, THE NUMBER "2" FUTURE AND
WE HAVE SOME POSTS BUT IF YOU
CAN ADD TO THAT.
>> WELCOME BACK, EVERYONE.
I HOPE YOU ENJOYED THE FIRST DAY
AND THE SECOND DAY SHOULD BE
TWICE AS FUN.
ANY WAY, WE WERE FORTUNATE TO
PROVIDE FOR REFRESHMENTS FROM
THE SOCIETY OF MATHEMATICAL
BIOLOGY.
WE'LL DO THE SAME THING AFTER
THE MORNING SESSION.
WE'LL HAVE SOME COFFEE AND TEA
AND DURING THE POSTERS THIS
AFTERNOON THERE'LL BE SOME
SNACKS.
PLEASE EAT THEM UP,EN JOY AND
LUNCH THE SAME AS WELL.
WHEN IT'S TIME TO PICK UP YOUR
BOX LUNCH THIS TIME HOWEVER,
YOU'LL TAKE IT TO THE BREAKOUT
ROOM YOU SIGNED UP FOR SO A
BREAKOUT/LUNCH TODAY.
THANKS.
>> AND REED, I THINK YOU HAVE
LOGISTICS WITH THE BREAKOUT
SESSIONS.
>> YES.
ALL RIGHT, SO I'M EXCITED ABOUT
THESE BREAKOUT SESSIONS.
A LOT OF FOLKS HAVE PUT A LOT OF
WORK INTO THEM AND IT WILL BE A
GREAT WAY TO INTERACT.
OUTSIDE, OUT FRONT THERE'S A
PLACE TO SIGN UP FOR YOUR
BREAKOUT SESSION YOU'RE
INTERESTED IN.
THAT WILL HELP US ORGANIZE.
I THINK THERE'S TWO ROUNDS SO
YOU CAN SIGN UP FOR -- IF YOU
KNOW, FOR ROUND ONE YOU CAN SIGN
UP FOR DIGITAL TWINS AND ROUND
TWO YOU CAN SIGN UP FOR HEALTH
DISPARITIES OR ANOTHER ONE.
PLEASE, MAKE SURE YOU SIGN UP
MAYBE DURING THE COFFEE BREAK
AND DON'T FORGET TO POST IN THE
WIKI.
POST YOUR QUESTIONS ON OUR SLACK
CHANNEL.
SORRY.
AND ON EACH OF THE PAGES.
IF YOU GO TO THE WIKI YOU CAN
FIND OUT MORE ABOUT THE BREAKOUT
ROOMS ON THE WIKI.
DETAILS ABOUT THEM SO YOU CAN
SCROLL THROUGH THAT NOW IF
YOU'RE UNDECIDED ABOUT WHICH
BREAKOUT YOU WANT TO CHOOSE.
I LOOK FORWARD TO DAY TWO.
>> AND EMPHASIS, ROUND TWO WILL
BUILD ON ROUND ONE FOR THE
BREAKOUT SESSION.
ROUND ONE WILL DISCUSS THE
DIFFERENT POSSIBLE NEXT STEPS
FOR THAT TOPIC AREA AND ROUND
TWO WILL REALLY BE COMING UP
WITH CONCRETE NEXT STEPS.
WE WANT TO BREAK OUT SESSIONS TO
BE NEXT STEPS FOR OUR
CONSORTIUM.
I THINK WITH THAT, GRACE, YOU
HAVE OTHER LOGISTICS?
>> YEAH, FINALLY, TAKE A PICTURE
OF THE QR CODE AND MAKE SURE YOU
COME TO THE WIKI.
ONCE YOU GET TO THE WIKI, YOU'LL
GET TO THE PAGES.
I WOULD ENCOURAGE YOU IF YOU
HAVEN'T DONE IT YET TO DO THE
WORD CLOUD EXERCISE.
GO TO THE LOGISTICS PAGE AND
CLICK ON IT.
WE DON'T HAVE MANY METHODS,
APPLICATIONS.
PLEASE POST YOUR FAVORITE
MULTISCALE MODELING METHOD
APPROACH HERE AND YOUR FAVORITE
PROBLEM HERE AND ANY PICTURES
YOU MIGHT HAVE.
AND IN TERMS OF THE AGENDA FOR
TODAY WE'RE GOING TO BE HAVING
THE IMAG ROUNDTABLE AND THEN
AFTER THAT RIGHT BEFORE WE BREAK
FOR THE MORNING BREAK OUR
PHOTOGRAPHER WILL BE HERE TO
TAKE OUR PICTURE.
SO STAY PUT AND YOU'LL BE
DIRECTED TO COME FORWARD TO THE
FRONT TO TAKE A PICTURE.
AS WELL, MAKE SURE AS BRUCE JUST
MENTIONED, PLEASE LOOK AT THE
WIKI PAGES AND CLICK ON ALL THE
SESSION PAGES AND ESPECIALLY WE
ASKED YESTERDAY FOR YOU TO THINK
ABOUT THE FUTURE, RIGHT.
IF YOU HAVE IDEAS FOR THE
FUTURE, CLICK ON THE LAST
SESSION, FUTURE OF THE MSM
CONSORTIUM ESPECIALLY IF YOU
NEED TO LEAVE EARLY TODAY.
WE WANT YOUR COMMENTS HERE.
ADD YOUR COMMENTS HERE
ESPECIALLY IF YOU WANT TO DO
SOMETHING IN THE NEXT YEAR
PERHAPS EVEN ORGANIZE THE NEXT
MEETING.
PUT YOUR POSTINGS THERE.
>> GOOD MORNING.
I WANT TO REMIND YOU ALL THE
TALKS FROM YESTERDAY AND TODAY
WILL BE THERE IN THE WIKI UNDER
THE SESSIONS IF YOU WANT TO
ACCESS THEM.
ALSO, THERE WAS GREAT Q&A
DISCUSSION SO YOU IF YOU WERE IN
THOSE GO IN AND TRY TO RESPOND
TO THE QUERIES AND IF YOU HAVE
MORE QUESTIONS YOU THOUGHT ABOUT
POST THEM THERE AND WE'LL
CONTINUE THE INTERACTIVE
DISCUSSION AND THAT WILL HAPPEN
AGAIN TODAY.
ALSO, AFTER THE BREAKOUT
SESSIONS THERE'S GOING TO BE A
SUMMARY SO ALL THE LEADS WILL
PRESENT A TIGHT SUMMARY OF SOME
OF THE CONCRETE DECISIONS AND
SUGGESTIONS THAT ARE MADE.
THAT'S GOING TO BE REALLY GREAT
AND THAT WILL HAPPEN AFTER THE
SUMMARY.
EVEN IF YOU MISS ATTENDING THE
OTHER SESSIONS YOU'LL HEAR A BIG
SUMMARY OF WHAT HAPPENED.
>> AND ONE FINAL THING, THE
SECOND POSTER SESSION TODAY IS
FOR ALL THE INVESTIGATORS BUT
THE IMAG FOLKS, IF YOU ARE IN
THIS ROOM, PLEASE STAND UP RIGHT
NOW SO EVERYBODY CAN SEE YOU.
WAVE, IMAG FOLKS.
ALL RIGHT.
WE'RE CELEBRATING IMAG FOLKS AND
THEY'LL BE AT THE IMAG TABLE
DURING THE POSTER SESSION.
LOOK FOR THE BLUE STICKER ON
THEIR NAME TAG AND FIND THEM AND
ASK THEM ABOUT GOVERNMENT
QUESTIONS.
SO WE WILL BEGIN WITH THE
KEYNOTE FOR TODAY.
SO AS I MENTIONED DURING THE
OPENING YESTERDAY, ONE OF THE
INSPIRATIONS FOR OUR EXISTENCE
IS PETER HUNTER'S PAPER FROM
2003 WHERE ME INTRODUCED THE
SCALES OF THE HUMAN BODY AND
MULTISCALE MODELING AND I ASKED
HIM TO DO THE KEYNOTE TO PRESENT
THE VISION FOR THE FUTURE SINCE
HE SORT OF PRESENTED FOR IT THE
LAST 20 YEARS TO ASK PETER TO
THINK ABOUT THE NEXT 20 YEARS.
SO WITHOUT ANY FURTHER ADO, I'LL
HAVE PETER COME UP AND PRESENT
THE KEY NOTE.
>> THANK YOU FOR ALLOWING ME TO
TALK ABOUT THE FUTURE.
I HAVE TO QUICKLY GIVE A
PERSPECTIVE ON HOW THE PHYSIOME
PROJECT GOT START AND IT STARTED
WITH DENNIS AND THEN IN 1997
THEY ASKED ME TO CHAIR THE FIRST
WORKING GROUP OF COMMITTEE OF
THAT.
IT WAS ALWAYS FAIRLY QUICKLY
TIED UP WITH THE EUROPEAN UNION
AND THE PLANS THE EUROPEAN
COMMISSION HAD FOR CREATING WHAT
BECAME THE PHYSIOME PROJECT AND
THE WELCOME TRUST AND AT THE
SAME TIME GRACE BEGAN THE NIH
INSTITUTES IMAG PROGRAM.
WHAT WE WERE FOCUSSING ON WITH
THE PHYSIOME PROJECT WAS REALLY
THE ISSUE OF STANDARDS BEING
ABLE TO ENSURE REPRODUCIBILITY
IN MODELS BECAUSE WE WERE
FINDING A LOT OF THE MODELS WE
WERE TRYING TO ACCESS FROM THE
LITERATURE WERE NOT
REPRODUCIBLE.
WE DEVELOPED CEL ML AND SOFTWARE
AND AT ABOUT THE SAME TIME AS
YOU HAD HEARD YESTERDAY SBML GOT
GOING AND LEADING TO THE MARK UP
LANGUAGE AROUND THE SOLUTION
PROCESS FOR THE MODELS.
RECENTLY ON THE BOTTOM LEFT WE
STARTED AT A LOW -ACCESS JOURNAL
AS A SECONDARY JOURNAL SO PEOPLE
CAN PUT AFTER THEIR PUBLIC THEIR
PRIMARY PAPER CAN PUT EXTRA
EFFORT INTO DOCUMENTATION OF A
MODEL AND PUBLISH THAT AS THE
PHYSIOME JOURNAL AND THAT'S UP
AND GOING AND HAS BEEN UP AND
GOING ABOUT A YEAR.
THE PHYSIOME MODEL REPOSITORY
BUILT UP OVER MANY YEARS HAS
ABOUT 1500 CURATED MODELS.
THE CELLML STANDARD WAS AIMED AT
THE COMMUNITY AND A LOT OF THESE
MODELS OVER MANY YEARS WE FOUND
NEARLY ALL PUBLISHED MODELS
DON'T WHEN YOU GO TO THE PAPER
YOU DON'T GET WHAT THE MODEL IS
INTENDING TO DO.
IT'S JUST IMPOSSIBLE TO WRITE
THE MODELS WITHOUT TYPO
GRAPHICAL ERRORS.
SO WHAT WE WERE TRYING TO DO WAS
WORK WITH THE AUTHORS TO MAKE
THE MODEL TO THE COMMUNITY IN A
CURATED STANDARDIZED FORM AND
THAT'S HELPFUL BECAUSE PEOPLE
ARE KEEN TO HELP.
THESE MODELS SOME SHOWN HERE
COME FROM RIGHT ACROSS THE
SPECTRUM OF BIOLOGICAL MODELLING
AND FROM GROUPS ALL AROUND THE
WORLD BASED ON PUBLISHED PAPERS.
AS WE DID THIS MORE WE FOUND
WHILE THE MODELS ARE
REPRODUCIBLE THEY DIDN'T OBEY
THE LAWS OF PHYSICS.
WHEN YOU WENT TO USE THEM IN A
MULTISCALE SENSE IT WAS HARD TO
ENSURE THEY CONSERVED ENERGY AND
WE WENT BACK TO THE DRAWING
BOARD AND THOUGHT HOW DO WE
PROVIDE INFRASTRUCTURE FOR
HANDLING THE PHYSICS OF A LOT OF
THESE MODELS MORE ROBUSTLY THAN
DONE BEFORE.
THAT WAS PARTLY THE MOTIVATION
FOR THE PHYSIOME JOURNAL AND TO
CREATE LIBRARIES OF REUSABLE
COMPONENT WHICH IS ARE
GUARANTEED TO SOLVE THE PHYSICS
AT THEIR APPROPRIATE SPATIAL
SCALE.
AND I'LL TALK ABOUT MODELS AND
TALK ABOUT DISTRIBUTED AND
SPATIAL PE MODELS AND THE IDEA
OF THE PHYSIOME JOURNAL IS TO BE
INTERACTIVE TO INTERACT WITH THE
MODELS AND SOME OF THE PAPERS
PUBLISHED BELOW.
I THINK WE NEED A MASS PHYSICS
FRAMEWORK TO LINK THEM ACROSS
ALL SCALES AND A FRAMEWORK FOR
THE MASS, CHARGE, ENERGY,
ETCETERA.
HERE'S THE FRAMEWORK DOES EXIST
AND IT'S ZERO DIMENSIONAL AND
BONE GRAPH -- BOND GRAPHS AND
IT'S THE LOGICAL WAY TO ENSURE
THE PHYSICS ARE SOLVED.
THEN I WANT IT TALK ABOUT BONE
GRAPH MODELS AND TAKE A MUCH
MORE SYSTEMATIC APPROACH TO MAKE
SURE WE HAVE ALL PROTEINS
DEFINED IN THE FORM WITH THE
PHYSICS IS DEFINED AND PROPERLY
UNDERSTOOD AND LINK IT TO FOR
EXAMPLE THE REACTOME AND THEN I
WANT TO TALK HOW YOU MOVE
UPSCALES TO FUNCTIONAL TISSUE
UNITS I'LL EXPLAIN THAT AND
FUNCTIONAL CONNECTIVITY AND TO
THE WORLD OF PARTIAL EQUATIONS
AND ORGAN SCAFFOLDS AND I'LL
EXPLAIN THAT AND WHOLE BODY
MODELS.
A.I. REDUCING MODELS IN THEIR
COMPLEXITY USING PHYSICS
CONSTRAINED A.I. IS CRUCIAL TO
THE SURROGATE MODELS.
WE DO THIS AND OTHER OF COURSE
AND SYSTEMS PHYSIOLOGY PLAYS A
HUGE ROLE IN HOMEOSTASIS AND
BOND GRAPHS HAVE A BIG ROLE IT
PLAY THERE.
THEN I THINK WE NEED TO CONFRONT
THE ISSUE OF A SINGLE KNOWLEDGE
BASE PROBABLY AGENTS AS PROPOSED
BUT IT'S REALLY CRUCIAL THAT
THINGS ARE PROPERLY LABELLED AND
REPRODUCIBLE AND AVAILABLE,
ACCESSIBLE.
ALL THIS IS GOING TO REQUIRE
SUBSTANTIAL INVESTMENT IN NEW
INSTRUMENTATION AND NEW SOFTWARE
ENGINEERING APPROACHES.
YOU ALWAYS START AND NEW SCIENCE
STARTS WITH INSTRUMENTS AND
DEVELOPING A NEW INSTRUMENT AND
YOU NEED THE MODEL TO DEAL WITH
THE COMPLEXITY OF THE DATA
COMING FROM THE EXPERIMENTS BUT
THE STARTING POINT IS OFTEN THE
INSTRUMENTS.
I WANT TO TALK ABOUT BONE
GRAPHS.
AND IT STARTED WITH HANK PAINTER
AT MIT IN THE '50s AND '60s, A
MEMBER OF SEVERAL MIT
DEPARTMENTS AND WANTED TO TALK
HIS COLLEAGUES ACROSS THE
DEPARTMENTS.
YOU LOOK AT ENERGY AND POWER AND
POWER IS CONSERVED.
SO IF YOU HAVE BONDS THE
MECHANISM FOR TRANSMITTING
ENERGY, THE TWO VARIABLES YOU
WANT TO ASSOCIATE WITH THE BOND
ARE THE POTENTIAL, THE VOLTAGE
AND THE FLOW OF SOME SUBSTANCE
THE CURRENT OR COULD BE A
MOVEMENT OR FLUID FLOW IN
MECHANICS OR MOLD FLOW IN A
CHEMICAL CASE.
SO YOU ALWAYS HAVE A DRIVING
FORD AND FLOW I SPOT IN THE RED
COLOR.
FOR THE DISCREET CASE, EACH BOND
WILL CARRY ITS INDEPENDENT
VALUES FOR THOSE QUALITIES.
OFTEN YOU HAVE A COLUMN VOLTAGE
FORCE, CHEMICAL POTENTIAL,
WHATEVER IT IS.
HAVE YOU A COMMON ONE AT THE
CENTER OF THOSE CONNECTING
BONDS.
SO IF YOU TAKE THE U OUT OF THAT
POWER EXPRESSION YOU'RE THEN
GOING TO GET YOU TAKE THE U OUT
SIDE THE SUMMATION OF MASS OR
CONSERVATION OF CHARGE AND IF
YOU HAVE A ONE NODE AND TAKE THE
V OUT THE FRONT AND THEN THAT
REDUCES YOU TO A CONSERVATION OF
ENERGY STATEMENT.
SO IN THE SINGLE POWER
EXPRESSION YOU'VE GOT ALL THE
CONSERVATION LAWS OF PHYSICS
DEPENDING ON THE QUANTITY YOU'RE
DEALING WITH.
SO IF YOU THINK ABOUT THE
QUANTITYIES AND YOU GET MOLS PE
SECOND.
AND WHEN YOU LOOK AT ENERGY
STORAGE ALL THE STORAGE
MECHANISMS ARE ALMOST THE SAME.
YOU EITHER HAVE MECHANICAL
STRING OR CHEMICAL SOLUTE
THEY'RE ALL STORING THE ENERGY
IN A SLIGHTLY DIFFERENT FORM BUT
ESSENTIALLY OBEYI II IING THE
RELATIONSHIP AND HAVE SIMILAR
CHARACTERISTICS EXCEPT FOR
CHEMICAL.
ONE OF THE EXAMPLES AND THE LAST
EXAMPLE TO USE FOR THIS IS A
LOUD SPEAKER SYSTEM.
IF YOU COUPLE A SYSTEM THE BOND
GRAPH IS EXTREMELY SIMPLE.
YOU HAVE A FLOW NODE RESPOND OF
REPRESENTING THE ROLE FOR THE
ELECTRICAL SYSTEM IN THE CASE OF
MECHANICS THE ONE NODE BECOMES
FORCE BALANCE AND THE COUPLING
BETWEEN THEM USES SOMETHING
CALLED A TRANSFORMING FACTOR AND
OUT POP AN YOU GET THE FORCE FOR
THE ACTUATOR.
SO IT'S A BEAUTIFUL WAY OF VERY
SIMPLY CAPTURING ENERGY FLOWS
BETWEEN DIFFERENT MECHANISMS.
AND PHYSIOLOGY IS CHARACTERIZED
BY HAVING ALL MECHANISMS
AVAILABLE TO NATURE.
EVERY PROBLEM YOU LOOK AT.
IF YOU'RE LOOKING AT CARDIAC
MECHANICS OR TISSUE, RATHER, YOU
HAVE ELECTRICAL CURRENT FLOW
BECAUSE IT'S CHARGED AND
ACTIVATION OF THE TISSUE AND YOU
HAVE MECHANICS AND THE ENERGY
CONSUMPTION AND BIO CHEMISTRY,
ETCETERA.
EAT -- HEAT GENERATION.
YOU HAVE ALL THE AREAS OF
PHYSPHYSIC
S ENERGY PRESENT IN EVERY
PHYSIOLOGICAL PROCESS AND NEED
TO THINK OF ENERGY FLOW BETWEEN
THE PROCESSES AND BOND GRAPH IS
AN OBVIOUS AND SIMPLE WAY OF
DOING IT.
IN THE CASE OF THE ENZYME
CATALITE 3 ACTION THERE'S A
SLIGHT CHANGE IN THE REACTION A
2 NODE ELEMENT BECAUSE THEY
DEPEND SEPARATELY ON THE
CHEMICAL POTENTIALS AT EACH END
OF THAT REACTION BUT YOU CAN
EASILY SHOW WITH THE ASSUMPTIONS
IMPLICIT THIS DROPS DOWN TO
MECHANO AND THE PROPER WAY OF
FORMULATING THE CATALYZE
MECHANISM IS WITH BOND GRAPHS IN
APPROXIMATION.
IF YOU GO TO THE CONTINUUM
PROBLEM THE SAME THING HAPPENS
BUT NOW WITH WHAT A CALL PORT
HAMILTONIANS AND IT'S THE ZERO
VERSION OF THIS AND YOU NEED ONE
OTHER CONCEPT WHEN YOU GO TO THE
CONTINUUM CASE THE SKEWED MATRIX
AND YOU GET BEAUTIFUL
RELATIONSHIPS POPPING UP THAT
ALLOW YOU TO DEAL WITH THE WHOLE
WORLD OF CONTINUUM MECHANICS
DIVIDED INTO THE THREE AREAS OF
MECHANICS FLOW AND ENTROPY AND
MOLES FOR HEAT FLOW REACTION
DIFFUSION OR ELECTROMAGNETICS
WITH A SMALL NUMBER OF
CONSTITUTIVE WORLD AND THERE WAS
WORK DONE THAT SHOWS A COUPLE
PORT HAMILTONIANS AND BOND GRAPH
MODELS.
AND WE HAVE WORKED ON THE BOND
GRAPH TO MAKE SURE THEY WERE
SATISFIED AND WE LOOKED AT THE
GLUCOSE TRANSPORTERS, PH
CONTROL, RENAL TUBULE RECEPTORS
AND TRANSPORTERS AND IT'S FAIRLY
STRAIGHTFORWARD TO GO THROUGH
THE MODELS AN POP THEM IN A FORM
WHERE YOU'RE GUARANTEED TO
SATISFY THE LAWS OF PHYSICS.
I WANT TO ILLUSTRATE THIS AND
WE'RE WORKING WITH THE WESTERN
GROUP ON TRANSPORTERS OF ABOUT
158 GENES IN 65 FAMILIES AND
THEY DEPEND ON 30 OR 40
TRANSPORTER MECHANISM.
WE CAN CHARACTERIZE ALL THE
MECHANISMS IN BOND GRAPHS AND WE
CAN APPLY WITH THE APPROPRIATE
LIGAND TO THE TRANSPORTER
FAMILY.
WHAT WE'RE DOING IS MODELLING
THE BOND GRAPH IN THIS CASE FOR
THE SCLA21 TRANSPORTER AND
GETTING THE REDUCED MODEL AND
PLUGGING IT IN TO THE CELL MODEL
I'LL TALK ABOUT IN A SECOND BUT
ALSO DEALING WITH CITY STATE
FLUX CONDITIONS AND CAN FIND THE
STEADY STATE AND PLUG IT IN THE
TRANSPORTSER AND IF WE CAN
CREATE THE TRANSPORTER PROTEINS
AND NOW THANKS TO ALPHA WE HAVE
THREE WHY DON'T WE DOWNLOAD THE
3-D STRUCTURE OF THE PROTEINS
AND DO MOLECULAR MODELLING TO
FIND STEADY STATE CONDITIONS AND
THIS IS USING A TECHNIQUE CALLED
UMBRELLA SAMPLING AND THIS IS ON
THE RIGHT HAS BEEN DONE BY ONE
OF MY POSTDOCS AND SHOWS THE
GLUCOSE MOLECULE IN VARIOUS
STAGES AND THEY'RE JIGGLING
AROUND AND TAKING SHOTS AS IT
MOVES THROUGH THE CHANNEL.
AND CAN WE IN FACT USE MOLECULAR
MODELLING TO DEFINE THE
PARAMETERS UNDER THE STEADY
STATE CONDITIONS SO WE DON'T
HAVE TO DO ALL THE AS MUCH
EXPERIMENTAL ON THE PROTEINS AND
IF YOU CAN DO THAT YOU HAVE THE
GENETICS OF THAT'S BEEN USED TO
PREDICT THE FOLD IN THE ALPHA
FOLD PROCESS.
SO HERE'S THE PLAN FOR THAT
NIDDK PROJECT WITH CASE WESTERN
AND UCSD AND WE WOULD LIKE TO
SEE IF WE CONDITAN BRING IN SAM
METHODS TO PREDICT THE BONE
GRAPH MODELS FROM GOING BACK TO
GENE SEQUENCE.
WHETHER THAT WILL BE POSSIBLE
I'M NOT SURE BUT IT'S WORTH A
TRY.
SO THEN I WANT TO MOVE TO WHOLE
CELL MODELLING.
ONCE HAVE YOU ALL THESE BOND
GRAPHS FOR ALL THE PROCESSES
THAT GARNER THE CELL WHY WOULD
YOU COUPLE THEM SEMANTICALLY AND
INTO A WHOLE CELL MODEL THAT
APPLIES TO ANY CELL, ANY TISSUE
TYPE AND YOU PULL OUT WHAT YOU
NEED FOR THAT PARTICULAR TISSUE
CELL TYPE BASED ON SEMANTICS.
THAT'S WHAT WE'RE NOW TRYING TO
DO AND USING THE IDEA THAT THE
BOND GRAPH FRAMEWORK GIVES A
NICE WAY OF CHARACTERIZING THE
VARIOUS EQUATIONS THAT DEAL WITH
THE MOBILE SUBSTANCES SOLUTE AS
YOU BUILD THE WHOLE CELL MODEL
YOU WANT.
THE BOND GRAPH LENDS ITSELF WELL
TO AUTOMATE THE PROCESS OF
CONSTRUCTING WHATEVER MODEL YOU
NEED FOR A PARTICULAR WHOLE SELL
MODEL AND SOLVING THOSE BUT IT
NEEDS TO BE LINKED WITH REACTOME
TO MAKE SURE THERE'S A GOOD
CONNECTION WITH THE BIOLOGICAL
WORLD OF WHAT'S GOING ON IN
THOSE CELLS.
WANT TO TALK ABOUT THE BIGGER
ORGAN CELLS AND THE FUNCTIONAL
TISSUE UNIT.
WE WANT TO TALK ABOUT THE BOND
GRAPH CELL MODELS AND KNOW WE
CAN DO MODELLING OF ORGANS FOR
THEIR PHYSICS FOR A WHOLE ORGAN
BUT WE NEED TO BE FOCUSSED, I
THINK, ON WHAT IS REALLY THE
HARDEST PROBLEM AND THAT IS THE
DEFINITION OF THE FUNCTIONAL
TISSUE UNITS THAT CHARACTERIZE
PHYSIOLOGY WHERE IT EMERGES FROM
CELL BIOLOGY AT THE SUB
MILLIMETER SCALE.
OSTEOIN THE BONE AND IN THE
KID
KIDDY NEPHRONETS AND WE NEED A
METHOD TO DEAL WITH THE CELL
TYPES THAT EXIST IN THE
STRUCTURES BECAUSE THE ORGAN IS
SCALING UP IF YOU'RE A KIDNEY IN
A MOUSE YOU HAVE 100,000 NEPHRON
AND WE HAVE TO HAVE THEM WELL
DEFINED AND LINKED TO CELLULAR,
MOLECULAR BIOLOGY AND CAN SCALE
THEM UP UNDER WELL UNDERSTAND
TECHNIQUES TO PUT IN THE CONTEXT
OF WHOLE ORGANS AND TO THE WHOLE
BODY.
SO ONE OF THE PROJECTS I'M
INVOLVED WITH IS THE NIH SPARK
PROJECT A COMMON FUND PROJECT
AND A GROUP AT UCSD AND PENN AND
A GROUP IN SWITZERLAND AND US
DOING THE MAPPING WORK.
IT'S BEEN AN EFFECTIVE WAY OF
BRINGING THE GROUPS TOGETHER TO
FOCUS ON THE AUTONOMIC NERVOUS
SYSTEM AND WE LOOKED AT THE
ORGANS FOR A VARIETY OF SPECIES
DEALING WITH THE DETAILED
ANATOMY OF THE NEURAL PATHS AND
DEALING WITH THE PROCESS OF
PUTTING THOSE NEURONS WHERE WE
HAVE DATA ON THE NEURONS IN
TISSUE SUCH AS CARDIAC ONE SHOWN
HERE.
WE CAN EMBED THEM TO 3-D
ENVIRONMENTS.
PART OF WHAT WE NEEDED TO DO IS
CREATE A FUNCTIONAL CONNECTIVITY
MAP WHERE WE ALLOW THE ORGAN
SYSTEMS OF THE BODY, ALL 12
ORGAN SYSTEMS, WE DEFINED ALL
THE ORGANS WITHIN THE ORGAN
SYSTEMS AND DEFINE THOSE FTUs
THAT ARE RELEVANT FOR THAT ORGAN
AND DEFINE ALL OF THEM IN A
SINGLE ZOOMABLE STREET MAPS TYPE
ENVIRONMENT TO LAY ON THE SEM
ANTAN
ANTIC -- SEMANTICS AND LAY THE
OTHER SYSTEMS LIKE LYMPHATIC AND
SOMATIC MUSCLE CONTROL BUT HAVE
ONE ENVIRONMENT THAT JUST
DEFINES ALL THE SEMANTICS AND
CONNECTIVITY THAT CAN BE LINKED
OUT TO DATABASES AND USED FOR
THEN AUTOMATICALLY RENDERING TO
DIFFERENT ENVIRONMENTS.
AND SO HERE'S THE OTHER PART OF
THIS IS THE DEVELOPMENT OF THE
3-D SCAFFOLDS FOR EMBEDDING
NEURONS TO ORGANS.
WE DEVELOPED HIGH SCAFFOLDS OF
HEART, LUNGS, OTHER ORGANS.
OFTEN THEY'RE BUILT ON SUB
STRUCTURES AND THERE'S A COLON
STRUCTURE THAT WORKS ACROSS
SPECIES AND YOU DEFINE THE
CENTER LINE OF THE SPECIES AND
YOU THEN RECONSTRUCT THE FULL
SCAFFOLD FOR A GIVEN SPECIES
WITH COMMON UNDERLYING SCAFFOLDS
AND HAVE WORKED WITHOTHERS TO
REGISTER THE DATA FOR MULTIPLE
SPECIES INTO A SINGLE
ENVIRONMENT FOR VARIOUS ORGANS.
AND LOOKING AT THE SAME THING
FOR THE WHOLE BODY.
I'VE BEEN ABLE TO DEFINE
SCAFFOLDS FOR THE ORGANS OF THE
BODY AND BY HAVING A 3-D
COORDINATE SYSTEM BEING ABLE TO
POSITION THE SCAFFOLDS
AUTOMATICALLY IN THE APPROPRIATE
PART OF THE BODY ALGORITHMICALLY
TIED TO THE COORDINATES.
IT'S GOT A LONG WAY TO GO BUT
IT'S STARTING TO GET QUITE A BIT
OF THE ANATOMY OF THE BODY.
AND THEN WE CAN USE THE FC MAPS
FOR EXAMPLE FOR LAYING OUT THE
VASCULATURE AND WE CAN CREATE
THE BONE GRAPH MODELS FOR
SOLVING THE FLUID EQUATIONS FOR
THE CIRCULATION.
THEN BE ABLE TO VISUALIZE
PRESSURES AND FLOWS IN ANY
POSITION.
THESE ARE REAL-TIME MODELS.
THEY'RE NOT AS ACCURATE AS A
FULL 3-D SOLUTION BUT THEY GET
PRETTY CLOSE FROM A PRACTICAL
CLINICAL POINT OF VIEW THEY'RE
GIVING US GOOD COMPARISONS FOR
3-D ANALYSES.
I WANT TO INDICATE WHERE I THINK
THIS IS HITTING.
IN A SENSE IT'S THE PHYSIOME
MORPHING INTO A VIRTUAL DIGITAL
TWIN OR VIRTUAL DIGITAL HUMAN
TWIN YOU WANT A WHOLE BODY MODEL
AND WANT IT TO BE PHYSICS BASED
AND NEED MECHANISM IN THERE BUT
A.I. IS CRUCIAL OFTEN FOR
SURROGATE MODELS BUT IT MEANS
AND YOU FOR THE VIRTUAL HUMAN
TWIN YOU'RE TRYING TO
PERSONALIZE IT AND WANT THE
WHOLE BODY MODEL TO BE FILLED
WITH PARAMETERS FROM A GIVEN
INDIVIDUAL AS WELL AS BUILDING
UP POPULATIONS OF VIRTUAL
MODELS.
THE FRAMEWORK WE'RE TRYING TO
DEVELOP AND IT NEEDS A MAJOR
INTERNATIONAL EFFORT AROUND
THOSE.
BUT IT'S TO SAY YOU USE ENERGY
PRESERVING METHODS ALL THE WAY
THROUGH AND BOND GRAPHS AT THE
BOTTOM, DEVELOP GENERAL
WHOLESALE MODELS THAT EXPLOIT
THAT AND THE ABILITY TO CREATE
THESE AND THE HARDEST PROBLEM OF
ALL IS THE FTUs TO FIND WHERE
MOLECULAR CELL BIOLOGY REDUCE TO
CELL BIOLOGY AND THE TECHNIQUES
IS OFTEN ASSOCIATED WITH A
CONSTITUTIVE MODEL AND THEN WHAT
YOU'RE DOING IS BRINGING DATA IN
AT DIFFERENT LEVELS FROM A
MEDICAL PERSPECTIVE YOU'RE ABLE
TO BRING GENETIC CELL BIOMARKERS
AND BIOMARKERS, FOR EXAMPLE.
IT'S NOT UNREASONABLE TO ASSUME
WE'LL HAVE ALL THE BLOOD
COMPONENTS BEFORE TOO LONG.
THERE'S ALL SORTS OF TECHNIQUES
BEING DEVELOPED TO BE ABLE TO
SAMPLE BLOOD AND GIVE A MORE
REALISTIC PICTURE OF WHAT'S
GOING ON IN A CLINICAL SETTING
AND WE NEED TO TAKE ADVANTAGE OF
THE HIGH-SCALE DATA AND USE
MODELS THAT PROPERLY
PARAMETERIZE FOR AN INDIVIDUAL
THE DATA THAT'S GOING TO BE
AVAILABLE FOR INDIVIDUALS.
BUT WITHIN A FRAMEWORK WHERE YOU
CAN REALLY HAVE CONFIDENCE THAT
YOU'RE CORRECTLY SOLVING THE
PHYSICS RIGHT UP THROUGH THESE
SCALES INCLUDING UP TO THE LEVEL
OF INTERPRETING CLINICAL IMAGES
OF THE SCALE AND ALSO
PHYSIOLOGICAL FUNCTION TESTS YOU
WANT TO DO AS WELL AND ALL THIS
HAS TO PLUG INTO CLINICAL WORK
FLOWS OF COURSE.
THERE'S A COLLABORATION GOING ON
TO FIND WHAT THE CLINICAL WORK
FLOWS WOULD LOOK LIKE IF YOU'RE
BRAIN MODELS INTO THAT CLINICAL
DECISION MAKING AND THERAPEUTIC
FRAMEWORK.
SO THE WORK I'VE TALKED ABOUT I
WANT TO ACKNOWLEDGE LOTS OF
PEOPLE AT ABI IN AUCKLAND AND
THE PEOPLE SHOWN HERE AND DAVID
NICKERSON WHO IS ALWAYS A KEY
PERSON FOR TYING A LOT OF THIS
TOGETHER AND THANKS TO FUNDING
THE NEW ZEALAND GOVERNMENT HAS
THE 12 LABORS PROJECT AND THE
SPARC PROJECT THAT FUNDS US IN
AUCKLAND.
AND THE NIDDK FAIR DOs PROJECT.
THANK YOU.
>> WELL, THANK YOU, PETER FOR
THE VERY THOUGHT PROVOKING WAY
TO START OUR SECOND DAY.
AGAIN, TODAY'S FOCUSSED ON THE
FUTURE I THINK THAT WAS A GREAT
TALK TO GET US STARTED.
SO FOR THE NEXT SESSION, WHICH
IS THE IMAG ROUNDTABLE WE WOULD
LIKE EVERYONE WHO WILL BE
PARTICIPATING TO COME ON UP AND
WHAT WE'LL HAVE IS EACH OF YOU
WILL HAVE ABOUT A MINUTE TO TALK
ABOUT YOUR INITIATIVE AND WE'LL
FLASH YOUR SLIDE SO COME FORWARD
AND WE HAVE FOLKS JOINING
REMOTELY AS WELL.
FOR EVERYONE ELSE, PLEASE CHECK
THE WIKI, WILL -- WHICH WILL
HAVE DETAILS ON EACH OF THESE
INITIATIVES.
WE'LL HAVE EACH PERSON BRIEFLY
PRESENT THE INITIATIVE.
THE GOAL AGAIN IS NOT TO BE
EXHAUSTIVE BUT JUST TO INTRODUCE
YOU TO THE INITIATIVES AND THEN
WE'LL HAVE ROUNDTABLE
DISCUSSION.
FIRST WENDY.
>> CAN EVERYBODY SEE THE ORDER?
WE'RE GOING TO LIMIT EACH PERSON
TO A MINUTE SO WE'LL RING THE
BELL.
>> I'LL STAY HERE AND MAURICIO
IS NEXT AND EMILY IS ON REMOTE.
>> I'LL MENTION THE MPH AND THEN
WE'LL HAVE STEPHANIE AFTER THAT
AND THEN WE HAVE SOFTWARE DRIVEN
INITIATIVES, WE'VE GOT JOSH
GOING TO BE REMOTE AND EMILY
REMOTE AND STEPHANIE.
WE HAVE LAY NA.
AFTER THAT, DAVE AND
EXPERIMENTAL-DRIVEN INITIATIVES
WILL BE REED AND THEN DAVE.
DO WE HAVE THE ORDER?
>> REED IS IN THE BACK ROOM SO
WE WON'T SEE HIS FACE BUT YOU
CAN SHARE YOUR COMPUTER AND WE
CAN SEE YOU ON SCREEN.
THE DECK IS ON THE WIKI AND YOU
CAN PULL UP THE DECK EVERYONE'S
PRESENTING FROM AND ALL THE
EXTRA INFORMATION IS THERE AS
BRUCE SAID.
EVERYBODY IS BASICALLY
PRESENTING ONE SOUND BITE TO GET
YOU TO LOOK AT THE INITIATIVE IN
THE WIKI AND POST QUESTIONS ON
THE WIKI PAGE.
GO TO SESSION 2.1 AND POST YOUR
QUESTIONS HERE BELOW.
WE'LL JUMP TO THE SLIDES.
OKAY.
>> WHO KNOWS HOW TO MAKE THE
GOOGLE DOC BIGGER?
JOSHUA, EMILY AND NICOLE CAN YOU
HEAR US?
ALL RIGHT, FIRST UP IS WENDY.
YOU HAVE ONE MINUTE.
ELEVATOR SPEECH.
>>
[OFF-MIC]
>> OBVIOUSLY WE CARE ABOUT THE
ISSUES IMAG COMES WITH AND
THERE'S MANY INITIATIVES.
I'LL TELL YOU ABOUT BUT NEITHER
IS ACTIVE BUT STAY TUNED.
THEY'RE BOTH IMPORTANT
INITIATIVES.
A.I. INSTITUTES.
THESE ARE MODELLING SIMULATION.
IT'S AN IMPORTANT INITIATIVE AND
LARGE AWARDS OF $20 MILLION AND
TRYING TO BECOME A NEXUS IN THIS
AREA.
IT'S ALL FUNDAMENTAL SCIENCE.
THE GOAL IS TO REALLY BRING
TOGETHER COMMUNITIES TO DRIVE
THIS FORWARD TO THE NEXT STAGE.
.
>> MORE SLIDES ARE IN THE DECK?
THE MORE IMPORTANT IS THE SMART
HEALTH INITIATIVE LOOKING AT
COLLABORATIVE TEAMS COMING
TOGETHER AND WORK IN THIS
COMPUTATIONAL AREA.
IT'S AN EXCITING INITIATIVE AND
NOT ACTIVE AT THE MOMENT BUT
STAY TUNED.
IT'S AN IMPORTANT INITIATIVE.
>> I'M FROM THE NATIONAL SCIENCE
FOUNDATION FROM THE DIVISION OF
MATHEMATICAL SCIENCES.
WE HAVE ALSO RIGHT NOW THE
ACTIVE ON THE MATHEMATICAL
FOUNDATION OF A.I. AND MACHINE
LEARNING TECHNIQUES.
>> GREAT.
NEXT.
>> I'M NEXT UP.
I'M JUST SHOWING THE SLIDE ABOUT
THE NIH BRIDGE TO A.I. PROGRAM.
I WANTED TO HIGHLIGHT HOW BRIDGE
TO A.I. FITS WITHIN THE
DISCOVERY PIPELINE.
THE BRIDGE TO A .I. IS ALL ABOUT
DATA PREPARATION.
IT'S NOT ABOUT MODEL DEVELOPMENT
OR MODEL EVALUATION.
IT'S USING THE ENTIRE PROGRAM TO
CREATE ETHICALLY SOURCED DATA
FROM DIVERSE SOURCES.
WHAT'S THAT MEAN?
WE HAVE APPROPRIATE TEAMING AND
ETHICS AND STANDARDS AND TOOLS
AS WELL AS DATA ACQUISITION.
THE THREE PILLARS ARE PEOPLE,
ETHICS AND DATA.
I WANT YOU TO REMEMBER THOSE
THREE THINGS.
PEOPLE MEANS DIVERSITY.
WE'RE DOING A CHALLENGE.
IT'S A VERY CHALLENGING TO BE
DIVERSE.
IN OUR RESEARCH TEAMS, IN OUR
RESEARCH COHORTS, IN OUR
RESEARCH METHODOLOGIES AND
TRYING TO DO TEAMING AS BEST WE
CAN WITH THIS VERY COMPLICATED
SOCIAL ORGANIZATION.
ETHICS IS ANOTHER DIFFICULT
CHALLENGE TO THINK ABOUT ETHICS
IN THE SENSE OF CULTURE OF
INQU
INQUIRING THE PROCESS AND HOW
THE PROTOCOL INTENDS AND HOW YOU
PUT IT INTO A DUMB MACHINE TO
UNDERSTAND.
HOW WOULD YOUR MACHINE LEARNING
MODEL UNDERSTAND THE PARAMETERS
INVOLVED IN THE PROTOCOLS
ETHICALLY?
AND FINALLY DATA IS ALL ABOUT
CREATING NUTRITION LABELS FOR
THE DATA.
DATA SHEETS AND MODEL CARDS.
HOW IS THAT VERY DUMB MACHINE
GOING TO UNDERSTAND THE DATA AND
ULTIMATELY WE WANT TO HAVE THE
DATA MINED BY ALL OF YOU AS
MODELERS.
SO BRIDGE TO A.I. IS ALL ABOUT
DATA PREPARATION.
IF YOU HAVE ANY QUESTIONS, COME
TO ME.
>> MAURICIO.
>> HE'S NOT HERE I BELIEVE SO
I'LL SAY WHAT I KNOW BECAUSE I
COLLABORATE WITH HIM ON THE
BRAIN INITIATIVE AND KNOW HE'S
VERY INTERESTED IN EXPLAINABLE
A.I. AT THE NATIONAL INSTITUTE
OF HEALTH AND THEY PUT OUT THE
INITIATIVE AND HAVE A NOTICE ON
HAVING EXPLAINABLE ARTIFICIAL
INTELLIGENCE.
MAURICIO IS ONE OF THE BREAKOUT
SESSION LEADERS NUMBER 2 OR THE
MECHANISTIC MACHINE LEARNING
BREAKOUT SESSION.
SO IF YOU'RE INTERESTED IN
LEARNING MORE ABOUT THAT, I
WOULD ENCOURAGE TO GO TO
BREAKOUT SESSION 2 AND TALK TO
MAURICIO.
>> GOOD MORNING.
MY NAME IS ELANA GOLDBERG.
I AM A PROGRAM DIRECTOR --
>> I APOLOGIZE.
I THOUGHT EMILY WAS UP NEXT.
>> I'M A PROGRAM DIRECTOR AT THE
NATIONAL HEART, LUNG AND BLOOD
INSTITUTE AND WE'RE HAVE AN
INTEREST GROUP AT THE IMAG WIKI
PAGE AND IT'S A.I. AND MACHINE
LEARNING FOR DIAGNOSTICS AND
DISEASES.
WHAT WE'RE HOPING TO DO IS GET A
BUNCH OF PEOPLE IN THE FIELD ON
TO THE WIKI, SHARE YOUR IDEAS,
SHARE THE PROJECTS YOU'RE
WORKING ON.
I KNOW WE HAVE A LOT GOING ON
RIGHT NOW IN THE FIELD BUT A LOT
OF ONE-OFF PROJECTS SO SOMEONE
IS DEVELOPING AN APP OR DOING
MACHINE LEARNING TO LOOK AT
BLOOD PHENOTYPING OVER HERE.
WHAT I'M HOPING WE CAN DO IS
JOIN TOGETHER AND COLLABORATE
AND SEE THE BIGGER PICTURE.
HOW CAN WE DEVELOP DATABASES OF
THIS TYPE OF DATA SO IT CAN THEN
BE USED FOR THE MACHINE LEARNING
TRAINING AS WELL AS THE
VALIDATION AND WE ARE USING
SAMPLES FROM ONE BLOOD BANK.
HAS IT EVER BEEN VALIDATED ON
SAMPLES FROM A SECOND BLOOD BANK
AND HOW CAN WE PUT IT ALL
TOGETHER AND TALK AND FORM AN
OVER ALL PICTURE FOR WHERE WE
WANT TO GO AND WHAT ARE STRATEGY
PROJECTIVES ARE FOR MACHINE
LEARNING AND BLOOD DISEASES AND
DIAGNOSTICS AND WE'LL TALK ABOUT
THIS FURTHER A BIT IN BREAKOUT
SESSION 2.
I HOPE YOU'LL COME AND JOIN THE
CONVERSATION AND JOIN THE
INTEREST GROUP ON THE IMAG WIKI.
THANK YOU.
>> YOU CAN FIND THE PAGE ON THE
IMAG WIKI UNDER THE ASK THE
STAFF.
>> THANK YOU.
EMILY.
I BELIEVE SHE'S ON THE ZOOM.
>> CAN YOU HEAR ME IN NATCHER?
>> YES, WE CAN HEAR YOU.
>> OKAY.
GREAT.
SO WHAT THIS INITIATIVE IS IS AN
OPPORTUNITY AT LOOKING AT CANCER
A.I. ACCELERATOR.
WE SEE IT AS AN OPPORTUNITY TO
BUILD TRANS DISCIPLINARY
COLLABORATION FOR APPROPRIATE
USE OF A.I. IN CANCER RESEARCH
AND WE HAVE ENVISIONED THIS NOT
AT A LARGE PROGRAM BUT NIMBLE
AND ADAPTIVE COOPERATION AMONG
INVESTIGATORS IN THIS
FAST-MOVING FIELD.
AS THE FIELD IS FAST-MOVING WE
ANTICIPATE THE ACCELERATOR NEEDS
TO BE CONSTANTLY BE CHANGING IN
GOALS AND ACTIVITIES AS WELL.
WE WOULD LIKE TO APPLY THIS TO
RESEARCH IN CLINICAL PRACTICE
AND ALSO HAVE THE ACCELERATOR
FOSTER INTERACTIONS WITH
RELEVANT ORGANIZATIONS AND
INITIATIVES BEYOND NCI AND
BEYOND CANCER.
THANKS.
>> I'M GOING TO BE TALKING
BRIEFLY ABOUT THE NIH NUTRITION
FOR PRECISION HEALTH.
WE'RE THE AIMING CENTER THE A.I.
CENTER FOR THIS MPH CONSORTIUM
INCLUDING 14 DIFFERENT AWARDS, A
VARIETY OF CLINICAL CENTERS AND
A METABOLOMIC CENTER AND DIETARY
CENTER AMONG OTHER THINGS.
WE'RE ISSUING AN RFA TO SEEK
PRODUCTS THAT USE A.I. AND OTHER
APPROACHES TO FACILITATE
NUTRITION.
THIS IS AN OPPORTUNITY TO BE
AWARDED THE PILOT PROJECT SO
THAT YOU CAN PARTICIPATE IN THE
NUTRITION FOR PRECISION HEALTH
CONSORTIUM WORK.
ALL THE DETAILS ARE LISTED HERE.
THE DEADLINE IS OCTOBER 12,
2023.
AND YOU CAN SCAN THE QR CODE OR
GO TO THAT LINK TO GET MORE
DETAILS ON THE OPPORTUNITY.
THAT WRAPS UP OUR A.I. DRIVEN
INITIATIVES AND WE'RE MOVING ON
TO THE MECHANISM-DRIVEN
INITIATIVES.
THE FIRST OF COURSE IS IMAG AND
MSM AND YOU AND I PUT YOU HERE
BECAUSE I WANT YOU TO FOCUS ON
THE DIFFERENT CATEGORIES WE'RE
TALKING ABOUT AND SEE WHERE
IMAGO AND THE MSM CAN FIT.
WE ARE THE CONSORTIUM FOR
MECHANISTIC MODELS AND YOU'RE
ASKING ME WHERE IS THE NEXT MSM
INITIATIVE.
THESE ARE ALL IMAG INITIATIVES
YOU'RE LISTENING TO.
PAY ATTENTION AND POST YOUR
QUESTION IN THE WIKI.
>> OKAY.
NEXT UP IS SPARC.
[OFF-MIC]
>> A PROGRAM OFFICER AT NCCIH.
I HOPE YOU CAN HEAR ME.
SO STIMULATING PERIPHERAL
ACTIVITY TO RELIEF CONDITION IS
A COMMON FUND PROGRAM AND THE
GOAL IS TO ACCELERATE THE
ADOPTMENT OF IMPROVING
PERIPHERAL ORGAN FUNCTION.
RESEARCHERS DEVELOPED A TOOL TO
MAKE THE COMPLEX HIGHWAYS OF
NERVES THAT SEND SIGNALS THROUGH
ALL OF OUR BODIES.
AND NOW, THE SPARC PROGRAM
BEGINS PHASE 2 TO ADOPT THE
SUCCESS OF PHASE 1 TO DEVELOP
AND SHINE MORE DATA SETS ON
STRUCTURE AND FUNCTION OF
PERIPHERAL NEURAL SYSTEM.
AND TEST NEW THERAPIES TO TREAT
DISEASES SUCH AS HYPERTENSION,
CHRONIC PAIN AND
GASTROINTESTINAL ISSUES AND
PHASE 2 INTRODUCES THE THREE
INITIATIVES ON NERVE MAPPING AND
PHYSIOLOGY AND OPEN SOURCE
NEURAL MODULATION TECHNOLOGIES.
RIGHT NOW SPARC IS IDENTIFYING
THE AFFECT OF NERVE STIMULATION
ON THREE ORGAN SYSTEMS,
CARDIOVASCULAR AND COLLECT THE
DATA FOR 144 INDIVIDUALS.
SO PLEASE VISIT THE SPARC
PORTAL.
YOU CAN SEE OVER HERE THE
WEBSITE FOR THE CREATED DATA
SETS AND MAPS OF NEURAL ORGAN
INTERACTIONS AN COMPUTATIONAL
STUDIES AND MORE AND AVAILABLE
DATA FOR BOOT SCALE MODELLING
LATER ON.
RIGHT NOW SPARC WAS GENERATING
HUGE DATA INCLUDING DIFFERENT
PHYSIOLOGICAL ORGAN SYSTEMS.
>> NEXT UP IS NICOLE.
NICOLE'S REMOTE.
>> HI, HOPEFULLY EVERYONE CAN
HEAR ME.
SO, YEAH, THANKS FOR THE
OPPORTUNITY TO TALK ABOUT THE
ANIMAL TESTING IN THE TOXICOLOGY
SPACE.
WE SUPPORT A CONGRESSIONALLY
MANDATED COMMITTEE INCLUDING THE
NHRCs AND EPA AND FDA AND PRETTY
MUCH EVERY REGULATORY AGENCY YOU
CAN THINK OF.
WE WORK IN THE DIFFERENT AREAS
YOU SEE LISTED ON THE SWLIED SO
IF YOU HAVE -- SLIDE AND IF YOU
HAVE AN INTEREST REACH OUT AND
THE CHEMICAL ENVIRONMENT IS A
RESOURCE THAT HAS A LARGE AMOUNT
OF HIGH-QUALITY CURATED DATA
BOTH FROM LEGACY AND ANIMAL
STUDIES AND ALSO FROM IN VITRO
STUDIES.
WE ANNOTATED THAT DATA TO
MECHANISTIC TARGETS AND
TOXICOLOGICAL MODES OF ACTION TO
SUPPORT BETTER MODELS.
THAT'S THE QR CODE ON THE SLIDE
AND YOU CAN FOLLOW ALONG ONLINE
AND CLICK ON THE LINK THERE AND
VISIT OUR WEBSITE AND OUR
DATABASE AND LOOK AT IN VIVO
EXTRAPOLATION OR
CHARACTERIZATION WORK FLOWS,
ETCETERA.
THAT'S IT.
THANKS.
>> I HAVE TO SAY NICOLE'S
PROGRAM IS WHAT WE'RE SHOOTING
FOR IN IMAG MSM BECAUSE SHE'S
TRANSLATED THE MODELS AND HAS A
CYCLE GOING FROM BIG DATA TO
EXPERIMENTATION.
CONGRATULATIONS, NICOLE.
THANK YOU.
>> THANKS, NICOLE.
NEXT UP WE HAVE STEPHANIE.
>> I'M STEPHANIE GEORGE AT THE
BIO MEDICAL SYSTEMS PROGRAM WITH
OUR ENVIRONMENTAL AND TRANSPORT
SYSTEMS DIVISION WITHIN THE
ENGINEERING DIRECTORATE AT NSN.
OUR CORE PROGRAMS ALSO WELCOME
MULTISCALE MODELING MECHANISTIC
AND YOU CAN SEE THE SLIDE DECK
FOR EXAMPLES INCLUDING MY
PROGRAM AND PROGRAMS LIKE BIO
MECHANICS AND UP HERE I HAVE OUR
COMPUTATIONAL SCIENCE AND
ENGINEERING.
THIS IS A METAPROGRAM YOU CAN
APPLY THESE PROJECTS TYPICALLY
HAVE A MUCH LARGER COMPUTATIONAL
COMPONENT THAN THOSE SUBMITTED
TO THE CORE PROGRAMS.
WE ALSO HAVE SOLICITATION FOR
CYBER INFRASTRUCTURE AND A
SPECIAL COMPUTATIONAL CRCNS FOR
NEUROSCIENCE YOU CAN SEE IN THE
SLIDE DECK.
THANK YOU.
>> THANKS, STEPHANIE.
NEXT UP WE HAVE FREDERICK.
>> I'M FREDERICK.
I RUN THE PROGRAM AT AIR FORCE
OFFICE OF SCIENTIFIC RESEARCH.
I'M A LITTLE BIT OF AN OUTLIER.
MY COLLEAGUE RUNS THE
COMPUTATIONAL MATHEMATICS
PROGRAM USUALLY COMES HERE AND
INVOLVE IN THE MATHEMATICS FOR
DIGITAL TWINS HOWEVER IN MY
PROGRAM I FUND THE ANALYSIS OF
COMPLEX TIMICAL SYSTEMS AND
MULTISCALE AND MULTIPHYSICS IS
IMPORTANT TO MY PROGRAM AND FUND
THE MATHEMATICAL DEVELOPMENT OF
CONTROL THEORY FOR COMPLEX
SYSTEMS.
IF THERE'S ANY QUESTIONS NOW OR
AFTER THIS PANEL, PLEASE LET ME
KNOW.
THANK YOU.
>> THANKS, FREDERICK.
NEXT UP WE HAVE REGINA.
>> I'M THE MATHEMATICS MANAGER
AT THE ARMY OFFICE AND WILL TALK
ABOUT MY PROGRAM AS WELL AS MY
COLLEAGUE WHO COULDN'T BE HERE
TODAY BECAUSE HE'S MOVING BACK
FROM CALIFORNIA TO NORTH
CAROLINA WHERE OUR OFFICES ARE
AS WE SPEAK.
I DO APOLOGIZE FOR THE SLIDES.
I HAD TO FIND SLIDES THAT WERE
ALREADY APPROVED AND PUBLICLY
RELEASABLE AND CHOSE THE BEST OF
WHAT I HAD.
SO OUR OVER ALL MISSION IS TO
FUND THE BEST BASIC HIGH-RISK,
HIGH-REWARD IN OUR VARIOUS
FIELD.
IN MY FIELD OF BIO MATHEMATICS
MY CURRENT AND ONGOING IN THE
PAST THIS IS PAST, CURRENT AND
FUTURE RESEARCH AREAS ARE
BIOLOGY, MULTISCALE MODELING AND
INVERSE MODELLING AND HYBRID
MODELLING.
THESE ARE SUPPOSED TO BE A FEW
FROM A TAB REVIEW WE DID IN
NOVEMBER.
THIS SHOWS THE BREADTH OF THE
DIFFERENT AREAS.
THE AREAS THAT MY PROGRAM WORKS
IN ARE ALL OVER THE MAP.
I DID NOT DECIDE TO FOCUS ON
SPECIFIC APPLICATION AREAS BUT
MORE ON THE FUNDAMENTALS OF BIO
MATHEMATICS AND THE MODELLING.
SO EDWARD GAVE ME INFORMATION.
HIS PROGRAM IS SOCIAL AND
COGNITIVE NETWORKS AND FUNDS
RESEARCH FOCUSSED ON COMMUNITY
COGNITIVE RESILIENCE.
HE FOLKS ON DEPRESSION, ANXIETY,
PTSD, SUICIDAL IDEATION AND PAIN
AND DISINFORMATION AND TPROGRAM
IS BASED ON SCIENTIFIC RESEARCH
AND FOCUSES ON MINDFULNESS AND
HYPNOTHERAPY AND LEVERAGES
METHODS TO EXPLORE AN
INDIVIDUAL'S IMPACT ON AND FROM
THE COMMUNITIES IN WHICH HE OR
SHE IS EMBEDDED.
I WANTED TO MENTION WE HAVE LOTS
OF OTHER PROGRAMS THAT MAY BE OF
INTEREST TO PEOPLE IN THIS
COMMUNITY AND IN PARTICULAR WE
HAVE A COUPLE DIFFERENT PROGRAMS
THAT DEAL WITH A .I. AND MACHINE
LEARNING AND DO LIKE TO WORK
ACROSS TO FUND ACROSS PROGRAMS
FOR INDIVIDUAL EFFORTS OR FOR
WORKSHOPS OR OTHER AREAS OF
INTEREST.
THANK YOU.
>> THANK YOU.
NOW TO THE SOFTWARE DRIVEN
INITIATIVES.
JOSH IS ON HIS REMOTE.
JOSHUA.
>> HI, I'M A PROGRAM MANAGER.
A PROGRAM I'VE BEEN DEVELOPING
SEVERAL YEARS AND HAVE A FEW
YEARS LEFT ON IT THEY WORKED
CLOSELY WITH THE IMAG COMMUNITY
AND FOLKS AUTOMATE IING MODELLI
AND GOES FROM KNOWLEDGE TO
MODELLING AND COMPUTER DESIGN TO
ENABLE MODELERS TO DESIGN
MULTISCALE MODELING AND DATA
WORK AND HAVING ACCESS TO THE
FULL PUBLICATION FROM ADVANCED
DATA AND ETCETERA.
WE'RE CURRENTLY WORKING THROUGH
OUR PHASE 1 RANGING FROM
EPIDEMIOLOGY OF COVID AND
LOOKING AT THE OCEAN AND
APPLYING INGS TO VISUAL POINT
APPLICATION WITH A FOCUS ON
PARTNERSHIP WITH NIH, NCI AND
ARP
ARPA-H.
I'LL LEAVE IT THERE.
>> NEXT ONE IS EMILY.
>> SO THIS SLIDE IS NATIONAL
ACADEMY OF SCIENCE, ENGINEERING
AND MEDICINE CONSENSUS STUDY.
THAT'S BEEN ONGOING FOR CLOSE TO
A YEAR NOW NINE OR 10 MONTH WE
FOUND FOUNDATIONAL GAPS AND
LOOKED AT DIGITAL TWINS.
WE HAVE SEVERAL IMAG MEMBERS WHO
ARE CO-SPONSORING THE STUDY FROM
NIH IS NIAID AND NCI, OFFICE OF
DATA SCIENCE STRATEGY AND NLM AS
WELL AS DOD, NSF AND DOD-DARPA.
THIS IS ACROSS THE MAIN STUDY.
WE'RE LOOKING AT DIFFERENT
SCIENTIFIC AND TECHNICAL DOMAINS
WHERE DIGITAL TWINS CAN BE
APPLIED INCLUDING BIO MEDICAL
SCIENCE AND EARTH SYSTEMS AND
AEROSPACE ENGINEERING.
THE OVER ALL GOALS OF THIS STUDY
ARE TO INVESTIGATE RIGOROUS
METHODS TO MAKE DIGITAL TWINS
SCALABLE.
IN OTHER WORDS, WE WANT TO
START THINKING ABOUT HOW DIGITAL
TWINS CAN BE MORE GENERALIZABLE
AND FOUNDATIONAL ACROSS
DIFFERENT USE CASES AND DOMAINS.
WE'RE ALSO LOOKING AT BEST
PRACTICES AND USE CASES AND
CHALLENGES FOR DEVELOPING
DIGITAL TWINS AT SCALE.
IN THE WINTER, THIS PAST WINTER
THERE WERE THREE WORKSHOPS HELD
IN THESE SPECIFIC DOMAIN AREAS.
ONE OF THE WORKSHOPS THE BIO
MEDICAL WORKSHOP HAS PROCEEDINGS
THAT HAVE RECENTLY BEEN
PUBLISHED.
I'D ENCOURAGE EVERYONE TO LOOK
AT THE STUDY, SORRY, AT THE
WORKSHOP PROCEEDINGS AT THIS
LINK AND AT THE BOTTOM AND THEN
IF YOU WANT TO LEARN MORE ABOUT
THE STUDY IT'S AT THE FIRST LINK
THERE.
AND THE OTHER WORKSHOP
PROCEEDINGS WILL BE PUBLISHED
THERE SOON AS WELL AS EVENTUALLY
THE FINAL CONSENSUS REPORT WILL
BE AVAILABLE THROUGH THE WEBSITE
AS WELL.
THANK YOU.
>> THANK YOU, EMILY.
>> YOU CAN SEE THE STUDY IS
SPONSORED BY THE FOLKS AT IMAGO
AND STEPHANIE, GEORGE AND I.
FRED, DID YOU WANT TO MAKE ANY
EXTRA COMMENTS?
>> THIS IS PROBABLY --
>> THANK YOU, EMILY.
>> NEXT, ELANA.
>> I'M A STAFF FELLOW AT THE
DIVISION OF DIAGNOSTICS, IMAGING
AND RELIABILITY AT THE OFFICE OF
SCIENCE AND ENGINEERING LABS.
AS YOU HAVE HEARD PROBABLY FROM
THE MAJORITY OF THE INITIATIVES
IS THAT WE ALL WANT SAFE AND
EFFECTIVE A.I. THAT WOULD HELP
AND PUT IN MEDICAL DEVICES WE
WILL USE.
WE AT FDA SEE SUBMISSIONS THAT
COME IN.
ONE OF THE RECURRING ISSUES WE
SEE IS THE DEVICES THERE'S NOT
ENOUGH PATIENT DATA TO VALIDATE
THE DEVICES ON DIVERSE
POPULATIONS.
SO THE INITIATIVE I WANT TO
DESCRIBE IS WHAT WE'RE TRYING TO
EVALUATE DEVICES USING VIRTUAL
IN SILICO TOOLS SUCH AS MSM
TOOLS OR DIGITAL TOOLS OR
DIGITAL PHANTOMS.
WE HAVE PROJECTS IN
COLLABORATION START FROM
DEVELOPING DIGITAL PHANTOM WOULD
BE DIGITAL OR PHYSICAL PHANTOMS
USED FOR TESTING A.I. DEVICES
THAT WOULD BE USED BY SMALL
BUSINESSES AND COMPANIES TO
CALIBRATE THEM.
IN PARALLEL WE'RE ALSO
DEVELOPING COMPUTATIONAL TOOLS
FOR IN SILICO TRIALS.
ONE OF THE TOOLS THAT HAVE BEEN
DEVELOPED IN OUR GROUP IS THE
VIRTUAL IMAGING CLINICAL TRIAL
FOR VALIDATION SHOWING IT'S
POSSIBLE TO DO CLINICAL TRIAL
COMPLETELY IN SILICO AND MATCH
THE PATIENT DATA.
AN EMERGING APPLICATION AS WE
SEE A LOT OF THE DEVICES USE
A.I.
HOW CAN WE USE THESE IN SILICO
TOOLS TO MAKE DATA SO YOU DON'T
NEED TO COLLECT PATIENT DATA
INITIALLY TO TEST THEM.
YOU COULD SIMULATE DATA AND
PRETEST THEM WITHOUT HAVING TO
DIRECTLY GO TO PATIENTS FROM THE
START.
GIVEN THESE ACTIVITIES WE'RE
HERE AT IMAG.
WE WANT TO BUILD PARTNERSHIPS
WITH IMAGO AND MSM COMMUNITIES
TO FOSTER THE INNOVATIVE TOOLS
AND PUT THEM INTO PRACTICE AND
HELP DEVELOP SAFER DEVICES.
WE HAVE -- I'M JOINED BY DORNE
CARANZA THE DIRECTOR OF STRATEGY
PARTNERSHIPS AND WE ALSO HAVE A
BREAKOUT SESSION LATER IN THE
AFTERNOON AND WE WOULD LOVE TO
HEAR AND TALK TO YOU.
>> THANK YOU.
DAVE.
>> I'M DAVID MILLER A PROGRAM
DIRECTOR AT THE NATIONAL CANCER
INSTITUTE.
THIS PROGRAM I TCR SUPPORTS
INFORMATICS TECHNOLOGY
DEVELOPMENT SPANNING ALL ASPECTS
AND ALL EXTRAMURAL DIVISIONS
WORK, BASIC CANCER BIOLOGY
PREVENTION AND DIAGNOSIS AND
TREATMENT AND POPULATION
STUDIES.
DON'T BE DISMAYED AT THE
INFORMATICS NAME.
IT'S FUNDED MATHEMATICAL
MODELLING SOFTWARE DEVELOPMENT
AT ALL STAGES OF THE SOFTWARE
DEVELOPMENT LIFE PSYCH FRAL
INITIAL ALGORITHMS TO WHOLE
MODELLING PLATFORMS WITH LARGE
USER COMMUNITIES.
CAN REACH OUT TO ME OR JULIE
CLEN WHO SHOULD BE ON THE SLIDE
HERE AND I'D ENCOURAGE TO YOU
CHECK OUT THE WEBSITE AND LOOK
AT THE HISTORY OF FUNDED
PROJECTS THAT HAVE COME UP
THROUGH THE PROGRAM.
>> THANKS, DAVE.
NOW ON TO THE NEXT CATEGORY,
EXPERIMENT DRIVEN INITIATIVES.
REED.
>> CAN YOU HEAR ME OKAY?
>> YEAH
>> I'M COMING TO YOU FROM THE
BACK OF THE ROOM.
NO NEED TO TURN AROUND.
I WANT TO BRIEFLY TALK ABOUT THE
NIAID SYSTEMS BIOLOGY FOR
INFECTIOUS DISEASE PROGRAM.
THIS IS A COMMUNITY INTEGRATING
EXPERIMENTAL BIOLOGY,
COMPUTATIONAL TOOLS AND
MODELLING ACROSS TIME AND SPACE
TO DEVELOP STRATEGIES THAT
PREDICT AND ALLEVIATE DISEASE
SEVERITY ACROSS HUMAN PATHOGENS.
YOU CAN GO TO THE WEBSITE ON THE
SCREEN TO LEARN ABOUT THE
CURRENTLY-FUNDED CENTERS.
THIS IS AN ONGOING PROGRAM BUT
WHAT I WANT TO HIGHLIGHT IS THAT
THEY ARE ALWAYS LOOKING FOR
COLLABORATORS.
YOU SHOULD REACH OUT TO THE
INDIVIDUALS ON THE WEBSITE AND
ASK ME ABOUT THE SYSTEMS BIOLOGY
CODEATHON IN CHICAGO ON
SEPTEMBER 25 WHERE WE'LL BE
INTEGRATING CLINICAL AND
SINGLE-SELL LUNG TRANSCRIPTOMIC
DATA.
THERE ARE WAYS TO HAVE TRAVEL
SPONSOR FOR INDIVIDUALS
SELECTED.
THANK YOU.
>> IF EVERYONE TURNS AROUND AND
WAVE TO REED HE'S THERE IN THE
BACK OF THE ROOM.
>> THANK YOU.
THEN WE HAVE HANNAH AND ERIC.
>> I'M GOING SPEAK FOR BOTH OF
THEM.
ME, DAVE, AGAIN.
FIRST UP ON THE LEFT SIDE THE
CANCER SYSTEMS BIOLOGY
CONSORTIUM OFFERS AN OPPORTUNITY
FOR ASSOCIATE MEMBERSHIP IN THE
CONSORTIUM TO ANYONE NOT
CURRENTLY FUNDED THROUGH A CSC
AWARD AND THERE'S ELIGIBILITY
CRITERIA AND EXPECTATIONS OF
MEMBERS AND APPLICATION FORM CAN
BE FOUND ON THE WEB PAGE LISTED
ON THE BOTTOM LEFT.
HANNAH IS THE PROGRAM CONTACT
FOR CSBC.
ON THE RIGHT SIDE THE GOAL OF
THE PHYSICAL SCIENCES ONCOLOGY
NETWORK IS TO PROMOTE A PHYSICAL
SCIENCES PERSPECTIVE AND FOSTER
PHYSICAL SCIENCE AND CANCER
RESEARCH BY FORMING TRANS
DISCIPLINARY TEAMS OF PHYSICAL
SCIENTISTS AND CANCER
RESEARCHERS WORKING CLOSELY
TOGETHER TO UNDERSTAND OUR
CANCER BIOLOGY AND ONCOLOGY.
MATH MODELLING AND THE
METHODOLOGIES ARE KEY COMPONENTS
TO ALL THESE AWARDS AND ERIC IS
THE CONTACT AND HE'S HERE IN THE
ROOM TODAY ON THE RIGHT SIDE
WITH HIS HAND UP.
>> ALL RIGHT.
THANKS, DAVID.
>> WENDY'S EXTRA SLIDE.
ALL THE EXTRA SLIDES ARE HERE.
YOU GUYS CAN GO TO THE WIKI.
>> WE'VE GOT LOTS OF EXTRA
INFORMATION ON THE WIKI.
ONCE AGAIN, CHECK THE WIKI FOR
ADDITIONAL INFORMATION.
SO, WE CAN SEGUE TO THE SECOND
PART OF OUR ROUNDTABLE WHICH IS
BASICALLY ASKING QUESTIONS AND
GENERATING DISCUSSION.
SO I WANTED TO START OFF BY
ASKING EVERYONE A GENERAL
QUESTION.
IT LOOKS LIKE THERE'S A MIXTURE
OF ACTIVE POSSIBILITIES WHERE
RFAs, CALL FOR APPLICATIONS AND
EXISTING PROGRAMS UNDERWAY.
I GUESS WHEN IT COMES TO THE
ACTIVE APPLICATIONS, ONE CONCERN
OFTEN WITH MULTISCALE MODELING
IS THE WORD OR TERM MULTISCALE
MODELING IS NOT ACTIVELY CALLED
OUT MANY TIMES IN THESE CALLS.
WHAT TYPES OF STRATEGIES SHOULD
WE USE IF SOMEONE IS A
MULTISCALE MODELER TO PUT
TOGETHER A PROPOSAL OR MAYBE
CONTACT THE PROGRAM OR THE
IMPORTANCE FOR NEED FOR
MULTISCALE NEED WITHIN THE
INITIATIVE AND WANT TO OPEN IT
UP TO ANYONE ON THE PANEL TO
OFFER ADVICE.
IF MULTISCALE MODELING IS NOT
ACTIVELY CALLED OUT IN YOUR
PROGRAM, HOW DOES ONE GET
INVOLVED?
>> SOME PATIENTS ARE SPECIFIED
WHEN WE LOOK FOR MONTHS AND
FOUNDATION OF MACHINE LEARNING
APPROACHES INCLUDING MULTISCALE
MODELING.
BUT FOCUS MORE ON THE BIOLOGICAL
SYSTEMS.
THOSE ARE IMPORTANT TOPICS FOR
OUR PROGRAM.
>> FOCUS ON THE SCIENCE AND IT
DOESN'T MATTER.
WE'LL HELP YOU FIND THE HOME FOR
IT.
>> I'LL SPEAK FOR NIH.
I'VE ALWAYS MENTIONED NIH IS
BASED ON A SUPPLY AND DEMAND
MECHANISM.
THE MORE MULTISCALE MODELING YOU
SUBMIT THE MORE THE STUDY
SECTIONS WILL HAVE TO BE CREATED
THE MORE THEY'LL RECRUIT YOU ALL
TO BE REVIEWERS AND THE MORE YOU
CAN MAKE MULTISCALE MODELING AT
THE NIH THE NATURAL WAY.
YOU DON'T HAVE TO RESPOND TO ANY
INITIATIVE.
YOU CAN JUST COME TO THE PARENT
ANNOUNCEMENTS AND JUST COME IN
AND THE MORE YOU COME IN THE
MORE IT WILL INCREASE THE
CULTURE OF MULTISCALE MODELING
AT THE NIH.
>> AND ALWAYS TALK TO YOUR
PROGRAM DIRECTOR.
THAT'S A MANTRA AT THE NIH.
YOU CAN TALK TO YOUR PROGRAM
DIRECTOR ABOUT ANY TOPIC.
SOME THINGS ARE CALLED DIFFERENT
THINGS.
I MENTIONED INFORMATICS
SPECIFICALLY BUT SOFTWARE
DEVELOPMENT WE HAVE A HISTORY OF
FUNDING MATHEMATICAL MODELS AND
PLATFORMS USED IN ANALYSIS OR
TREATMENT DIAGNOSIS.
SOMETIMES IT'S JUST A LANGUAGE
BARRIER AND ALWAYS WORTH TALKING
TO A PROGRAM DIRECTOR.
>> REACH OUT AND TALK TO YOUR
PROGRAM DIRECTORS.
THAT'S WHAT WE'RE HERE FOR AND
IF YOU WRITE A SPECIFIC AIMS
PAGE WE CAN HELP YOU OUT MORE
WITH THE WRITTEN WORDS .
>> WE DON'T EXPECT NOT TO GET
PROPOSALS FROM PEOPLE UNLESS WE
TALKED TO THEM.
IT WOULD COME OUT IN OUR
CONVERSATIONS.
I DON'T KNOW IF I CAN SPEAK FOR
FRED OR NOT.
>> I'LL REITERATE WHAT VIRGINIA
SAID WE DON'T LIKE SEEING
PROPOSALS WE DIDN'T EXPECT.
OUR PROGRAMS ARE WITHIN THE DOD.
WE'RE ESSENTIALLY SCIENCE
PROGRAMS WITHIN THE DOD SO WE
DON'T NECESSARILY FUND STRICTLY
MATHEMATICAL RESEARCH.
OUR PROGRAMS ARE DRIVEN TO BE
GENERAL BUT WITH AN EYE THAT
WOULD BE FUTURE DOD RELEVANT IN
15, 20 YEARS.
IF YOU HAVE AN IDEA FOR
MULTI-SCALE SYSTEMS IT'S
PROBABLY RELEVANT TO MY PROGRAM,
MY COLLEAGUE'S MATHEMATICAL
OPTION -- OPTIMIZATION PROGRAM
AND THE BEST WAY TO PITCH AN
IDEA IS A PARAGRAPH, MAYBE A
WHITE PAPER.
THANK YOU.
>> I ENCOURAGE APPLICANTS TO
REACH OUT TO DISCUSS IF THEY
FEEL THEY ARE IT DOESN'T FIT
WELL WITH THE STUDY SECTION.
YOU MAY DISCUSS THIS WITH YOUR
SCIENTIFIC REVIEW OFFICER AFTER
THE SUBMISSION.
IF YOU HAVE QUESTIONS RAISE YOUR
HAND.
THERE'S MICS IN THE AISLE.
WALK UP TO THE MIC AND FEEL FREE
TO ASK A QUESTION.
>> SOME OF THESE ARE TIGHTLY
FOCUSSED AT LEAST APPEAR TO BE.
ARE TE INITIATIVES APPROPRIATE
FOR MULTISCALE MODELING AND IF
SO HOW DOES ONE CONVINCE YOU'RE
FALLING WITHIN THE SCOPE AND
INTEGRATING OTHER ASPECTS AS
WELL.
>> I CAN SPEAK FOR VIRGINIA SHE
CAN CORRECT ME IF NOT AND OUR
CALLS ARE VAGUE ON PURPOSE.
DON'T ASK FOR ANYTHING SPECIFIC.
THERE'S MORE MONEY IN THE
DEPARTMENT OF DEFENSE THAT GOES
TO THINGS THAT ARE SPECIFIC.
WE GET A SMALL CHUNK FOR
SCIENCE.
WHAT I WOULD SAY IN MY PROGRAM
IS THAT I DON'T WANT SOMETHING
SPECIFIC BASED OFF SPECIFIC
APPLICATION.
I WANT SOMETHING THAT COWL BE
EXPANDED TO MANY APPLICATIONS.
I LOOK FOR WHY IS IT INTERESTING
MATHEMATICALLY, WHY IS IT HARD?
WHY CAN'T WE DO IT NOW?
WHAT ARE YOU BRINGING TO THE
TABLE THAT WILL ENABLE THINGS TO
BE DONE IN THE FUTURE.
THAT'S WHAT I'LL SAY.
>> AN INTERESTING AND RELEVANT
APPLICATION IS LIKE A PROOF OF
PRINCIPLE OF THE WORK IS A BONUS
FOR OUR PROGRAMS.
>> AT THE NIH OVER HALF THE
APPLICATIONS THAT COME IN GO TO
THE BROAD CALL WE HAVE WHERE
THERE IS NO SPECIFIC GUIDELINES
FOR WHAT COMES IN.
TALK TO YOUR PROGRAM DIRECTOR
AND IF WE DECIDE THAT YES,
YOU'RE NOT RIGHT FOR THIS
PROGRAM OR THIS PROGRAM BUT YOU
CAN COME IN AS AN
INVESTIGATOR-INITIATED RO1 OR
OTHER MECHANISMS AND YOU HAVE
THE VISION FOR YOUR SCIENCE AND
WHAT IT NEEDS TO BE AND IT WILL
GO TO OUR APPROPRIATE STUDY
SECTION FOR WHAT YOU SUBMITTED.
>> MY QUESTION IS FOR DAVID
MILLER.
YOU I SAW YOU HAD SOFTWARE
SUSTAINABILITY WHICH IS EXCITING
FOR THE TYPE OF WORK I'M
INTERESTED IN.
HOW DO YOU DECIDE OR WHAT IS
YOUR CRITERIA IN THE U24 FOR
THINGS YOU'D INVEST IN?
WOULD YOU LIKE TO SEE GITHUB
ISSUES?
HOW DO YOU DECIDE THIS IS
SOFTWARE THAT IS WORTH
CONTINUING ON?
SUSTAINABILITY AND I THINK THE
WAY A LOT OF SOFTWARE IS KEPT
ALIVE AND ADDING FEATURES OR
CLEANING OUT COBWEBS FROM
SOFTWARE THAT HAS BUILD INTO
MESSES OF THINGS OVER TIME AND
TRYING TO UNDERSTAND WHAT YOUR
THINKING IS AND A GOOD
APPLICATION AND THINGS YOU WANT
TO SEE HAPPEN?
>> THANKS, THIS IS A GOOD
EXAMPLE OF TALKING TO YOUR
PROGRAM DIRECTOR.
WITH 30 SECONDS WE DIDN'T HAVE
TIME.
THE U24 THE TITLE IS SOFTWARE
SUSTAINABILITY IS MEANT FOR
LARGE SOFTWARE TOOLS LIKE WE
FUNDED GALAXY AND IGB.
IF THE SOFTWARE WERE TO BE TAKEN
AWAY WOULD BE A DENT TO THE
COMMUNITY.
IT HAS THOUSANDS OF IF NOT TENS
OF THOUSANDS USERS.
IT'S A LARGE U24 FOR LARGE
TOOLS.
IF YOUR INTENT IS TO BRING
SOFTWARE UP TO DATE AND EXPAND
IT, IT'S MORE ABOUT THE STAGE
THE SOFTWARE WILL BE IN AND IF
YOU'RE TRYING TO BREAK INTO A
KNEW -- NEW COMMUNITY AND
THAT'S SOMETHING WE CAN WORK OUT
AND WHAT ARE YOUR GOALS FOR THE
SOFTWARE.
>> THANK YOU.
>> NEXT QUESTION.
>> YOU SEPARATED MECHANISTIC
MODELS FROM A.I.
IF YOU DIVE LOW ENOUGH TO THE
MATHEMATICS YOU'LL FIND THEY'RE
NOT THAT DIFFERENT EXCEPT FOR
COMPUTING POWER AND THINGS LIKE
THIS SO WHY DO YOU MAKE THE
SEPARATION?
>> YOUR QUESTION?
>> SEPARATING MECHANISTIC MODEL
FROM A.I. AND WHY THE
SEPARATION?
>> THE QUESTION IS WHY SEPARATE
A.I. FROM MECHANISTIC MODELS AND
I THINK THAT TIES INTO A
QUESTION ONLINE.
WHEN MECHANISTIC MODELS AREN'T
SPECIFICALLY CALLED OUT AND
THERE'S AN A.I. CALL.
HOW DOES ONE MELD THIS SEEMING
DIFFERENCE WHEN PEOPLE THINK OF
A.I. AND MECHANISTIC MODELS.
IS THERE THAT DISTINCTION WITH
EACH OF YOUR INITIATIVES AND IF
NOT HOW DOES ONE BRING
MECHANISTIC MODELLING INTO IT.
>> WE COMBINED THE MACHINE
LEARNING AND A.I. AND
COMMUNICATION.
THAT WOULD GO TO THE RELIABILITY
OF THE MIXED USE MODELS.
>> I WANT TO ADD IN NSF WE'RE
LOOKING AT A LOT OF THIS.
THIS IS AN INTERESTING
INTERSECTION FOR THE SCIENCE
WHERE A.I. AND MECHANISTIC
MODELS COME TOGETHER.
WE'RE NOT SPECIFYING EITHER.
>> FOR US WE CONSIDER FOR
EXAMPLE IF YOU'RE MECHANISTIC
MODEL IT MAY HAVE ADVANTAGES
OVER A.I. BECAUSE IT MAY BE
PHYSICS BASED AND MAY BE A LOT
OF KNOWLEDGE THAT WENT INTO IT
THAT A.I. MAY OR MAY NOT
CAPTURE.
IT'S AN AREA OF CONCERN FOR US
FOR WHICH MODEL DO WE SELECT AND
WHAT IS BEST FOR A PARTICULAR
THING.
>> IT SOUNDS LIKE THAT
DISTINCTION ISN'T BEING MADE
BETWEEN SOMETHING THAT'S A
NON-MECHANISTIC A.I.
ANOTHER QUESTION UP THERE.
>> ANY INTEREST IN THE
DEVELOPMENT OF METHODS FOR
GENERATING SYNTHETIC DATA TO
AUGMENT SOME OF THE A.I.
SYSTEMS?
USING MECHANISTIC MODELS?
I KNOW THERE'S BEEN DISPUTE
ABOUT THAT ACTIVITY.
>> WE'RE TRYING TO FIGURE OUT
WHICH MODELS CAN WE GENERATE
DATA AND HOW CREDIBLE THAT DATA
IS.
>> YES.
>> I WORK IN A.I. AND I GAVE A
TALK AT NIH A COUPLE YEARS AGO
AND ONE OF THE POINTS I WAS
TRYING TO MAKE PEOPLE AWARE
WHICH I THINK EVERYBODY'S AWARE
BUT DON'T TALK ABOUT IT AND I
SAW ONE OF THE LINK ON IMPERFECT
DATA AND THE PROBLEM IS FOR BIO
MEDICAL APPLICATIONS.
I DON'T SEE ANY ACTIVE RESEARCH
ON THAT FOR EXAMPLE, IF YOU WORK
ON PREDICTING HIPE --
HYPOGLYCEMIA AND DIABETES BUT
THERE IS A HUGE DATA IMBALANCE.
PEOPLE IN COMPUTER SCIENCE ARE
USING SOME METHODS WHICH ARE
GOOD FOR IMAGE COMPUTER VISION
AND NOT NECESSARILY FOR THE
SYSTEMS WE'RE LOOKING AT.
THERE ARE SOME CLASSICAL METHODS
BUT NOT APPROPRIATE.
I DON'T KNOW IF -- OF COURSE YOU
NEED DATA.
I'M TALKING ABOUT WE'RE TRYING
TO FOCUS ON PATHOLOGY COMPARED
TO CONTROL IN ALL DISEASE ACROSS
INSTITUTES SHOULD BE INTERESTED.
THERE'S IMBALANCE IN DATA AND
GIMMICKS LIKE THAT OR SPRINKLING
NOISE OR SUB SAMPLING A MAJORITY
CLASS WILL NOT DO THE TRICK.
THERE'S HUGE BIAS.
I'D LIKE IT HEAR ABOUT THE
INITIATIVES OR ANY INITIATIVES
IN ALL THE METHODS.
>> BRIDGE TO A.I. IS ONE OF THE
CHALLENGES TO ADDRESS DATA
IMBALANCE AND WE USE GRAND
CHALLENGES TO MOTIVATE THE
DECISION TO CAPTURE WHICH DATA
BUT AS YOU SAID WE WANT THE DATA
TO BE AM LICKABLE BEYOND THE ONE
GRANT CHALLENGE AND SCALE
BETWEEN GRAND CHALLENGERS AND
HAVE DATA TYPES TALK TO EACH
OTHER.
WOULD BE WONDERFUL TO CONTRIBUTE
YOUR THOUGHTS ABOUT DATA
IMBALANCE TO OUR THOUGHT IN
BRIDGE TO A.I. WHEN HAVE YOU A
CHANCE.
IF YOU CAN POST IT ON THE WIKI
IT WOULD BE WRITTEN DOWN.
THANK YOU.
>> YOU WANT ME TO MUTE?
>> I CAN'T HEAR NATCHER SO I'LL
ASSUME IT'S A YES.
I WANTED TO MAKE A COUPLE
COMMENTS ABOUT ONE OF THE
QUESTIONS IN THE CHAT OR IN THE
WIKI AND THE DATA IMBALANCE
COMMENTS.
I DIDN'T HAVE A CHANCE TO TOUCH
ON THE NCI COLLABORATION WITH
THE DEPARTMENT OF ENERGY.
IT'S A LONG-STANDING STRATEGY
PARTNERSHIP THAT STARTED BACK IN
2016 AND TO HAVE A STABLE
PARTNERSHIP.
SURGE IN QUANTIFICATION HAS BEEN
CRITICAL TO THE PROJECTS WE'VE
BEEN PURSUING I'LL GIVE ONE
EXAMPLE.
ONE PROJECT LOOKS AT DEVELOPING
ALGORITHMS FOR EXTRACTING TEXT
FROM ELECTRONIC PATHOLOGY
REPORTS PART OF NCI PROGRAMS
SURVEILLANCE EPIDEMIOLOGY AND
RESULTS PROGRAM.
AND IT'S ON PAR WITH WHAT OTHERS
DO.
IN ORDER TO HAVE THEM DEPLOYED
QUANTIFICATION WAS CRITICAL TO
GIVE CONFIDENCE TO THE RESULT
AND THERE WAS A METHOD THEY CALL
DEEP ABSTAINING CLASSIFIER.
THERE'S A COUPLE PUBLICATIONS ON
THIS THE LINKS WILL TAKE TO YOU
THE COMPREHENSIVE PUBLICATIONS
AND YOU CAN READ MORE ABOUT THE
CLASSIFIER.
THIS ALLOWS RESEARCHERS TO
ABSTAIN OR NOT OBTAIN RESULTS
WHEN THE ANSWER IS UNCERTAIN AND
USING THIS CLASSIFIER THE TEAM
IS ABLE TO ACHIEVE 97% ACCURACY
ON ABOUT 20% OF THE REPORTS.
AND IF YOU WANT INFORMATION ON A
LARGER CORPUS OF DATA MAYBE YOU
SAY MY ACCURACY IS 95%.
THAT'S ONE EXAMPLE OF
COLLABORATION HOW QUANTIFICATION
HAS BEEN CRITICAL.
I WANTED TO TOUCH ON DATA
IMBALANCE AND CANCER DATA IS
HIGHLY IMBALANCED AND GETS EVEN
MORE IMBALANCED WHEN YOU THINK
AT ALL ABOUT RARE CANCER TYPES
FOR CERTAIN POPULATIONS OF
INDIVIDUALS WHERE THERE'S JUST
NOT A LOT OF DATA AND WILL NEVER
BE A LOT OF DATA.
IN APRIL WE HELD A VERY
SUCCESSFUL WORKSHOP ON NEW
METHODS WITH DATA IMBALANCES.
ONE OF THE MAIN AREAS OF THAT
IMPERFECT DATA WE'LL HAVE A
WHITE PAPER THAT WILL BE
DESCRIBING MORE ABOUT THE
ALGORITHMIC AND DATA METHODS
DISCUSSED AT THAT WORKSHOP.
WE ALSO HAVE AT NCI SOMETHING
CALLED THE CANCER RESEARCH DATA
COMMONS.
I DON'T KNOW HOW MANY PEOPLE IN
THE AUDIENCE MAY BE RESEARCH
WITH THIS BUT IT'S ONE OF THE
MAJOR DATA REPOSITORIES AT NIH.
IT HAS MULTIPLE GENOMICS AND
PROTEOMICS DATA AND DOING A DEEP
DIVE ASSESSMENT ON WHERE THERE'S
GAPS IN THESE COMMONS THAT MAY
DETRACT FROM THE QUOTE, A.I.
READINESS DATA AND LOOKING AT
DATA BALANCES IS A BIG PART OF
WHAT WE'RE UNDERTAKING IN THE
ASSESSMENT AS WELL.
I'LL STOP THERE.
THANKS.
>> THE ENVIRONMENT HAS BEEN A
GOOD RESOURCE FOR DATA AND WE
TRY TO OUT IN THE NEGATIVE AND
POSITIVE DATA THAT'S AVAILABLE
AND THE EPA DASHBOARD IS GOOD A
GOOD SOURCE FOR DATA.
WHAT I WANT TO EMPHASIZE IF YOU
GO TO SLIDE 28 THERE'S AN OPEN
RFA TO THE DIRECTOR WORKING
GROUP ON BIOMEDICAL RESEARCH.
IT'S TO USE OF THIS AND THEY'RE
REQUEST
REQUESTING THIS IS GOING TO
ENCOMPASS IN SILICO AND THE
CRITICAL PART OF THE METHOD
METHODOLOGIES FOR TRANSLATION
AND APPLICATION TO RELY
EXTREMELY HEAVILY ON THE USE OF
THE SYSTEMS MODEL AND MULTISCALE
MODELS.
IT'S OPEN TO AUGUST.
PLEASE RESPOND TO IT AND I
ASSURE YOU NIH WILL TAKE THE
INFORMATION SERIOUSLY AND ACT ON
IT.
>> THANK YOU, NICOLE.
DOES ANYONE ELSE REMOTE HAVE ANY
OTHER COMMENTS?
OKAY.
SO WE'RE RUNNING INTO OUR BREAK
BUT I GUESS WE HAVE TIME FOR A
COUPLE MORE QUESTIONS.
>> I'M NCI.
I HAVE A QUICK QUESTION.
HOW DO WE THINK ABOUT TAILORED
TRAININGS.
ONE IS FROM THE EXPERIMENTAL
SIDE BECAUSE THEY WANT TO KNOW
HOW OUR A.I. OR MACHINE LEARNING
MODEL CAN HELP THEM GAIN INSIGHT
ON BIOLOGICAL INFORMATION.
AND FROM THE EXPERIMENTAL
COMPUTATIONAL MODELLING WAYS WE
ALWAYS WANT IT ACHIEVE PAST DATA
QUALITY.
HOW WE ARE TAILORED OR GIVE
DIRECTIONS FOR THE EXPERIMENTAL
TO HAVE EXPERIMENTS ESPECIALLY
LIKE THE TECHNOLOGY CHALLENGES
OR COST CHALLENGES TO DO THE
ACTUAL EXPERIMENT TO GET
SUFFICIENT DATA FOR OUR MODEL
TRAININGS.
THANK YOU.
>>
>> WE COULDN'T HEAR.
MAYBE IF YOU SUMMARIZE YOUR
QUESTION IN ONE LINE.
>> HOW TO GIVE THE DIRECTIONS
FOR THE EXPERIMENTALIST TAILORED
DATA FOR US TRAINEES?
CONSIDERING THE LIMITATIONS OF
THE COST AND TECHNICAL CHALLENGE
TO DO THE EXPERIMENT.
HOW ARE WE ABLE TO GIVE THE
GUIDANCE TO PRODUCE DATA FOR US
FOR THE TRAINEES AND GET THE
INSIGHT.
>> I THINK YOU'RE ASKING ABOUT
STANDARDIZING THE DATA FOR
BENCHMARKING THE EXPERIMENTAL
DATA SO THE MODELERS CAN USE,
CORRECT?
>> NO.
GIVE THE EXPERIMENTAL DESIGN SO
THAT BETTER INTEGRATED MODELS
AND THE EXPERIMENT TOGETHER?
>> DESIGN OF EXPERIMENT MODEL.
>> MAYBE I CAN ANSWER FOR NIH.
SOMETIMES THE DATA COLLECTION
PART IS EXPENSIVE.
THAT'S COMMON AT NIH, RIGHT.
WE'LL HAVE EXPENSIVE MOUSE
STUDIES AND TISSUE COLLECTION
STUDIES THAT ARE LARGE AND
EXPENSIVE.
IF THAT'S A KEY PIECE TO DO THE
COMPUTATIONAL COMPONENT YOU
INCLUDE THAT AS WELL.
HAVE YOU THE VISION FOR WHAT
YOU'RE SUBMITTING.
AM I ANSWERING YOUR QUESTION?
>> THE REASON IS I HAVE
CHALLENGES ON MY SIDE AND
WORKING WITH THE EXPERIMENTALIST
THEY WANT ME TO INPUT HOW WE ARE
PERFORMING TO DO THE SEQUENCING.
THE CHALLENGE IS THE DIFFERENT
WAY TO GO.
FOR ME IF WE TYPICALLY HAVE
DIFFERENT DATA WE HAVE DIFFERENT
STRATEGIES OR MODELS TO
IMPLEMENT BUT THE THING IS THAT
WE NEED TO -- THEY WANT TO KNOW
BECAUSE THE A.I. METHODS
MECHANISTIC MODELS GET THE
BETTER RESULT IN REGARD TO THE
BIOLOGIST.
HEY, HOW ARE WE PERFORMING THE
EXPERIMENT TO GET A BETTER
RESULT?
SO FOR ME THERE ARE A LOT OF
FACTORS TO CONSIDER.
JUST LIKE THE GEORGE MENTIONED
THE RESOURCE LIMITED AND IF WE
GO, FOR EXAMPLE, GATHER A LOT OF
THROUGHPUT WE MAY NOT GET ENOUGH
ACCURACY FOR EXAMPLE BUT FOR THE
LOW THROUGHPUT IT'S --
>> I THINK I SEE.
BALANCING THOSE GO TO A
COMPELLING GRANT.
LET'S HAVE A CHAT AFTER.
>> SINCE WE'RE RUNNING UP
AGAINST THE COFFEE AND TEA
BREAK, WE PROBABLY SHOULD CLOSE
UP OUR PANEL BUT THIS SHOULD
JUST BE THE BEGINNING OF THE
DISCUSSION.
THE WAY WE'VE DESIGN THE DAY IS
WE ALSO HAVE A BREAKOUT SESSION
SO THIS IS AN OPPORTUNITY TO
TAKE SOMEWHAT YOU'VE LEARNED
FROM THIS SESSION AND DISCUSS
THAT DURING THE BREAKOUT
SESSIONS TO PRESENT DIFFERENT
POSSIBILITIES YOU MIGHT FIND
THAT SOME OF THE ACTION ITEMS
MIGHT BE TO ENGAGE IN SOME OF
THESE PARTICULAR INITIATIVES OR
COME UP WITH PROJECTS THAT ARE
ALIGNED WITH THE INITIATIVES.
SO LET'S KEEP THIS CONVERSATION
GOING AND ONCE AGAIN THE WIKI'S
AN OPPORTUNITY TO DO THAT.
I WANTED TO THANK ALL OF OUR
PANELISTS FOR PUTTING TOGETHER
THE SLIDES AND GIVING US A
SUMMARY OF YOUR PROGRAMS.
THANK YOU.
IT'S REASONABLE TO SAY IF PEOPLE
HAVE QUESTIONS SPECIFIC
QUESTIONS ABOUT YOUR INITIATIVES
THAT THERE'S CONTACT INFORMATION
IN EACH OF THE SLIDES SO PLEASE
REACH OUT AND KEEP THE
COMMUNICATIONS GOING.
AND HOPEFULLY THIS IS THE
BEGINNING OF MORE AND MORE
DISCUSSION.
GRACE.
>> BEFORE ANYONE LEAVES TO GO
OUT FOR BEVERAGES WE'RE GOING TO
TAKE PICTURES.
IMAG FOLKS STAND UP REALLY QUICK
AND WE'LL HAVE REMOTE FOLKS
BEHIND US AND IF THE REMOTE
FOLKS CAN SHARE THEIR SCREENS
AND WE CAN HAVE THEM AND IN THE
MEANTIME WHILE WE'RE TAKING
PICTURES, FOLKS IN THE
AUDITORIUM COME GATHER TOWARDS
THE FRONT AND THEN THEY'LL TAKE
THE PICTURE FROM THE STAGE.
>> IF YOU'RE A GOVERNMENT
PROGRAM PERSON AND YOU'RE
SEATED, COME UP TO THE STAGE.
KILL THE SPOTLIGHTS.
WHOEVER IS HANDLING THE
SPOTLIGHTS CAN YOU REMOVE THE
SPOTLIGHTS ON THE STAGE?
IS ANYONE IN THE CONTROL ROOM?
WE'VE BEEN ABANDONED.
BADGES OFF.
WE THINK THIS IS THE FUTURE OF
MULTISCALE MODELING BECAUSE WE
NEED THIS GROUP TO HELP ADVISE
WHERE WE SHOULD GO IN TERMS OF
HEALTH EQUITY MODELLING.
PAY ATTENTION AND POST YOUR
COMMENTS HERE IN THE WELCOME
BACK -- WIKI.
I CAN'T STRESS HOW IMPORTANT IT
IS TO POST BECAUSE PREVIOUS
SPEAKER ANSWERING QUESTIONS NOW.
IF YOU POSTED LOOK FOR ANSWERS
TO YOUR QUESTIONS AND THEY'RE
TRYING HARD TO ANSWER THE
QUESTIONS AND ORGANIZERS FOR THE
SESSION ARE HERE.
I'LL HAVE JASON ONE OF OUR
CO-CHAIRS INTRODUCE.
>> I'M HAPPY TO INTRODUCE THE
SESSION ON HEALTH EQUITIES AND
THIS IS THE BRAIN CHILD OF WHO
EARLY-CAREER INVESTIGATORS.
NONE OF US REALLY WORK IN THIS
AREA BUT WE THOUGHT THIS WAS A
GREAT OPPORTUNITY FOR THE MSM
COMMUNITY TO UNDERSTAND WHAT THE
PROBLEMS ARE AND HOW WE AS A
COMMUNITY MIGHT CONTRIBUTE.
I'M HAPPY TO INTRODUCE OUR FIRST
SPEAKS TO PRESENT AN OVERVIEW OF
THIS TOPIC.
WE WANT TO PROVIDE AN OVERVIEW
OF INTERVENTIONS AND TALK ABOUT
PRINCIPLE AND MEANINGFUL
COMMUNITY ENGAGEMENT AND WE HOPE
THOSE TWO DISCUSSION POINTS WILL
LAY THE FOUNDATION AND
OPPORTUNITIES AND CHALLENGES
EVALUATING THE TYPES OF
INTERVENTIONS.
LASTLY FUNDING OPPORTUNITIES
THAT MAY BE RIGHT FOR SIMILAR
TYPE OF WORK.
THE HEALTHY PEOPLE 2030 SDOH
DEFINITION IS PROBABLY THE MOST
WIDELY USED AND CONDITIONS IN
THE ENVIRONMENT WHERE PEOPLE ARE
BORN, LIVE, LEARN, WORK, PLAY,
WORSHIP AND AGE.
AFFECTS QUALITY OF LIFE AND RISK
AND THERE'S FIVE DOMAINS.
HEALTH CARE ACCESS AND QUALITY
WHICH YOU GUYS ARE PROBABLY MOST
USED TO, NEIGHBORHOOD AND BUILT
ENVIRONMENT.
THAT MAY ENCOMPASS THINGS LIKE
OPPORTUNITIES TO EXERCISE SAFELY
AND ACCESS TO HEALTHY AND
NUTRITION FOOD AND ECONOMIC
STABILITY WHICH MAY ENCOMPASS
THINGS SUCH AS HIGH QUALITY
EMPLOYMENT OPPORTUNITIES AND
EDUCATION ACCESS AND QUALITY.
THE WORLD HEALTH ORGANIZATION IS
ONE OF THE FIRST TO BUILD OUT A
CONCEPTUAL FRAMEWORK FOR SDOH
AND STRUCTURAL INTERVENTIONS.
YOU SEE THE WORLD HEALTH
ORGANIZATION EXTENDS HEALTHY
PEOPLE 2030 DEFINITION BY
INCORPORATING THE WIDER SET OF
FORCES AND SYSTEMS SHAPING THE
CONDITIONS OF DAILY LIFE.
THE COLUMN HERE THE FIRST COLUMN
TO YOUR LEFT REALLY DOES
REPRESENT THOSE HIGHER LEVEL
STRUCTURAL FACTORS.
SO MACRO ECONOMIC SYSTEMS,
SOCIAL POLICIES, PUBLIC
POLICIES, SCHOOL POLICIES, LABOR
POLICIES, ETCETERA.
AND THOSE FACTORS THEN IMPACT
THE CONDITIONS OF DAILY LIVING
OR THE ENVIRONMENT IN WHICH
PEOPLE LIVE WHICH IS WHAT I WENT
OVER WITH THE HEALTHY PEOPLE
2030 DEFINITION.
THAT IMPACTS WHAT INDIVIDUALS
AND FAMILIES HAVE ACCESS TO.
THEY'RE MATERIAL IN ECONOMIC
CIRCUMSTANCES THAT HAVE PROFOUND
AND SUSTAINED INFLUENCES ON THE
ABILITY OF INDIVIDUALS TO LIVE
HEALTHY LIVES.
WE KNOW WE MADE TREMENDOUS
PROGRESS IN REDUCING HEALTH
DISPARITIES BUT IN MANY CASES
THEY STILL EXIST, PERSIST AND
HAVE INCREASED ESPECIALLY OVER
THE COURSE OF THE PANDEMIC.
SO WE NEED TO THINK MORE BROADLY
ABOUT FACTORS THAT IMPACT HEALTH
BEYOND THE HEALTH CARE SYSTEM.
THINKING ABOUT THOSE STRUCTURAL
LEVEL FACTORS AND THOSE
CONDITIONS OF DAILY LIVING THAT
MAY NOT HAVE TRADITIONALLY BEEN
SITUATED IN THE HEALTH IMPACT
BUT WE KNOW IMPACTS HEALTH.
SOCIAL DETERMINATES OF HEALTH
ARE MAJOR CONTRIBUTORS TO HEALTH
DISPARITIES.
ARE SHAPED BY THE STRUCTURAL
FACTORS AND INFLUENCE INDIVIDUAL
AND FAMILY CIRCUMSTANCES.
WE BELIEVE IN THE CAMPUS PROGRAM
THE GREATEST OPPORTUNITY TO MAKE
SUSTAINED AND POWERFUL
INFLUENCES ON HEALTH IS TO MOVE
UPSTREAM.
SO OF COURSE ADDRESSING
INDIVIDUAL CIRCUMSTANCES ARE
IMPORTANT BUT THEY'RE
MANIFESTATIONS OF THE STRUCTURAL
AND SOCIAL FACTORS.
SO ADDRESSING THOSE FACTORS ARE
OPTIMAL.
SO WHAT ARE STRUCTURAL
INTERVEN
INTERVENTIONS?
THEY ATTEMPT TO CHANGE THE
SOCIAL, PHYSICAL, ECONOMIC OR
POLITICAL ENVIRONMENTS THAT MAY
SHAPE OR CONSTRAIN HEALTH
BEHAVIOR AND OUTCOMES.
I WON'T THROUGH THE WHOLE LIST
BUT MAY ENCOMPASS INCOME
POLICIES TO ADDRESS ISSUES OF
ECONOMIC STABILITY, INSTABILITY,
HIGH SPEED BROADBAND INTERNET
CONNECTION AND WE KNOW THIS WAS
PARTICULARLY RELEVANT DURING THE
COURSE OF THE PANDEMIC WHERE A
LOT OF CHILDREN MOVED FROM IN
PERSON TO ONLINE LEARNING.
IDENTIFYING OPPORTUNITIES TO
INCREASE BROADBAND ACCESS AND
COMMUNITIES AND HOUSEHOLDS THAT
DIDN'T HAVE IT WAS OF COMMUNITY
INTEREST AND ENHANCING
NEIGHBORHOOD AND COMMUNITY
RESOURCES AND FACILITATE
HEALTH-PROMOTING BEHAVIORS THAT
MAY INCLUDE THINKING ABOUT
OPPORTUNITIES TO BRING
FULL-SERVICE GROCERY STORES IN
COMMUNITIES, ADDING BIKE LANES,
ADDRESSING SAFETY CONCERNS TO
PROMOTE PHYSICAL ACTIVITY,
ETCETERA.
SO WHEN YOU ARE THINKING ABOUT
STRUCTURAL AND SOCIAL FACTORS,
AGAIN, YOU HAVE TO THINK MORE
BROADLY.
SO THE HEALTH CARE SECTOR, OF
COURSE, IS IMPORTANT.
BUT ALL OF THESE OTHER SECTORS
GIVEN WHAT WE DISCUSSED ABOUT
THE SDOH DOMAINS THAT BRINGING
IN COMMERCE, ECONOMIC AND URBAN
DEVELOPMENT, TRANSPORTATION,
EDUCATION, HOUSING, JUSTICE
THEY'RE ALL RELEVANT DEPENDING
ON THE RESEARCH AND QUESTION YOU
ARE PROPOSING.
CENTRAL TO ANY EFFORT TO ADDRESS
HEALTH AND AT THE STRUCTURAL AND
SOCIAL LEVEL NEEDS TO INVOLVE
THE COMMUNITY AND I'LL TALK A
LITTLE BIT ABOUT WHY THAT IS.
SO THE CDC PROVIDES FRAMEWORK
FOR MEANINGFUL ENGAGEMENT WE
LEVERAGE FOR THE DISCUSSION
HERE.
I ENCOURAGE YOU TO TAKE A LOOK,
TYPE IN PRINCIPLES OF COMMUNITY
ENGAGEMENT/CDC.
MEANINGFUL COMMUNITY ENGAGEMENT
IS A COLLABORATE PROCESSES WHICH
MAXIMIZES ISSUES THAT AFFECT A
SPECIFIC POPULATION DEFINED BY
RACE, ETHNICITY, GEOGRAPHY AND
THE LIKE.
AUTHENTIC COMMUNITY ENGAGEMENT
CAN HELP MOBILIZE RESOURCES AND
FACILITATE CHANGE
AND SYSTEMS, POLICIES AND
PROGRAMS.
IT'S ALSO IMPORTANT TO NOTE THAT
WORKING WITH COMMUNITY OFTEN
TAKES A DIFFERENT PERFORM THAN
WORKING WITH TRADITIONAL
ACADEMIC PARTNERS.
YOU'RE PRIORITIES OR THE HEALTH
ISSUES YOU MAY WANT TO FOCUS ON
MAY NOT ALIGN WITH THE
PRIORITIES OF THE COMMUNITY.
IT TAKES A COLLABORATIVE PROCESS
TO MAKE THE COLLABORATION WORK
AND WORK WELL.
I'LL TALK ABOUT SOME PRINCIPLES
OF COMMUNITY ENGAGEMENT.
SO THE FIRST PRINCIPLE OF
COMMUNITY ENGAGEMENT THAT I WANT
TO HIGHLIGHT TODAY AND I WON'T
GO THROUGH THE LIST IN WHOLE
TRUST.
BUILDING TRUST BEFORE YOU GO TO
COMMUNITY TO ASK FOR SOMETHING,
TO ASK FOR THEM TO BE INVOLVED
IN THE RESEARCH PROJECT OR TO
ASK FOR RESOURCE THEY MAY HAVE
ACCESS, TO POPULATIONS, ETCETERA
IS REALLY IMPORTANT YOU BUILD
TRUST WITH THE COMMUNITY TO MAKE
THE PARTNERSHIP SUSTAINABLE AND
EFFECTIVE OVER TIME.
ANOTHER ONE IS BI-DIRECTIONAL
LEARNING.
UNDERSTANDING COMMUNITY HAS
UNIQUE PERSPECTIVES AND
EXPERIENCE THAT BRINGS
TREMENDOUS VALUE TO THE
PARTNERSHIP.
SO YOU ARE LEARNING FROM
COMMUNITY AND COMMUNITY IS
LEARNING FROM YOU.
SO KEEPING AT THE FOREFRONT IS
IMPORTANT.
SHARED GOVERNANCE.
SHARED DECISION MAKING.
AGAIN, IF IT IS A COLLABORATION
AND AN AUTHENTIC COLLABORATION
IT'S IMPORTANT THAT COMMUNITY
HAS A VOICE AT THE TABLE AS
WELL.
SO CO-CREATED, CO-EQUAL IS
CENTRALLY IMPORTANT TO
COMMUNITY-ENGAGED RESEARCH.
SO, I WENT THROUGH THAT QUICKLY
IN THE INTEREST OF TIME.
NOW HOPEFULLY THAT GIVES YOU AN
INDICATION OF THE DEVELOPMENT OF
THE COMMUNITY PARTNERSHIP TO
ADVANCE SCIENCE FOR SOCIETY.
THE COMPASS PROGRAM.
I WANT TO ACKNOWLEDGE OUR
CO-CHAIRS THAT HAVE BEEN
VISIONARIES IN CREATING AND
BUILDING OUT THE PROGRAM.
THEY ARE ACROSS FOUR DIFFERENT
NIH INSTITUTES.
BUT THE WHOLE OF THE WORKING
GROUP IS FAR LARGER SO EXPANDS
MOST OF NIH.
IT'S BEEN A COLLABORATIVE
PROCESS TO THINK THROUGH WHAT
THE REQUIREMENT SHOULD BE FOR A
TYPE OF PROGRAM UNIQUE AND
INNOVATIVE FOR THE NIH.
SO THIS IS SUPPORTED BY THE
COMMON FUND AND COMMUNITY LED.
AND IT'S QUITE DIFFERENT THAN
WHAT YOU PROBABLY ARE USED TO.
COMMUNITY INVOLVED PROJECTS BUT
THESE PROJECTS THE COMMUNITY,
COMMUNITY ORGANIZATION ARE
LEADING EFFORTS HERE TO LEVERAGE
STRUCTURAL INTERVENTIONS TO
ADDRESS HEALTH, REDUCE HEALTH
DISPARITIES AND ADVANCE HEALTH
EQUITY.
THE OVER ALL GOALS ARE TWOFOLD.
TO CATALYZE, DEPLOY AND EVALUATE
COMMUNITY-LED STRUCTURAL
INTERVENTIONS AND DEVELOP A NEW
MODEL OF HEALTH EQUITY
STRUCTURAL INTERVENTIONS THAT
THE NIH CAN LEVERAGE AND USE
MOVING FORWARD.
THERE ARE THREE INTERCONNECTED
PROGRAMS.
ONE THE COMMUNITY-LED HEALTH
EQUITY STRUCTURAL INTERVENTION.
WE'LL FUND UP TO 25 AWARDS FOR
THIS AND THESE ARE LED BY
COMMUNITY ORGANIZATIONS NOT BY
RESEARCH ORGANIZATIONS.
THE HEALTH EQUITY RESEARCH HUBS,
UP TO FIVE AWARDS, AND THE
COORDINATION CENTER WHICH IS ONE
AWARD.
THE STRUCTURAL INTERVENTIONS
COMPONENT IS CHARGED WITH
DEVELOPING IMPLEMENTING,
ASSESSING AND DISSEMINATING
THESE TYPES OF INTERVENTIONS
BASED ON THEIR HEALTH PRIORITIES
AND THEIR POPULATIONS OF NEED.
THE HEALTH EQUITY RESEARCH HUBS
WILL BE CENTERED IN PROVIDING
TECHNICAL AND SCIENTIFIC SUPPORT
TO THE COMMUNITY ORGANIZATIONS.
IN COLLABORATION WITH THE
COORDINATION CENTER AND THE
COORDINATION IS THE GLUE TO THE
PROGRAM AND WILL BE IN CHARGE OF
MANAGING THE OVER ALL PROGRAM
AND COORDINATION OF
ADMINISTRATIVE DATA CAPACITY,
BUILDING, TRAINING ACTIVITIES,
ETCETERA.
NOW I'LL TURN IT OVER TO TALK
ABOUT THE INTERVENTIONS.
>> I'M YVONNE OWEN FERGUSON AND
SERVE AS THE LEAD OF PROGRAM
LEAD FOR THE COMPASS PROGRAM.
IN TERMS OF CHALLENGE AND
OPPORTUNITIES, WE REALLY WANTED
TO SPEAK TO YOU AS AN AUDIENCE
TO THINK ABOUT LEVERAGING THE
RESOURCES AND EXPERTISE OF THE
MULTISCALE MODELING COMMUNITY
AND HOW IT WILL BE IMPORTANT TO
THE SUCCESS OF CAMPUS.
I'LL SPEND A COUPLE SLIDES
TALKING ABOUT THIS.
SO WHAT ARE SOME OF THE
CHALLENGES AND WHAT ARE SOME OF
THE OPPORTUNITIES FOR
INTEGRATING SOCIAL AND
STRUCTURAL DETERMINATES OF
HEALTH?
I WANT TO RECOGNIZE OUR
COLLEAGUE FROM NIMHD DR. LAURIE
SCOTT SHELDON FOR HER THINKING
AROUND THIS.
FOR THE CHALLENGES THERE ARE A
LACK OF DATA STANDARDIZATIONS
ACROSS THE PROJECTS AND DATA
SETS THUS FAR.
WE'RE CALLING FOR PROJECTS TO
BRAIN STORM ABOUT COMMON DATA
ELEMENTS.
ALSO BARRIERS TO DATA DESPITE
NIH'S NEW POLICY FOR DATA
MANAGEMENT AND SHARING.
THERE'S STILL GOING TO BE
BARRIERS FROM THE COMMUNITY
ABOUT SHARING THEIR DATA.
THERE'S ALSO A LACK OF
REPRESENTATIVENESS IN OUR
CURRENT DATA SETS.
FOR EXAMPLE, UNDER REPRESENTED
COMMUNITIES ARE NOT WELL
REPRESENTED AND SOMETIMES
EXCLUDED FROM THE DATA SETS.
ANOTHER CHALLENGE THE FOCUS THAT
MOST INTERVENTIONS THAT INCLUDE
SOCIAL DETERMINATES OF HEALTH
FOCUS ON INDIVIDUAL LEVEL
OUTCOMES WITH LIMITED ATTENTION
TO THE COMMUNITY OR STRUCTURAL
LEVEL OF SOCIAL DETERMINATES OF
HEALTH.
AND FINALLY THERE'S A CHALLENGE
IN TERMS OF THE LACK OF TRAINING
OUT IN THE EXTRAMURAL COMMUNITY
OF MULTI-LEVEL AND SOCIAL
DETERMINATES OF HEALTH DATA.
WHAT ARE THE OPPORTUNITIES?
THERE ARE SOME OPPORTUNITIES.
THERE'S NOT AN OPPORTUNITY TO
UNDERSTAND THE IMPACT OF SOCIAL
AND STRUCTURAL DETERMINATES OF
HEALTH ACROSS HEALTH CONDITIONS
AND DOMAINS AND THERE'S ALSO
OPPORTUNITIES TO BUILD
STRUCTURAL AND SOCIAL
DETERMINATES OF HEALTH MODELS.
WE LOOKING AT DATA ON
GEOGRAPHICAL AREA DATA.
IT CAN BE LINKED TO
INDIVIDUAL-LEVEL PARTICIPANT
DATA USING THE PARTICIPANT'S
ADDRESSES AND ZIP CODES AND SO
BY USING POPULATION-LEVEL DATA
IN THAT WAY THAT'S ONE EXAMPLE
AND ONE WAY TO EXTEND THE DATA
SET BEYOND IT'S ORIGINAL INTENT
TO ANSWER NEW QUESTIONS OR
PROVIDE NEW INSIGHTS ABOUT
FINDINGS.
SO THIS SLIDE SHOWS YOU THE MANY
PUBLIC DATA SETS THAT ARE USED
TO UNDERSTAND THE IMPACT OF
SOCIAL AND STRUCTURAL
DETERMINATES OF HEALTH.
WE HAVE THE U.S. CENSUS BUREAU
WHICH INCLUDES OTHER DATA SETS
THE AMERICAN COMMUNITY SURVEY,
THE AMERICAN HOUSING SURVEY.
WE HAVE THE HEALTH RESOURCES AND
SERVICES ADMINISTRATION OR HRSA
AREA HEALTH RESOURCES FILES.
CDC HAS SEVERAL DATA SETS SUCH
AS PLACES AND THE ENVIRONMENTAL
JUSTICE INDEX.
ALSO ALL OF US AN NIH PROGRAM
HAS A VERY LARGE DIVERSE SAMPLE
OF PATIENTS DIAGNOSED WITH
CARDIOVASCULAR DISEASE,
DIABETES, CANCER, HIV AND OTHER
HEALTH CONDITIONS.
THE COMPASS PROGRAM EMPHASIZES
THE COLLECTION OF COMMON DATA
ELEMENTS AMONG INDIVIDUAL
AWARDEES AND ACROSS AWARDAWARDE.
WHY ARE WE EMPHASIZING COMMON
DATA ELEMENTS?
NOT ONLY IS IT THE VISION OF OUR
CO-CHAIRS BUT MAINLY IT PROVIDES
A WAY FOR STANDARDIZATION ACROSS
THE COLLECTION OF THE PROGRAMS.
IT PROVIDES FOR A SYSTEMATIC WAY
ACROSS THE DIFFERENT SITES AND
STUDIES THAT IS CONSISTENT.
IT PROMOTES DATA SHARING, DATA
HARMONIZATION AND CONTRIBUTES TO
THE LARGE DATA SET AND THIS
AFFECT THE POWER.
BY COMPASS EMPHASIZING THE
COLLECTION OF COMMON ELEMENT WE
HOPE TO PROVIDE FOR A GREATER
UNDERSTANDING OF HOW INTERVENING
ON STRUCTURAL FACTORS REDUCES
DISPARITIES AND HEALTH OUTCOMES
AMONG VARIOUS PRIORITY
POPULATIONS, NEIGHBORHOODS,
COMMUNITIES, COUNTIES, STATES,
ETCETERA.
AS THE FOUNDATION OF OUR
THINKING, THE PROGRAM TEAM LOOKS
TOWARDS THE PHOENIX X TOOL KIT,
SOCIAL DETERMINATES OF HEALTH
COLLECTION LAUNCHED IN 2020 AND
IS EXPANDING WITH THE ADDITION
OF MANY SOCIAL DETERMINATES OF
HEALTH PROTOCOLS.
SO THE PHOENIX X TOOL KIT
CONTAINS CONSENSUS MEASURES FOR
PHENOTYPES AND EXPOSURES AND
PROVIDES RECOMMENDED STANDARD
DATA COLLECTION PROTOCOL
MEASURES AND IS SUPPORTED BY
VARIOUS NIH CENTERS, INSTITUTES
AND OFFICES.
THERE ARE INDIVIDUAL AND
STRUCTURAL SOCIAL DETERMINATES
OF HEALTH PROTOCOLS HOUSED IN
THE PHOENIX X SDOH COLLECTION.
HERE'S A LIST OF THOSE PROTOCOLS
RELEVANT TO COMPASS AND MAY BE
OTHER RELEVANT PROTOCOLS BUT
THESE ARE A FEW.
AGAIN, AIR QUALITY INDEX IS ONE,
CONCENTRATED POVERTY,
ENVIRONMENTAL JUSTICE, FOOD
SWAMPS, RACE AND ETHNIC
RESIDENTIAL SEGREGATION, SOCIAL
VULNERABILITY, WATER, ACCESS AND
SANITATION SO THAT'S JUST AN
EXAMPLE OF SOME OF THOSE
PROTOCOLS THAT MIGHT BE RELEVANT
TO COMPASS.
SO GEOGRAPHIC IDENTIFIERS USED
TO LINK DATA SETS FROM DIFFERENT
SOURCES IS WHAT YOU'RE SEEING ON
THIS SLIDE.
AND THIS JUST GIVES ANOTHER
OPPORTUNITY AND EXAMPLE OF HOW
YOU CAN UTILIZE ZIP CODE
TABULATION AREAS OR ZTAs WHICH
ARE A MORE GENERALIZED AREA OF
ZIP CODE SERVICE AREAS.
THIS PROVIDES AN EXAMPLE.
AND IN THE INTEREST OF TIME,
THIS IS THE LAST SLIDE.
I WANTED TO PROVIDE ANOTHER
EXAMPLE OF A WAY OUR COMMON FUND
DATA ECO SYSTEM WHICH INVOLVED
MANY OF OUR COMMON FUND PROGRAM
INCLUDES OUR KIDS FIRST PROGRAM.
A RESEARCH QUESTION WAS ASKED
ABOUT IS HOUSING INSECURITY
ASSOCIATED WITH CHILDHOOD CANCER
SURVIVAL.
THE FOUR DIFFERENT LEVELS IN
WHICH THE ANSWER CAN BE ANAL
ANALYZED.
IT PROVIDES AN EXAMPLE.
THESE ARE FUNDING OPPORTUNITIES
YOU CAN EXPLORE IN TERMS OF
LOOKING AT SOCIAL DETERMINATES
OF HEALTH AND THE WAY THAT YOU
CAN APPLY YOUR RESEARCH TO
INTEGRATE INTO THOSE FUNDING
OPPORTUNITIES THAT ARE ACTIVE AT
THIS TIME.
AND WE WANT TO THANK YOU FOR
YOUR ATTENTION.
[APPLAUSE]
>> THANK YOU.
IF THERE'S QUESTIONS WE CAN
ENTERTAIN THEM NOW EITHER COME
TO THE MICROPHONE OR INVITE YOU
TO ENTER YOUR QUESTION IN THE
WIKI.
>> THERE'S A QUESTION IN WIKI,
I'M PARAPHRASING, WHAT DO YOU
SEE AS THE ROLE OF TECHNOLOGY
LIKE WEARABLE DEVICES OR
AFFORDABLE BLOOD PRESSURE
MEASUREMENTS IN THE COMMUNITY
INTERVENTIONS?
>> THAT'S A GOOD QUESTION.
WE DO HAVE SOME PROJECTS THAT
ARE PROPOSING THOSE TYPES OF
INSTRUMENTS.
AND WE SEE THEM AS VERY CRITICAL
IN THAT THEY CAN HAVE WEARABLE
DEVICES AS A DATA COLLECTION AS
A WAY TO COLLECT
INDIVIDUAL-LEVEL DATA IN TERMS
OF OUTCOMES BUT WE'RE ALSO
EMPHASIZING SINCE THIS IS A
MULTI-LEVEL TYPE OF
INTERVENTION, STRUCTURAL
INTERVENTION THAT THEY INCLUDE
OTHER MEASURES AS WELL ON A
COMMUNITY LEVEL AND MORE
STRUCTURAL LEVEL IN ADDITION TO,
FOR EXAMPLE, WEARABLE
TECHNOLOGIES AND SUCH.
BUT WE DO HAVE SOME PROGRAMS,
SOME PROJECTS THAT ARE PROPOSING
DATA IN THAT WAY.
>> THANK YOU FOR THE WONDERFUL
PRESENTATION.
I DON'T WORK IN THIS AREA BUT
I'VE HAD THE GOOD FORTUNE OF
WORKING WITH A START UP COMPANY
IN NORTH PHILADELPHIA WHICH
FOCUSES ON SDOH.
I FIND THE CONTEXT IN WHICH YOU
PRESENTED VERY INTERESTING.
THE QUESTION I HAVE FOR YOU IN
MY LIMITED UNDERSTANDING A LOT
OF THE SDOH RELATE D DATA EXIST
IN STATE OWNED DATA AND THE
MEDICAL DATA STILL RESIDES WITH
THE HOSPITALS.
FOR A COMMUNITY LIKE US WHERE
WE'RE INTERESTED IN MAKING
PREDICTIONS AT AN INDIVIDUAL
LEVEL, PATIENT LEVEL, IT WOULD
BE NICE TO ST HAVE THE DATA
MEASURES AND THEY MAY HAVE
COMORBIDITIES SOCIAL BARRIERS IT
WOULD BE NICE TO HAVE THE SAME
DATA THE MEDICAL AND DATA FOR
THE SAME PATIENT AMON MISED OF
COURSE -- ANONYMIZED OF COURSE
AND HOW DO YOU SEE THIS EVOLVING
IN THE FUTURE AND ARE THERE
INITIATIVES?
>> THAT'S A GOOD QUESTION.
THERE'S AN EFFORT FROM THE WHITE
HOUSE THAT IS DEVELOPING A PLAY
BOOK AND ONE OF THE PILLARS OF
THE PLAY BOOK IS DATA LINKAGE.
IT'S FOCUSSED ON SDOH
SPECIFICALLY.
WE UNDERSTAND IT'S HARD TO MAKE
PREDICTIONS AND IT'S HARD TO
BUILD A CASE FOR INTERVENTION
DEVELOPMENT OR PROGRAM
DEVELOPMENT OR POLICY WHEN YOU
DON'T HAVE DATA.
SO WE UNDERSTAND AND RECOGNIZE
DATA IS CRITICAL TO MOVING THIS
WORK FORWARD AND IT IS A
CHALLENGE BUT AT THE FEDERAL
GOVERNMENT LEVEL WE ARE WORKING
ON IT AND HOPEFULLY IN THE
NEXT -- IT'S NOT GOING TO BE
QUICK, RIGHT, SO IT'S A
CHALLENGE TRYING TO INTEGRATE
DIFFERENT DATA SOURCES FROM
DIFFERENT SECTORS AND FROM
DIFFERENT PARTNERS, ETCETERA.
IT IS A CHALLENGE THAT WE
UNDERSTAND AND RECOGNIZE AND ARE
TRYING TO MOVE ON.
>> OKAY.
WE HAVE SOME OTHER QUESTIONS
THAT HAVE BEEN POSTED TO WIKI
BUT MORE OF A GENERAL NATURE.
IN THE INTEREST OF TIME WE'LL
MOVE ON TO THE NEXT SPEAKER.
>> SO, I'M THE CHIEF OF THE
REVIEW OFFICE AT NIBIB AND WOULD
LIKE TO ADD ONE MORE INITIATIVE
IT'S A TECHNOLOGY DEVELOPMENT TO
REDUCE HEALTH DISPARITIES.
IT'S CURRENTLY RUNNING SO THE
NEXT DATE IS JANUARY 26 AND WE
WOULD LIKE TO SEE MORE
APPLICATIONS.
IT DIDN'T HAVE PARTICULAR
MULTI-SCALE MODELLING BUT IT'S
OPEN TO ANY TECHNOLOGY
DEVELOPMENT.
THANK YOU.
>> WOULD YOU PLEASE POST THE
INFORMATION IN THE WIKI?
THAT WOULD BE GREAT.
AT THIS TIME I'D LIKE TO
INTRODUCE THE NEXT SPEAKER.
>> I'D LIKE TO INTRODUCE ALLISON
RILEY TO INTRODUCE HER WORK AND
ALL HER METHODS SHOULD SEEM
FAMILIAR AND HAS EXPERIENCE
ADDRESSING HEALTH DISPARITIES
THROUGH THINGS LIKE THE BUILT
ENVIRONMENT WE JUST HEARD ABOUT
AND ALSO THINGS I THINK ARE
EXCITING IS HAS A LOT OF
EXPERIENCE WORKING WITH POLICY
MAKERS AND SO THINKING HOW DO WE
USE OUR MODELS AND COMMUNICATE
OUR MODELS AND HOW DO WE BUILD
THEM IN A ROBUST AND RELIABLE
WAY TO HAVE IMPACT.
ALL YOURS.
THANK YOU.
>> HI, THANKS.
I'M ALLISON RILEY AN ASSISTANT
SOON TO BE PROFESSOR AT MARYLAND
COLLEGE PARK DOWN THE ROAD.
I'LL ADMIT I WAS SURPRISED WHEN
I WAS ASKED TO BE A SPEAKER --
SORRY, THERE'S AN ECHO I'M
TRYING TO GET USED TO.
I'M TRYING TO FOCUS ON THE BUILT
ENVIRONMENT AND WHAT IS IT ABOUT
THE BUILT ENVIRONMENT THAT ARE
CAUSING THESE HEALTH OUTCOMES
THAT ARE NEGATIVE AND REALLY
STRADDLE THE SOCIO ECONOMIC
DIVIDE.
SO THE BUILT ENVIRONMENT IS A
KEY DETERMINATE OF HEALTH.
THANK YOU FOR -- WHEN YOU WENT
THROUGH YOUR PRESENTATION, ONE
OF THE AREAS OF THAT BIG CIRCLE
IS IS THE BUILT ENVIRONMENT.
I'M NOT GOING TO GO INTO TOO
MUCH OF WHAT PEOPLE ALREADY KNOW
ABOUT.
AIR POLLUTION TENDS TO BE WORSE
IN AREAS THAT WERE HISTORICALLY
RED LINES.
AREAS DENIED FEDERAL MORTGAGES
BECAUSE THEY HAD AT LEAST ONE
PERSON OF COLOR AND IF YOU GO TO
AREAS A WHERE YOU COULD GET A
MORTGAGE AT A GOOD RATE AND
THERE'S HEAT DISPARITIES IN
AREAS RED LINED.
THOSE TEND TO BE HOTTER IN URBAN
AREAS AND AREAS THAT WERE DEEMED
HIGH-QUALITY INVESTMENTS ARE
COOLER.
PORTLAND, OREGON THE AVERAGE
DIFFERENCE IS ABOUT 12 DEGREES.
THAT'S HUGE, RIGHT.
WHY IS THIS -- WHAT IS CAUSING
AIR POLLUTION AND HEAT?
LET'S LOOK AT BALTIMORE.
I LIVED IN BALTIMORE MANY MANY
YEARS.
THERE'S FEWER TREES, WHAT DOES
THAT MEAN?
IN AREAS HISTORICALLY RED LINED
IT MEANS IT'S HOTTER.
MORE POLLUTION, MORE ABILITY TO
COLLECT NOX AND LONG BEACH,
ASTHMA ALLEY.
IT'S NO COINCIDENCE BECAUSE THE
PORT IS RIGHT THERE.
THERE'S SHIPS AND NOT ONLY
HIGHWAY AND TRAINING BUT THEY
BURN BUNKER FUEL.
IT'S THE WORSE FUEL TO BREATHE
FILLED WITH NOX AND SOX HAVE
SHIPS AND PORTS BURNING THIS
OIL.
WE SEE WITH THE INCOME DIVIDE
WITH AREAS WITH HIGHER INCOME IN
BALTIMORE, MORE TREES, LESS AIR
POLLUTION, LOWERING ON THE WEST
SIDE MUCH LOWER INCOME, HIGHER
POLLUTION, HOTTER.
I LOOK AT WHAT IS THE EXTREME
ENVIRONMENT IN EXTREME EVENTS
CAUSING INFRASTRUCTURE TO BE AN
AMPLIFIER OF THESE NEGATIVE
OUTCOMES.
SO IF WE LOOK AT FLOODS OR
HURRICANES, THEY HAVE
SIGNIFICANT IMPACT ON
INDIVIDUALS AND COMMUNITIES AS
YOU CAN IMAGINE.
BUT THE IMPACT IS NOT USUALLY
FELT EVENLY.
IT CAN DISRUPT LIVES.
LOSS OF INCOME AND YOU MAY LOSE
YOUR JOB IMMEDIATELY OR HOME.
THE LIKELIHOOD OF LOSING HOME
VARIES DRAMATICALLY ACROSS THE
SOCIO ECONOMIC DIVIDE AND WE'LL
TALK ABOUT THAT.
THERE'S INCREASINGLY FORCED
MIGRATION THAT OCCURS AFTER A
DISASTER NOT ONLY IN HURRICANE
KATRINA BUT IN SMALLER EVENTS
WHERE PEOPLE ARE FORCED TO
RELOCATE SEEKING ECONOMIC
OPPORTUNITIES AND THIS IS A
MAJOR STRESSOR FOR INDIVIDUALS.
THERE'S MAJOR HEALTH EFFECTS
CAUSED BY A LACK OF
INFRASTRUCTURE.
THERE'S A LACK OF MEDICATION
THAT CAN OCCUR.
SO WE SEE THE HEALTH CARE
NONPROFIT THAT IS OPERATED IN
BALTIMORE BUT DEPLOYED AFTER
MOST DISASTERS IN THE UNITED
STATES FOUND THAT THE AVERAGE
PERSON OVER THE AGE OF ABOUT 45
IN THE GULF COAST STATE IS ON 12
MEDICATION.
IF YOU ALL OF A SUDDEN LOSE
ACCESS TO A PHARMACY BECAUSE
THEY ALL CLOSE, YOU DON'T HAVE
ACCESS EASILY TO MEDICATIONS AND
HOPEFULLY THEY'RE ALL WRITTEN
DOWN WITH THE DOSAGE.
LACK OF ACCESS TO MEDICAL CARE.
WE'LL TALK ABOUT THAT.
ROADS BECOME DESTROYED AND AFTER
HURRICANE HARVEY THE 9-1-1
SYSTEM WAS STILL ON ANALOG IN
MOST THE AREA AND COULD NOT CALL
FOR HELP BECAUSE OF THE OUTDATED
SYSTEM.
THERE'S MENTAL HEALTH
IMPLICATIONS.
ALSO AFTER DISASTERS YOU HAVE
UNRELIABLE POWER WHICH WE'LL
TALK ABOUT WHICH IS UNRELIABLE,
UNEVENLY.
YOU HAVE UNRELIABLE WATER AND
UNRELIABLE UNEVENLY AND WASTE
WATER SERVICES ARE UNRELIABLE
AND UNRELIABLE UNEVENLY.
I'LL TALK ABOUT THE ROLE
INFRASTRUCTURE PLAYS IN THE
IMPACTS.
I'LL GO THROUGH EXAMPLES IN MY
RESEARCH.
SO THIS IS THIS IS IN A LOT OF
WAYS BY DESIGN.
THE PICTURE ON THE NORTH IS A
PICTURE FROM WEST HOUSTON.
SO HURRICANE HARVEY, 30 TO 40
INCHES OF RAIN IN TWO DAYS.
MASSIVE FLOODING.
WAS NOT TIME TO EVACUATE.
SHELTER IN PLACE.
ANOTHER AND EAST OF HOUSTON HAD
WORSE DAMAGE AND WEST HAD HOMES
FLOOD, DAMAGE WAS NOT AS SEVERE.
THE REASON IS IS HOW THE LAND
WAS DESIGN.
ON THE WEST, IT TENDS TO BE MORE
GREEN SPACE AND SPONGES TO
ABSORB THE WATER.
ON THE WEST YOU HAVE CONCRETE
DRAINAGE DITCHES.
THESE ARE NOT GREAT FOR DAY TO
DAY HUMAN HEALTH.
THEY BREED BUGS AND NOT GOOD
THINGS BUT THEY ALSO CAN GET
EASILY OVERLOADED WITH WATER IN
HEAVY RAIN EVENTS AND THERE'S NO
WAY FOR THE WATER TO GET
EVACUATED BECAUSE IT'S CONCRETE
AND IT SIT THERE AND THERE'S
NOWHERE TO GO IT FLOODS
WHEREVER.
THE INFRASTRUCTURE MADE IT WORSE
IN HOUSTON AFTER HURRICANE
HARVEY.
AND LEADS TO SLOWER RECOVER RIS
AND WORSE OUTCOMES IN THE OVER
BURDENED POPULATIONS.
I'M GOING TO START TO WALK
THROUGH SOME OF THESE.
AND HISTORICALLY MARGINALIZED
GROUPS HAVE FACED HIGHER
EXPOSURE TO CLIMATE CHANGE AND
EVEN BEFORE RED LINING.
POST CIVIL WAR, LAND HAS SET
ASIDE FOR ENSLAVED PEOPLE,
FORMERLY ENSLAVED PEOPLE AND
BLACK VETERANS IN AREAS THAT
WERE FLOOD-PRONE.
SO IF YOU LOOK AT NORTH RED WOOD
ABOUT FIVE MILES AWAY IS
TRADITIONALLY AFRICAN AMERICAN
AND IT'S FLOOD-PRONE LAND AND
LAND THE U.S. GOVERNMENT DID NOT
WANT SO IT WAS GIVEN TO FORMERLY
ENSLAVED INDIVIDUALS.
THEN WE GET TO RED LINING WHICH
FURTHER EXACERBATED THESE
DISPARITIES AND EVEN AFTER RED
LINING ENDED IN THE 1970s WE
CONTINUE WITH POLICIES LIKE
EXCLUSIONARY ZONING WHICH
PREVENT LOWER INCOME INDIVIDUALS
FROM MOVING TO AREAS THAT ARE
SAFER.
SO WE HAVE -- THERE IS BY DESIGN
SEGREGATION AND DIFFERENTIAL
EXPOSURE TO HAZARDS AND ALSO
CLIMATE CHANGE SO HEAT, SEA
LEVEL RISE.
WE ALSO HAVE HISTORICAL AND
CURRENT UNDER INVESTMENT IN
HISTORICALLY MARGINALIZED
COMMUNITIES.
A LOT OF IT IS BECAUSE LIKE AS
OF RIGHT NOW WE DON'T HAVE
THERE'S THE COST BENEFIT RATIO.
IF YOU LOOK AT JACKSON,
MISSISSIPPI IN 2012, THE WATER
BOARD WENT IN FRONT OF THE
MISSISSIPPI BONDS GROUP THE
REGULATORY BOND TO GET BONDS TO
INVEST IN THEIR WATER SYSTEM.
IT WAS DEEMED TOO RISKY OF AN
INVESTMENT.
THEY WOULDN'T GET THEIR MONEY
BACK.
THEY WERE UNABLE TO GET BONDS.
IT GUARANTEED A FAILURE OF THE
WATER SYSTEM IN JACKSON,
MISSISSIPPI LAST YEAR.
BECAUSE THEY'RE UNABLE TO GET
CAPITAL.
THIS HAPPENS OVER AND OVER AND
OVER AGAIN.
WE KNOW THAT THIS LEADS TO HOMES
THAT IN UNDER INVESTED AREAS
TEND TO BE OLDER, BUILT TO
POORER OR OLDER BUILDING CODES
IF THEY'RE BUILT TO BUILDING
CODES AT ALL.
AND OVER BURDENED COMMUNITIES
HAVE LESS ABILITY TO ADAPT.
LESS LIKELY TO HAVE INSURANCE IF
THEIR HOME WERE TO BE DAMAGED.
LESS LIKELY TO -- LESS ACCESS TO
FEDERAL RESOURCES AND AID AFTER
FEDERAL DISASTERS BECAUSE IF
YOU'RE A RENTER -- IF YOU'RE A
HOMEOWNER HAVE YOU ACCESS TO
CERTAIN PROGRAMS, IF YOU'RE A
RENTER YOU DON'T HAVE ACCESS.
IF YOU HAVE TO EVACUATE FOR A
FEW DAYS OR MONTHS HOW MUCH WILL
THAT COST?
WE SEE SOMETIMES PEOPLE STAY
BEHIND UNDER EXPOSED BECAUSE
THEY DON'T HAVE THE FEW HUNDRED
DOLLARS IN ORDER TO GO SOMEWHERE
ELSE.
AND A LOT OF THIS IS STILL
CODIFIED BY LAW.
SO WE LOOK AT COST BENEFIT
ANALYSIS.
IT SEEMS REASONABLE.
THE BENEFITS HAVE TO OUTWEIGH
THE COST WHEN WE USE FEDERAL
FUNDS AND FEMA AND ARMY CORPS
ARE BOUND BY THIS RULE.
IT KIND OF ON THE SURFACE MAKES
SENSE BUT HOW DO WE IMPLEMENT
THIS?
WE LOOK AT HOW MUCH VALUE THE
PROPERTY VALUE OF WHAT IS THAT
INVESTMENT IS GOING TO HAVE.
SO IF YOU LOOK AT A LEVEE OR
SOME DIKE YOU MAY MAKE A MASSIVE
INVESTMENT IN YOU LOOK AT THE
PROPERTY OF THE LAND BEHIND IT.
WHAT IS THE RISK REDUCTION THE
PROPERTY LOSS THAT COMES BY THAT
INVESTMENT?
WE PROTECT WEALTHY HOMES AND
DON'T PROTECT POORER COMMUNITIES
WITH LEVIES OR OTHER FLOOD
BARRIERS BECAUSE WE CAN'T MAKE
THE COST BENEFIT ANALYSIS WORK.
YOU'LL SEE RIGHT NOW IF YOU LOOK
AT NEW YORK CITY PLAN POST
HURRICANE HARVEY STORM SURGE
PLAN THE PLAN IS TO INVEST AND
PUT MASSIVE BARRIERS IN
MANHATTAN AND HIGH-VALUE AREAS
AND HARLEM AND SOUTH BRONX WILL
STILL BE EXPOSED TO SEA LEVEL
RISE AND STORM SURGE AND THERE'S
NO INVESTMENTS RIGHT NOW.
THE STAFFORD ACT IS BASED ON
VALUE.
HOW MUCH WAS DAMAGED.
SO WHILE YOU MIGHT HAVE MORE
DAMAGE OR MORE LIKELIHOOD OF
DAMAGE IN POORER AREAS, IT
DOESN'T ALWAYS GET TO THAT
THRESHOLD WHEREAS IN WEALTHIER
COMMUNITIES YOU'RE MORE LIKELY
TO GET A LOT OF FEDERAL AID.
FEDERAL AID COMES WITH A 75%
GUARANTEED REIMBURSEMENT UP TO
90% REIMBURSEMENT FOR
INFRASTRUCTURE.
SO IT'S ONE OF THE EASIEST WAYS
FOR WEALTHY COMMUNITY TO MAKE
INVESTMENT IN THEIR
INFRASTRUCTURE IS TO MAKE THEY
GET THE FEDERAL DOLLARS.
WE SEE POORER COMMUNITIES
GETTING DISASTER AID BUT NOT
HAVING THE 25% COST SHARE AND
NOT BEING ABLE TO AFFORD IT AND
ACCESS THE FUNDS.
2018, AND LOOKING AT THE
WEALTHIER COMMUNITY WAS ABLE TO
GET THE DISASTER MITIGATION AND
OTHERS DOES NOT GET A
DECLARATION BECAUSE THEY DIDN'T
GET TO THE DAMAGE THRESHOLD
BECAUSE THE PROPERTY VALUES WERE
LESS.
>> I'LL GO THROUGH THE EXAMPLES
WE LOOK AT WITHIN THE RESEARCH
GROUP.
ONE IS HURRICANES AND RENTERS
ARE UNIQUELY VULNERABLE TO
DISASTERS BECAUSE OF INCREASED
HAZARD EXPOSURE.
I BELIEVE IT'S 10% OF PUBLIC
HOUSING IN THE FLOODPLAIN.
MOST PUBLIC HOUSING IS NOT UP TO
CURRENT HURRICANE CODES.
THERE'S STORM SHUTTERS AND
THINGS LIKE THAT AND
INTERSECTION 8 HOUSING WE LOOK
AT ALL REN TERS WHEN WE LOOK AT
THIS.
HIGHER VULNERABILITY.
NOT UP TO CODE AND SOCIO
ECONOMIC DISADVANTAGE.
DEF
>> RENTERS HAVE LESS ABLE TO GET
FUNDING AND HOMEOWNERS UP ARE TO
ABOUT $36,000.
WE THINK DISASTERS CAUSE SHOCKS
IN THE RENTAL MARKET BUT NOBODY
LOOKED AT IT UNTIL WE DID AND
MOSTLY LOOKED AT THE HOUSING
MARKET IS WHAT RESEARCH LOOKED
AT.
WHAT'S IT DO FOR HOMEOWNERS AND
HOW DO REPETITIVE LOSSES AFFECT
HOMEOWNERS.
HOW DOES IT AFFECT RENT AND
AFFORDABILITY OF HOUSING AND WE
LOOKED AT 19 STATES OVER 10
STATES IN THE EAST COAST AND
GULF COAST LOOKING AT SOCIO
ECONOMIC AND HOUSING DATA.
AS HURRICANE INTENSITY INCREASED
A REDUCE HOUSING AVAILABILITY
NOT SURPRISING BECAUSE
HURRICANES DAMAGED HOMES.
THERE'S AN INTERESTING FINDING
AS AVAILABILITY DECREASED, IT
INCREASED RENT SO THAT'S AS
EXPECTED.
HAVE YOU LESS HOUSING,
INCREASES, DEMAND OF RENT.
IT ALSO INCREASED THE
AFFORDABILITY.
THAT DOESN'T MAKES SENSE.
YOU HAVE LESS HOUSING BUT
INCREASE THE AFFORDABILITY OF
THE HOUSING.
SO WHAT'S GOING ON?
WITH FOUND RENTERS ARE BEING
DISPLACED.
THERE'S A FORCED MIGRATION GOING
ON CONSISTENTLY SO PEOPLE ABLE
TO MOVE MOVE AND SO WE FIND THAT
THE AFFORDABILITY APPEARS TO
INCREASE BECAUSE THE AREA IS
BECOMING WEALTHIER.
THERE'S A FORCED MIGRATION GOING
ON.
HIGHER RENTS CORRESPOND ALSO
WITH HIGHER INCOME, MORE RENTERS
BUT THE LACK OF AFFORDABILITY
CORRESPONDS MORE WITH NON-WHITE
POPULATIONS AND MORE RENTERS.
RIGHT NOW THERE'S NO REAL
FEDERAL RESTRICTIONS AFTER
DISASTERS.
SO IF YOU GET A DISASTER
DECLARATION YOU GET ALL THE
FEDERAL AID.
IT'S NOT TIED TO RENTER
PROTECTION THERE'S NO RENTER
EVICTION MORATORIUMS OR OTHER
SUPPORT FOR RENTERS AND SO THIS
IS AN EXAMPLE ABOUT HOW WE ARE
NOT REALLY PROTECTING RENTERS.
A WHOLE SUBSET OF THE POPULATION
DURING THE EXTREME EVENTS.
ANOTHER EXAMPLE WE LOOK AT IS
HURRICANES AND ELECTRIC POWER
RELIABILITY.
THE NUMBER OF MAJOR POWER LOSS
EVENTS FROM WEATHER HAS RISEN
BETWEEN DEPENDING ON THE YEAR,
FOUR AND EIGHTFOLD SINCE 2000
AND EXPECT THAT TO INCREASE
RAPIDLY WITH CLIMATE CHANGE.
THAT'S OUTAGES, LONG DURATION
OUTAGES WITH MORE THAN 50,000
CUSTOMERS WITHOUT POWER.
LAST YEAR WAS OVER 120,000 I
BELIEVE.
THE DEMAND IN REQUIREMENTS FOR
ELECTRIC POWER IS NOT UNIFORM
ACROSS DEMOGRAPHICS.
WE THINK EVERYBODY NEEDS POWER
EQUALLY BUT IT'S NOT TRUE.
HEAT ISLANDS REQUIRE MORE SPACE
CONDITIONING.
WE NEED TO WARM OR COOL SOME
AREAS MORE.
MEDICALLY FRAGILE INDIVIDUALS
MAY NEED ELECTRIC POWER FOR
SUPPLEMENTAL OXYGEN AND TO KEEP
MEDICATIONS COOL.
THERE'S DIFFERENTIAL ABILITY TO
RELOCATE.
AFTER 2012 IN D.C. MANY PEOPLE
LOST POWER FOR A WEEK OR MORE.
THERE WERE A LOT OF PEOPLE WHO
LEFT D.C. WHEN IT WAS OVER 100
DEGREES BUT NOT EVERYONE IS ABLE
TO JUST LEAVE WHEN THEY DON'T
HAVE POWER FOR A WEEK OR WEEK
AND A HALF.
SO WE LOOKED AT WHO IS LOSING
POWER AT WHAT RATES AND WHAT'S
THE POWER RELIABILITY ACROSS
DEMOGRAPHICS AND HOW LONG DOES
IT TAKE TO GET POWER BACK ON.
WE LOOKED AT HURRICANE ISAAC
AND, LOUISIANA, I BELIEVE 2017
BUT I MAY BE WRONG ABOUT THAT
AND HOW STORM SEVERITY, INCOME
AND RACE PLAY INTO RECOVERY
TIMES.
THE MORE OUTAGES YOU HAVE THE
LONGER RECOVERY TIME BUT THE
HIGHER INCOME YOU HAVE THE LOWER
RECOVERY TIME.
IT TAKES LESS TIME TO GET YOUR
POWER BACK ON THEN IF YOU'RE
RICH AND YOU'RE SUPPOSED TO
PRIORITIZE DENSE AREAS FIRST SO
THIS UTILITY IS PRIORITIZING THE
OUTSKIRTS FIRST.
WHICH IS ACTUALLY VERY
CONCERNING.
IT'S MIXED WITH RACE.
WE FOUND IF YOU'RE SURROUNDED BY
WHITE POPULATION OR COMMUNITIES
YOU'RE LIKELY TO HAVE POWER
RESTORED SOONER THAN IF YOU ARE
NOT SURROUNDED BY WHITE
COMMUNITIES AND MAKING SURE YOU
HAVE WHITE NEIGHBORS IS A BIG
DETERMINATE OF WHEN HAVE YOU
POWER BACK ON.
MIXED FINDINGS WE FOUND POWER IS
NOT CONSISTENTLY RESTORED FAST
OR QUICK TO POLICE STATIONS OR
HOSPITALS AND THIS IS ACTUALLY
CONSISTENT WITH INTERVIEWS WE'VE
HAD WITH UTILITIES.
THEY BELIEVE THERE SHOULD BE
SUFFICIENT BACK UP GENERATION AT
THE FACILITIES.
THEY DO NOT ALWAYS PRIORITIZE
THOSE AREAS.
ANOTHER PROJECT WE LOOK AT IS
SEA LEVEL RISE AND THE IMPACTS
ON INFRASTRUCTURE.
IT WILL NOT BE FELT EVENLY.
POORER AREAS ARE MORE EXPOSED TO
SEA LEVEL RISE.
A LOT OF WORK I DO IS ON THE
EASTERN SHORE OF MARYLAND AND
ONE AREA IS SEPTIC SYSTEMS.
20% OF HOMES IN THE U.S. ARE ON
SEPTIC BUT IT'S A HUGE MAJOR
HEALTH PROBLEM.
YOU HAVE SEPTIC, YOU HAVE SEA
LEVEL RISE, INTERACTING WITH
SEPTIC YOU DEGRADE WASTE WATER
AND THIS IS A MAJOR HEALTH
PROBLEM AND CAUSES
GASTROENTERITIS AND WE EXPECT
HOOK WORK.
57% OF CHILDREN SAMPLES IN A
COUNTY IN ALABAMA WERE FOUND TO
HAVE HOOK WORM BECAUSE OF THE
FAILING SEPTIC SYSTEM.
WE'RE LOOKING AT WHAT TO DO
ABOUT THIS.
NOW THERE'S A COMPOUNDED
VULNERABILITY.
YOU LOOK AT INFRASTRUCTURE
INVESTMENTS IN BLACK COMMUNITIES
VERSUS WHITE.
WHITE COMMUNITIES ARE FAR MORE
LIKELY TO BE ON SEWER THAN ON
SEPTIC BECAUSE OF BELIEFS OVER
ABILITY TO PAY.
WE SEE THIS EVEN TODAY.
WE WORK WITH A HISTORICALLY
AFRICAN AMERICAN COMMUNITY ON
THE EASTERN SHORE WHO WANT TO BE
ON SEWER SYSTEMS BUT CAN'T GET
ACCESS TO A SEWER WASTE WATER
TREATMENT PLANT BECAUSE EVEN
TODAY THERE'S A BELIEF THEY WILL
NOT BE ABLE TO PAY THE BILLS.
IF YOU'RE ON SEPTIC YOU'RE
INELIGIBLE FOR PUBLIC AID IF
YOU'RE ON SEWER YOU CAN GET AID
SO WHO WILL BE EXPOSED TO SEPTIC
SYSTEMS AND CLIMATE CHANGE?
WHAT'S THIS MEAN FOR HEALTH?
MARYLAND IS AN INTERESTING STATE
BECAUSE IF YOU COME TO THE
HOSPITAL OR YOUR DOCTOR WITH
GASTROENTERITIS AND THEY ASK YOU
AND WE HAVE MEDICAL DATA ARE YOU
ON SEPTIC OR WELL WATER?
WE KNOW WHO AND WHAT WE CAN
CORRELATE THAT WITH THE TIDES
AND LOOK AT PRECIPITATION IT
KNOW WHEN SOME OF THE CAUSES OF
THE ILLNESSES.
WE'RE WORKING ON HOW TO USE
GREEN BANKING AND OTHER
INNOVATIVE FINANCIAL MECHANISMS
TO HOMEOWNERS CAN IMPROVE THEIR
SEPTIC SYSTEMS OR LOOK AT
ALTERNATIVE TECHNOLOGIES TO
REDUCE THE RISK.
I WILL END THERE.
I'LL REMIND EVERYONE,
INFRASTRUCTURE CAN BE A HAZARD
AMPLIFIER.
THERE'S A REASON WHY WE THINK
THAT -- THERE'S NOT ONLY DO WE
TALK ABOUT THE BUILT ENVIRONMENT
BEING PROBLEMATIC BUT THERE'S A
REAL REASON.
A LOT OF IT IS BY DESIGN.
I WANT TO THANK MY FUNDERS, EPA,
NATIONAL SCIENCE FOUNDATION AND
THE NATIONAL ACADEMIES AND HAPPY
TO ANSWER ANY QUESTIONS ON WIKI.
>> THERE'S ONE QUESTION SAYING
USING ZIP CODE OR AIS IS TO
LARGE OF A BLOCK TO SEE WHAT'S
HAPPENING.
>> FOR OUTAGES?
>> IS THERE ANYTHING PEOPLE CAN
DO TO GET HIGHER SPATIAL
INFORMATION?
>> OUTAGES SO UTILITIES ARE
PRIVATELY OWNED SO IT'S
EXTREMELY CHALLENGING TO GET MUE
TILT DATA.
-- UTILITY DATA AND NO UTILITY
WOULD EVER GIVE YOU DATA TO DO
THIS.
THAT'S NOT GOING TO HAPPEN
UNLESS THEY'RE FORCED BY A
REGULATOR.
AND IF YOU HAVE A SMART METER IN
YOUR HOUSE YOU KNOW THE MOMENT
THE HOUSE LOSES POWER AND GOES
BACK ON.
THAT DATA IS VERY CHALLENGING TO
GET BUT THEY REALLY CONTROL WHY
THAT DATA -- THEY'RE REQUIRED BY
LAW TO POST EVERY 15 MINUTES AT
THE ZIP CODE AND THEN THEY
DELETE THE DATA SO YOU HAVE TO
CONTINUOUSLY SCRAPE TO GET THAT
DATA.
IT'S NOT DATA THAT THEY WANT YOU
TO HAVE BECAUSE IT'S A PRIVATE
COMPANY.
THEY DON'T WANT -- THEY'RE ALSO
NOT INTERESTINGLY REGULATED ONCE
YOU GET A MAJOR POWER EVENT THE
REGULATIONS DON'T APPLY ANY MORE
YOU DON'T HAVE THE RELIABILITY
STANDARDS THEY HAVE TO ADHERED
TO BECAUSE IT'S CONSIDERED FORCE
MAYOR TO APPLY SO IT WOULD BE
GREAT TO GET THIS DATA BUT NOT
IN THE CARDS FOR THIS TYPE OF
RESEARCH.
--
>> THERE'S A LOT OF QUESTIONS ON
THE WIKI AND SURE THE PRESENTERS
WILL BE HAPPY TO ANSWER ON THE
WIKI.
>> AS WE PULL UP THE THIRD
PRESENTATION, I'M DELIGHTED TO
INTRODUCE OUR THIRD SPEAKER,
JASMINE KLINEAS FROM EMORY
UNIVERSITY AND A K-99 RECIPIENT
FROM THE NCI AND THE REASON WE
INVITED HER IS SUMMARIZED WELL
IN THE GOAL ON THE RESEARCH ON
THE WIKI TO UNDERSTAND HOW
SOCIAL STRUCTURAL INFLUENCES OF
HEALTH DRIVE CANCER DISPARITIES.
I HOPE WE CAN LEARN A LOT FROM
HER TODAY AND IN THE BREAKOUT
SESSION WE'RE HOPING TO DISCUSS
THIS FURTHER IN TERMS OF HOW CAN
WE INTEGRATE THIS IN THE
MULTISCALE MODELING WE DO.
>> THANK YOU FOR INVITING ME TO
YOUR GUYS' SPACE.
I'VE NEVER BEEN TO THIS
SYMPOSIUM AND LEARNED A LOT.
I TRIED TO INCORPORATE A FEW
THINGS FROM THE DIFFERENT TALKS
TOWARDS THE END BUT WE'LL SEE
HOW THAT GOES.
THIS IS THE TITLE I USUALLY GIVE
FOR MY TALKS, BUT I'LL ALSO BE
PROVIDING SOME FRAMEWORK AND
GUIDING PRINCIPLES THAT ALLOW ME
TO APPROACH THE WORK I DO
BECAUSE I THINK THAT MAY BE
HELPFUL FOR YOU ALL.
ONE OF THE FIRST THINGS I LIKE
TO SHOW PEOPLE IS WHO I AM.
I THINK ALL OF US BRING WHO WE
ARE INTO OUR WORK AND HELPS US
THINK ABOUT THE QUESTIONS WE
COME UP WITH AND HELPS THINK
ABOUT WHAT DRIVES THE RESEARCH.
FOR ME, AND I ALWAYS HAD A MASK
ON SO I WAS LIKE THIS IS WHAT I
LOOK LIKE.
YOU CAN SEE THAT.
I'M A BREAST CANCER RESEARCHER
AND TRAINED CANCER BIOLOGIST AND
HAS BEEN WORKING IN THE
MOLECULAR EPIDEMIOLOGY FIELD AND
AM A MOTHER AND WIFE AND DO A
LOT OF COMMUNITY DEVELOPMENT
WORK.
ALL THESE ASPECTS OF MY LIFE
SHAPE MY RESEARCH QUESTIONS AND
WHAT I DO AND WHY I DO IT.
ONE OF THE THINGS THAT'S
IMPORTANT IS TO SHARE SOME OF MY
WORKING DEFINITIONS I USE.
THESE ARE MOSTLY FROM THE CDC.
WHEN WE THINK ABOUT HEALTH
EQUITY IT'S THE STATE IN WHICH
EVERYONE HAS A FAIR AND JUST
OPPORTUNITY TO ATTAIN THEIR
HIGHEST LEVEL OF HEALTH.
SO THERE'S DIFFERENT THINGS THAT
NEED TO BE ADDRESSED IN ORDER TO
ACHIEVE HEALTH EQUITY.
SOME ARE HISTORICAL AND
TEMPORARYIN JUSTICES AND THERE'S
OTHER -- TEMPORARY INJUSTICES
AND PREVENTIBLE HEALTH
DISPARITIES.
THIS GRAPHIC IS HELPFUL.
WHEN WE THINK OF EQUALITY THAT'S
EVERYBODY GETTING EVERYTHING
EQUALLY AND THAT'S NOT WHAT
HELPS ACHIEVE EQUITY WHICH IS
EVERYBODY GETTING WHAT THEY NEED
TO BE HEALTHY.
THE DEFINITION I USED IS THEY'RE
PREVENTIBLE DIFFERENCES IN THE
BURDEN OF DISEASE, VIOLENCE,
EXPERIENCED BY SOCIALLY
DISADVANTAGED POPULATIONS.
WHAT CAN WE IDENTIFY THAT'S
PREVENTIBLE WE CAN INTERVENE ON
THAT HELP US TO ELIMINATE THESE
DISPARITIES?
THE DEFINITION I THOUGHT WOULD
BE HELPFUL AND I LOOK AT RACIAL
HEALTH DISPARITIES AND WHAT IS
RACE.
IT'S A HOT TOPIC AND PEOPLE LIKE
TO INCORPORATE RACE INTO THEIR
RESEARCH BUT IT'S ULTIMATELY A
SOCIAL CONSTRUCT AND IT'S WHAT
WE USE TO GROUP PEOPLE AND
TYPICALLY WE USED IT AS A
HIERARCHICAL SYSTEM TO GROUP
PEOPLE.
BASED MOSTLY ON COLOR OF SKIN
AND COULD HAVE BEEN HEIGHT BUT
WE CHOSE SKIN FOR SOME REASON
IT'S NOT A BIOLOGICAL CONSTRUCT
AS MUCH AS SOCIAL.
BECAUSE WE LIVE IN A SOCIAL
SOCIETY IT STILL HAS
IMPLICATIONS FOR OUR HEALTH AND
SHOULD BE MINDFUL OF RACE AND
THOUGHT.
IN HOW AND WHY WE DO IT.
SO MY FRAMEWORK I USE FOR
STUDYING HEALTH DISPARITIES
SCALES FROM THE POPULATION ALL
THE WAY DOWN TO THE CELL.
SO I LOOK AT HOW POPULATIONS ARE
EXPOSED TO DIFFERENT
DETERMINATES OF HEALTH AND HOW
IT IMPACTS THEIR OUTCOMES AND
HOW THAT IMPACTS BIOLOGY.
SOME OF MY GUIDING PRINCIPLES IN
THIS FIELD, ONE THE FIRST
QUESTION IS ARE THERE HEALTH
DISPARITIES IN THE MODELS OF
DISEASE I STUDY, WHICH THERE ARE
BUT THESE ARE QUESTIONS YOU CAN
ASK YOURSELF.
THERE'S TYPICALLY A LOT OF
RESEARCH DONE MAYBE IN OTHER
FIELDS.
IT'S IMPORTANT TO LOOK AT THE
PRIOR LITERATURE AND ADVANCES IN
THESE FIELDS THAT MAY HELP ME
DETERMINE WHETHER HEALTH
EQUITIES RESEARCH IS SOMETHING I
CAN INCORPORATE AND ARE THERE
STRUCTURAL OR SOCIAL
DETERMINATES OF HEALTH AND I
APPRECIATE THE PRESENTATION ON
THE BUILT ENVIRONMENT AND HOW IT
HAS AN IMPACT ON SO MANY THINGS.
MAYBE THERE'S OTHER DETERMINATES
OF HEALTH THAT IMPACT OUR MODELS
OR DISEASES THAT WE COULD BE
MORE THOUGHTFUL ABOUT.
THE THIRD QUESTION IS HOW CAN WE
DESIGN OUR CITIES TO CONTRIBUTE
TOWARDS HEALTH EQUITY.
WHO HAS CONTRIBUTED TO DESIGNING
THE MODEL OR THE QUESTION AND
WHAT ARE SOME OF THE POTENTIAL
BIASES THAT CAN ARISE BASED ON
WHO IS CONTRIBUTING OR NOT
CONTRIBUTING.
SO WHAT ARE OTHER PEOPLE I CAN
BRING IN IF THAT'S HELPFUL.
WHAT ARE OTHER SPACES I COULD
TOUCH ON TO BETTER HELP INFORM
THE QUESTION OR DESIGN OF MY
STUDY AND HOW IS THE MODEL BEING
TRAINED AND WHAT'S THE INPUT AND
IS IT REPRESENTATIVE OF THE
POPULATION OF INTEREST.
THAT'S ONE OF THE LIMITATIONS I
WAS MENTIONING IN THE EARLIER
STUDY.
A LOT OF WORK ESPECIALLY IN THE
BIO LOGIC FIELD IS LIMITED TO
CERTAIN POPULATIONS AND DOESN'T
ALWAYS SCALE TO OTHER
POPULATIONS OR REPRESENTATIVE OF
ANYONE.
THE FOURTH QUESTION IS WHY AM I
DOING HEALTH EQUITY RESEARCH AND
A FRIEND BROUGHT THIS UP
YESTERDAY, IT'S A HOT TOPIC AND
THERE'S SO MANY FUNDING
OPPORTUNITIES BUT WE WANT TO
AVOID HEALTH EQUITY TOURISM AND
THAT COULD BE DAMAGING IF WE'RE
NOT CONSCIOUS AND THOUGHTFUL
ABOUT WHY WE'RE DOING IT AND
THINKING WITH THE BIASES AND
THINKING ABOUT HOW WE WANT TO
DEVELOP OUR QUESTION.
I'LL GIVE THE EXAMPLE IN BREAST
CANCER THE WORK I DO.
MANY ARE PROBABLY FAMILIAR THAT
ONE IN EIGHT WOMEN WILL DEVELOP
AN INVASIVE BREAST CANCER DURING
HER LIFE TIME.
FOR MOST OF US IT'S MAYBE NOT A
STATISTIC.
MAYBE WE KNOW SOMEBODY, A
SISTER, FRIENDS, PARENT FOR ME
IT'S MY GRANDMOTHER SHE WAS
DIAGNOSED AT THE AGE OF 49 AND I
WAS AROUND 7 YEARS AND I THOUGHT
I'M GOING TO CURE BREAST CANCER
AND AS MANY CONFIDENT YOUNG
PEOPLE SAY.
I DID NOT BUT I'M MAKING AN
EFFORT TO CONTRIBUTE TO THE
FIELD AND KEPT MY PROMISE TO
HER.
WHY FOR ME IT'S AN EXAMPLE OF
HEALTH DISPARITIES?
ONE, THERE ARE RACIAL
DISPARITIES IN BREAST CANCER
MORTALITY IF YOU LOOK AT THE
GRAPH FROM THE AMERICAN BREAST
CANCER SOCIETY WE FOCUS ON THE
TWO BARS ON THE LEFT AND
NON-HISPANIC WHITE WOMEN HAVE A
HIGHER INCIDENT THAN
NON-HISPANIC BLACK WOMEN BUT NOT
NON-HISPANIC BLACK WOMEN IN THE
40% MORE LIKELY TO DIE OF THEIR
BREAST CANCER.
WHY THIS IS THE CASE THE WIDEST
GAP IS NOT WELL KNOWN.
AND THERE'S SOME ARE AT THE
TUMOR LEVEL, TREATMENT, QUALITY
OF TREATMENT AND NOW THE
STRUCTURAL DETERMINATES OF
HEALTH.
NATIONALLY 40% OF BLACK WOMEN
ARE LIKELY TO DIE THAN WHITE BUT
IN ATLANTA WHERE I DIE, BLACK
WOMEN ARE TWICE AS LIKELY TO DIE
SO IT'S IMPORTANT FOR THE
POPULATION I STUDY IN
PARTICULAR.
AS A CANCER BIOLOGIST I TRY TO
UNDERSTAND HOW THAT MIGHT
CONTRIBUTE.
SO WHY TUMOR CARE IS IMPORTANT.
FOR BREAST CANCER THERE'S
DIFFERENT SUB TYPES AND FOUR
TYPICALLY IN THE CLINIC AND
TYPED BY DIFFERENT RECEPTOR
STATUS AND DIFFERENT POSITIVE
RECEPTORS THAT HAVE A
COMBINATION OF ONE OF THESE
THREE RECEPTORS AND THEY TEND TO
BENEFIT FROM TARGETED THERAPY.
AND HAVE A BETTER PROGNOSIS THAN
WOMEN THAT HAVE TRIPLE-NEGATIVE
BREAST CANCER WHICH DON'T
EXPRESS ANY OF THE RECEPTORS AN
THEREFORE DON'T BENEFIT FROM
TARGET THERAPIES ONLY TYPICALLY
GET TREATED WITH CHEMOTHERAPY
AND UNFORTUNATELY ABOUT 50% OF
THESE PATIENTS ARE RESISTANT TO
CHEMOTHERAPY SO THEY'RE
NON-RESPONDERS.
IT'S IMPORTANT TO THINK ABOUT
THIS WITH THE DISPARITIES
BECAUSE BLACK WOMEN ARE MORE
LIKELY TO BE DIAGNOSED WITH
TRIPLE NEGATIVE BREAST CANCER
COMPARED TO THEIR WHITE COUNTER
PARTS AND SO THERE'S SUBTYPES TO
NOTE AS WELL.
I DIDN'T SHOW MY DISSERTATION
WORK IN NANO THERAPEUTICS AND
DETERMINING DRUG RESISTANT
PATHWAYS BUT ONCE I COMPLETED
THAT FIVE YEARS OR SO OF WORK
THE QUESTION STILL LINGERED WHY
ARE BLACK WOMEN MORE LIKELY TO
GET TRIPLE NEGATIVE BREAST
CANCER?
DOING PRELIMINARY RESEARCH I SAW
THERE WERE INDIVIDUAL-LEVEL
CHARACTER
CHARACTERISTICS AND LOOKING AT
GENETIC OR LIFESTYLE OR OBESITY
AND PREGNANCY FACTORS AND NONE
ROSE TO THE REASON AND WHILE WE
PRIMARILY HAVE FOCUSSED ON
INDIVIDUAL-LEVEL RISK FACTORS WE
UP TO THIS POINT WE NEED TO KNOW
WHAT'S HAPPENING ABOVE THE SKIN
AND LOOKING AT STRUCTURAL
INEQUITIES AND INJUSTICES THAT
DRIVE LIVED ENVIRONMENTS AND CAN
HAVE IMPLICATIONS FOR BELOW THE
SKIN.
ADDRESSING DISEASE WILL REQUIRE
HOW STRUCTURAL INEQUITIES IMPACT
HEALTH.
SO I TALK ABOUT STRUCTURAL
RACISM AND IN 2021 THE CDC
DECLARED RACISM AS A PUBLIC
HEALTH ISSUE.
AND STRUCTURAL RACISM IS DEFINE
AS IDEOLOGIES THAT GENERATE AND
PERPETUATE INEQUITIES BETWEEN
RACES.
I USE RED LINING AS A VARIABLE
THAT'S UPSTREAM OF BIOLOGICAL
FACTORS TO DETERMINE AND THIS IS
A MAP OF ATLANTA.
A FOLK MAP FROM THE 1930s.
AS MENTIONED BEFORE, RED LINING
HAS BEEN OUTLAWED SINCE THE
1960s BUT THERE'S A PRESENT DAY
SYSTEM OF DENIAL OF MORTGAGES
BASED ON PLACE AND IT IMPACTING,
HOUSING, HEALTH CARE, NUTRITION,
GREEN SPACE ALL THE THINGS WE
TALKED ABOUT ALREADY EVEN THE
TEMPERATURE OF A PLACE.
SO IT'S AN INDICATOR I LIKE TO
USE BECAUSE IT'S SO FAR UPSTREAM
AND WE CAN START UNPACKING THE
DOWN STREAM AFFECTS.
THE QUESTION DOES STRUCTURAL
RACISM IMPACT HEALTH OUTCOMES?
IN OUR GROUP WE LOOKED AT
CONTEMPORARY RED LINING WITHIN
THE METRO AREA USING FIVE
COUNTIES AND SAW LIVING IN A
CONTEMPORARY RED LINE AREA WAS
ASSOCIATED WITH A 60% INCREASE
IN BREAST CANCER MORTALITY.
THIS IS WHEN WE ADJUSTED FOR AGE
AND RACE.
AND 80% OF NON-HISPANIC BLACK
WOMEN VERSUS 20% OF NON-HISPANIC
BLACK WOMEN LIVED IN THE RED
LINE DISTRICTS AND LIVING IN A
RED LINE AREA YOU'RE MORE LIKELY
TO BE DIAGNOSED WITH TRIPLE
NEGATIVE BREAST CANCER OR HAVE
ED STAGE DISEASE.
AS A TRAINED CANCER BIO
BIOLOGIST WHAT'S THE SOCIAL
STRUCTURAL DETERMINATE OF HEALTH
LIKE RED LINING IN THE HEALTH
OUTCOMES?
ONE TOOL IS LOOKING AT THE
EPIGENOME MEDIATOR AT THE
BIOLOGICAL LEVEL.
THE EPIGENOME IS A GREAT TOOL
BECAUSE IT DOESN'T CHANGE TO THE
SEQUENCE BUT LOOKING AN TOP OF
THE DNA THAT CHANGE THE GENE'S
ABILITY TO BE EXPRESSED.
SO DNA METHYLATION, MODIFICATION
TO THE HISTONE AND THINGS
INFLUENCED BY SOCIAL
DETERMINATES OF HEALTH, DIET,
PHYSICAL ACTIVITY, STRESS THAT
CAN CHANGE EPIGENETIC
MODIFICATIONS AND POTENTIALLY
CHANGING OUTCOMES FOR BREAST
CANCER PATIENTS.
I CAN CALL EPIGENOME WIDE
ASSOCIATION STUDIES THEY CAN
MEASURE GENOME WIDE MARKS AND
DNA METHYLATION MARK ON 8,000
SITES CALLED CPG SITES AND LOOK
AT CASES AND CONTROLS COMPARING
PEOPLE IN RED LINED AREAS
COMPARING THOSE WHO DO NOT AND
MEASURE METHYLATION.
REGRESSING METHYLATION VALUES ON
THESE CPG SITES.
SO WE CAN LOOK AT DIFFERENTIAL
METHYLATION AND LOOK AT
DIFFERENCES IN EPIGENETIC AGE
WHICH IS USING COMPOSITES OF THE
METHYLATION MARKS AND SEEING
WHETHER THERE'S DIFFERENCE IN
BIOLOGICAL AGE, WHICH IS THE
EPIGENIC AGE AND CHRONOLOGICAL
AGE IN AGE ACCELERATION.
LIVING IN A CONTEMPORARY RED
LINE NEIGHBORHOOD AND LOOKING AT
PLACE BASED STRUCTURAL RACISM
AND LOOKING AT A GENOME WIDE
ASSOCIATION STUDY AND A PILOT
STUDY AND 80 WOMEN AND
DIFFERENTIAL METHYLATION AND RED
LINING.
WE CONTEMPORARY RED LINING IS
ASSOCIATED WITH METHYLATION WITH
BREAST CANCER AND SITES WERE
ASSOCIATED.
THIS IS A VOLCANO PLOT.
THIS IS AFFECT SIZE ON THE X
AXIS.
ALL THESE ARE HAVE A POSITIVE
EFFECT SIZE MEANING THEY WERE
HYPERMETHYLATED OR HAD AN
INCREASE IN METHYLATION AND ALL
IN THE BOX ARE STATISTICALLY
SIGNIFICANT.
AND LOOKING AT DEVELOPMENT
PROCESSES AND ONCOGENIC
SIGNALLING AND ALL THE THINGS
THAT WOULD SUPPORT THAT THESE
WOULD ENHANCE BREAST CANCER
OUTCOMES.
WE ALSO LOOKED AT INTERACTION
BY E.R. STATUS AND DIDN'T SEE
ANYTHING STATISTICALLY
SIGNIFICANT.
WE SAW INTERESTING TRENDS WHERE
IF YHERE ON THIS AXIS IT
INCREASED BY ALL 36 SITES VERSUS
IF YOU HAD NO E .R. RECEPTOR YOU
HAD HIGH METHYLATION ACROSS THE
BOARD.
QUITE INTERESTING.
IN LOOKING AT EPIDEMIC AGE WAS
ASSOCIATED WITH BREAST CANCER
AND ADJUSTING FOR AGE LIVING IN
A RED LINE AREAS YOU'D BE FIVE
YEARS OR SO OLDER BIOLOGICAL
THAN THOSE IN RED LINE AND
ADJUSTING FOR AGE AND RACE IT
INCREASE THE ASSOCIATION TO 6.6
YEARS OLDER.
AND LOOKING AT BREAST CANCER
MORTALITY AND LOOKING AT THE
HAZARD RATIOS.
THERE'S ACTUALLY A 5% DECREASE
IN MORTALITY WITH ONE OF THE
PLOTS WHICH IS INTERESTING BUT
ALSO THERE'S REASONS I WON'T GET
INTO BECAUSE OF TIME.
SO THERE'S LIMITATIONS TO THIS.
WE HAD A SMALL SAMPLE SIZE AND
FOCUSSED ON THE DNA METHYLOME
AND LOOKING AT DOWN STREAM
IMPACTS OF GREEN EXPRESSION.
WE DID IDENTIFY NOVEL
ASSOCIATION BETWEEN RED LINING
AND THE BREAST TUMOR DNA
METHYLOME AND THE DATA ARE THE
FIRST TO SHOW CONTEMPORARY
RACISM POLICIES IMPACT THE
BREAST TUMOR GENOME.
AND STRUCTURAL EQUITIES HAVE
INEQUITIES AND THERE'S PERTURB
BASES ON BREAST CANCER OUTCOMES.
ALL THE WORK WENT INTO
DEVELOPING MY K-99 NOW MY
CURRENT RESEARCH INVESTIGATING
THE SOCIAL AND STRUCTURAL
DETERMINATES OF HEALTH TO
UNDERSTAND THE ETIOLOGY IN
BREAST CANCER.
I'VE PRIMARILY TALKED ABOUT
BREAST CANCER MORTALITY BUT IF
WE THINK OF THE CANCER CARE
CONTINUUM IT HAS MANY
COMPONENTS, ETIOLOGY IN WHY
PEOPLE DEVELOP BREAST CANCER IS
WHAT I'M FOCUSSING ON NOW.
LOOKING AT RED LINING, PRIMARILY
HISTORIC RED LINING AND HOW IT
IMPACTS THE DEVELOPMENT OF
TRIPLE NEGATIVE BREAST CANCER
AND LOOKING AT ONO GENIC
SIGNAL -- ONCOGENIC SIGNALLING
ACTIVATION AND I'LL SUBMIT FOR
PUBLICATION BUT LIVING IN A RED
LINE AREA WAS ASSOCIATED WITH
AGE INCREASE OF DEVELOPING
TRIPLE NEGATIVE BREAST CANCER.
NOW WE'RE MOVING INTO THIS AIM 2
AND AGAIN LOOKING AT DIFFERENT
METHYLATION AND AGE METHYLATION
AND OTHER DOWN STREAM FUNCTIONAL
ASSAYS TO BE ABLE TO DETERMINE
WHETHER WE SEE SOME FUNCTIONAL
IMPLICATIONS TO SOME OF THESE
EPIGENETIC CHANGES.
RED LINING IS ASSOCIATED WITH
BIOLOGICAL MECHANISMS UNDER TE
SKIN AND FURTHER WORK IS NEEDED
TO ELUCIDATE MECHANISMS AND
INSIGHTS GOVERNING BREAST CANCER
DISPARITIES.
THIS IS WHERE I TRY TO
INCORPORATE SOMETHING I SAW
YESTERDAY AND I SAW THE 10
SIMPLE RULES FOR CREDIBILITY IN
MODELS.
BUT SOME ARE HELPFUL IF WE'RE
THINKING ABOUT HEALTH EQUITY AND
IN THE MODELS WE MIGHT BE USING.
AND FIRST DEFINE THE CONTEXT
CLEARLY.
IN WHAT CONTEXT AM I ABLE TO USE
HEALTH EQUITY?
WHAT AM I TRYING TO INCORPORATE
AND WHAT DOES IT MAKE SENSE FOR
MY MODEL AND DISEASE AND AM I
USING THE APPROPRIATE DATA IS MY
GROUP INCORPORATING BOTH GROUPS
AND HOW WELL ARE THEY
REPRESENTED.
WHEN WE SHARE AND PUBLISHING WE
ONLY USE EUROPEAN ANCESTRY WE
SHOULD STATE THAT CLEARLY SO
PEOPLE KNOW THERE'S LIMITED
UTILITY IF WE'RE TRYING TO
EXPAND IT TO MORE GROUPS.
DOCUMENTING ADEQUATELY.
SOME OF THE DISPARITIES HAPPEN
NOT JUST IN THE MODELS
THEMSELVES BUT HOW WE SHARE WHAT
WE'RE DOING SO OTHER PEOPLE IN
SPACES WE'RE IN AND OTHER
COMMUNITIES AND COUNTRIES CAN
ALSO UTILIZE WHAT WE'RE DOING.
I THINK BEING ABLE TO DOCUMENT
WELL.
AND WE DISSEMINATE WELL IN OUR
OWN CONFERENCES AND JOURNALS BUT
WHEN IT COMES TO THE COMMUNITY
PARTNERSHIPS AND PEOPLE IMPACTED
BY THE HEALTH CONDITIONS WE
DON'T REALLY SHARE AS MUCH AS
WITH THEM AND IT'S HELPFUL I
THINK NOT ONLY FOR THEM BUT FOR
US TO BE ABLE TO SHAPE OUR
QUESTIONS BETTER WHEN WE
DISSEMINATE WHAT WE'RE TRYING TO
DO AND WHAT WE'RE LEARNING
BROADLY AND WITH OTHERS.
AND THERE ARE LIMITATIONS THAT I
SHOULD MENTION I HAD TO GO ON A
FOUR-YEAR POSTDOC TO BE TRAINED
ENOUGH TO UNDERSTAND WHAT
POPULATION SCIENTISTS WERE
SAYING SO I CAN INCORPORATE IT
INTO MY MOLECULAR RESEARCH.
TRYING TO UNDERSTAND OR TO LEARN
EACH OTHER'S LANGUAGE IS ENOUGH
SO WE CAN COLLABORATE IF WE
CAN'T DO OUR RESEARCH OURSELVES
AT LEAST HAVE COLLABORATORS TO
HELP GUIDE US SO WE CAN
INCORPORATE THIS REALLY
IMPORTANT TYPE OF WORK INTO WHAT
WE'RE DOING.
I'D LIKE TO ACKNOWLEDGE MY
COLLABORATORS AND MENTEES AND
THANK YOU SO MUCH.
>> SO HOW DO WE TALK TO THE
DIFFERENT RESEARCH COMMUNITIES
AND BUILD COLLABORATIONS.
ONE QUESTION THAT'S COME UP FOR
EVERYBODY AND WHAT KIND OF
COLLABORATIONS DO YOU THINK THE
MULTISCALE MODELING COMMUNITY
WOULD BENEFIT FROM TO START TO
BUILD THOSE CONNECTIONS?
>> THAT'S A GOOD QUESTION.
I THINK HAVING SOMEONE LIKE
MYSELF NOT IN THE SPACE AND I
COULD SEE HOW MY WORK COULD
INFORM YOUR WORK AND YOUR WORK
IS INFORMING MINE.
REACHING OUT TO MORE PEOPLE THAT
MAYBE TANGENTIALLY ARE RELATED
BUT NOT PART OF YOUR COMMUNITY
WOULD HELP PUSH YOUR SCIENCE
FORWARD.
I THINK THAT'S A FIRST STEP AND
ALWAYS LOOKING FOR
OPPORTUNITIES.
THIS MORNING AT THE HOTEL I GOT
SAT DOWN AT A RANDOM TABLE WITH
A NICE LADY AND WE STARTED
TALKING.
SHE DOES ALZHEIMER'S RESEARCH
AND WE DO CANCER PATRDISPARITIED
HAD TOUCH POINTS TO PUSH OUR
SCIENCES FORWARD IS HELPFUL TOO.
WE'RE INVOLVING THE COMMUNITY
BECAUSE WE DO NEED ASSISTANCE
AND YOUR THINKING AROUND HOW WE
WOULD MEASURE MODELS IN TERMS OF
CAMPUS AND STRUCTURAL
INTERVENTIONS AND SOCIAL
DETERMINATES OF HEALTH.
SO I DO WANT TO PUBLICLY THANK
GRACE PENG WHO IS A KEY PERSON
AND SERVING AS A PROJECT
SCIENTIST ON COMPASS AND THE
INVITATION AND THOUGHT PROCESS
TO INCLUDE US TO BE IN
DISCUSSION WITH YOUR COMMUNITY.
>> THE COMPASS GROUP IS AN
AMAZING GROUP TO WORK WITH AND
YOU'RE THE MOST ORGANIZED PEOPLE
I'VE EVER WORKED WITH.
>> ONE OF OUR BREAKOUT SESSIONS
WILL BE A COMBINATION OF SOCIAL
BEHAVIORAL MODELLING AND SOCIAL
DETERMINATES.
AND COME UP WITH CONCRETE ACTION
ITEMS AND NEXT STEPS IN TERMS OF
FURTHERING THESE EFFORTS IN
TERMS OF BETTER UNDERSTANDING
SOCIAL DETERMINATES.
I WANT TO THANK THE PANEL AND
THANK THE SESSION AND SO LET'S
GIVE EVERYONE A ROUND OF
APPLAUSE.
LET'S SEGUE TO THE NEXT MINI
SESSION WHICH IS WHERE WE'RE
GOING TO REVIEW OUR IMAG MSM
MISSION STATEMENT AND VISION.
ONCE WE GO THROUGH THE VISION
AND VISION STATEMENT WE'LL HAVE
EACH OF THE BREAKOUT LEADS HAVE
A ONE-MINUTE PITCH FOR THEIR
BREAKOUT SESSION AND AFTER THAT
DISPEND TO BREAK FOR LUNCH AND
START BREAKOUT SESSIONS.
LET'S START WITH THE VISION.
BASICALLY, WE DECIDED TO REVISIT
OUR ILAG -- IMAG MISSION WHICH
WAS CRAFTED A DECADE AGO.
WANTED TO PRESENT THIS TO THE
WHOLE CONSORTIUM TO GET YOUR
FEEDBACK.
THE VISION IS LISTED HERE
INSIGHTFUL APPLICATION OF EVER
INCREASING ADVANCES IN
COMPUTATIONAL MODEL OF
BIOLOGICAL AND BIOMEDICAL
SYSTEMS ACROSS WIDE RANGES OF
SPATIAL AND TEMPORAL SCALES.
HAS THE POWER TO PROVIDE A
RIGOROUS FRAMEWORK FOR
SCIENTIFIC DISCOVERY AND
TRANSLATION.
THE MISSION IS TO GROW AND
EXPAND THE FIELD OF MULTI-SCALE
MODELLING THROUGH DEVELOPMENT
AND APPLICATION OF MECHANISTIC
MATHEMATICAL AND COMPUTATIONAL
MODELS OVER WIDE RANGES OF
SPATIAL AND TEMPORAL SCALES AND
MULTIPLE LEVELS OF INVESTIGATION
THAT INCLUDE AN TOM CAG CAL --
ANATOMIC AND PHYSIOLOGICAL
FIELDS AND INTERDISCIPLINARY
COLLABORATIONS AN BUILD DIVERSE
COMMUNITY OF SCIENTISTS,
EXPERIMENTALISTS, CLINICIANS,
PUBLIC HEALTH EXPERTS AND OTHER
STAKEHOLDERS FROM DIFFERENT
MODELLING TECHNIQUES.
SECOND BULLET POINT IS
MECHANISM-BASED MODELLING AND
ARTIFICIAL INTELLIGENCE
PROPREDICTING REPRODUCIBLE
OUTCOMES.
THIRD, ENSURING THE
IMPLEMENTATION FOR CREDIBLE
PRACTICE FOR MODELLING AND FAIR
PRINCIPLES FOR SCIENTIFIC DATA
MANAGE TOWARDS INTEGRATING MODEL
DEVELOPMENT, DOCUMENTATION,
BENCHMARKING, SHARING AND REUSE.
FOUR, FACILITATING THE
DISSEMINATION OF MODELS AND
MODELLING INSIGHTS WITHIN THE
BIOMEDICAL, BEHAVIORAL AND OTHER
RELEVANT COMMUNITIES AND
ADOPTION BY STAKEHOLDER
COMMUNITIES AND FIVE,
ENCOURAGING MENTORING AND
PROVIDING ACCESS TO FUTURE
GENERATIONS OF MULTISCALE
MODELERS.
WE DEFINE THE DEFINITION OF MSM,
MULTISCALE MODELING AND MSM MOLT
MOTIVATION.
WE WANTED TO ENCOURAGE EVERYONE
TO GO TO THE WIKI TO OFFER
THOUGHTS AND TO GIVE EVERYONE AN
OPPORTUNITY TO SEE IF THERE'S
INITIAL REACTION AND SEE WHAT
THE CONSORTIUM AS A WHOLE AND A
TWO-MINUTE OPPORTUNITY FOR
ANYONE TO OFFER QUESTIONS OR
SUGGESTIONS.
>> IF THEY'RE INCLUSIVE DATA
ANALYSIS SO WE'RE MAKING IT UP
FRONT WE'RE ACKNOWLEDGING DATA
AND MAKING AN EFFORT TO BE
ADDRESSING THE ENTIRETY OF THE
U.S. POPULATION AND ALL THE DATA
COMING IN.
IF THERE'S A WAY TO WORD THAT IN
IN MEASURE LEARNING AND DATA
SCIENCE ASPECT.
>> I'M SORRY.
>> INCLUSIVE DATA ANALYSIS.
UNDERSTANDING IT'S GOING TO
BE -- IT'S AN EFFORT TO GET THAT
DATA AND ACKNOWLEDGE THE BIASES
AND THE DATA AVAILABILITY IF
THAT MAKES SENSE.
>> NOTED.
EXCELLENT POINT.
>> THERE'S MARK UP LANGUAGE
SINCE I SAW TALKS ON MARK UP
LANGUAGE AND IT'S CALLED THE
MARK UP STRATEGY LANGUAGE AND I
WAS ON THE COMMITTEE WITH AMBER
YEARS AGO AND IT WAS DEVELOPED
IN ORDER TO HELP THE UNFUNDED
MANDATE TO MAKE THE INTENTION
STAKEHOLDERS AND THE RESULTS OF
ANYBODY MACHINE READABLE SO
PEOPLE CAN DISCOVER JUST THOSE
THINGS ABOUT YOU.
IT'S AN ISO STANDARD AND
SUPPORTED BY AIM AN INFORMATION
GROUP AND STRATEGY MARK UP
LANGUAGE YOU CAN FIND QUICKLY ON
GOOGLE.
>> THANK YOU.
FOR THE INPUT.
>> IF THERE'S NO OTHER QUESTIONS
OR COMMENTS WE'LL MOVE ON TO THE
INTRODUCTION OF THE DIFFERENT
BREAKOUT SESSIONS.
WE HAVE FIVE DIFFERENT BREAKOUT
SESSION AND THE LEADS.
WE'LL PUT UP SLIDES FOR EACH OF
THE BREAKOUT SESSIONS.
LET'S START OUT WITH WE'LL GIVE
EACH OF OUR BREAKOUT SESSION
LEADERS A MINUTE.
STARTING WITH BREAK OUT SESSION
NUMBER 1, MEDICAL DIGITAL TWINS,
GARY AND LIZ.
>> I'LL START BY SAYING I HATE
THIS PARTICULAR PHRASE AND ONE
OF THE REASONS I HATE THIS
PARTICULAR PHRASE IS WHEN PEOPLE
TALK ABOUT MEDICAL DIGITAL TWINS
THEY SHOW A PICTURE OF AN
AIRPLANE ENGINE AND ITS DIGITAL
TO TWIN AND HAVE NOTHING TO DO
WITH WHAT THEY SUBSEQUENTLY CALL
A MEDICAL DIGITAL TWIN.
EVERY INDUSTRY TWIN THERE'S A
PLACE FOR MSM IN ACHIEVING THE
ASPIRATIONAL GOAL OF WHAT
DIGITAL TWINS SHOULD BE ABLE TO
DECIDE.
TO PREVIEW WHAT THE CONTENT OF
THIS BREAKOUT SESSION IS GOING
TO BE, WE'RE NOT GOING TO
RELITIGATE WHAT THE DEFINITION
OF A DIGITAL TWIN IS GOING TO
BE.
I PUT ALL THAT INFORMATION BASED
ON EXTENSIVE PRIOR MEMBERS THIS
PARTICULAR GROUP ON THE WIKI AND
BREAKOUT PAGE.
WE'RE DOING TO FOCUS HOW TO MOVE
FORWARD IN ACHIEVING THIS
ASPIRATIONAL GOAL OF TRYING TO
PARADOXICALLY IDENTIFY
INTERMEDIATE STEPS TO PROVIDE
BENEFITS WHILE WE'RE MOVING
TOWARDS THIS ASPIRATIONAL GOAL.
THANK YOU.
>> ALWAYS GREAT TO START OFF
WITH A STRONG STATEMENT.
>> AND SESSION TWO, NEW
MECHANISTIC ML METHODS WITH
GEORGE AND ILANA.
>> THERE'S TIME TO SOLUTION AND
INTERPRETATION AND DELIVERY OF
RESULTS.
WE DISCUSS HOW THE NEW METHODS
PHYSICS INFORM THE NETWORK.
AND NETWORKS TRANSFORM AND YOU
SAW THIS MORNING A VERY NICE
INTERPRETATION OF BOND GRAPHS
AND HOW THIS COULD HELP
MECHANISTIC MODELLING AND IN THE
FIRST HALF WE'LL DISCUSS VARIOUS
METHODS AND IN THE SECOND HALF,
THE LAST 45 MINUTES COME UP WITH
CONCRETE ACCOMMODATIONS.
>> OKAY.
THANK YOU.
THIS WILL BE IN NACHER ROOM D
AND ONE IN NATCHER ROOM A/B AND
THE THIRD BREAKOUT SESSION IS
SOCIAL BEHAVIORAL AND SOCIAL
DETERMINES OF HEALTH MODELS,
NETWORKS, PROBABILISTIC AND
STOCHASTIC MODELS.
WE HAVE JULIA BERZHANSKAYA AND
MYSELF.
>> WE'RE HOPING WE HAVE THE
BENEFIT OF THE PLENARY SESSION
AND WOULD LIKE TO SYNTHESIZE
WHAT WE LEARN FROM THE SESSION
AND BRING TO THE COMMUNITY AND
WHAT WE CAN DO AS MULTISCALE
MODELERS AND WHAT IS THE LOW
HANGING FRUIT TO TAKE ADVANTAGE
AND CONCRETE STEPS TO START
ADDRESSING HEALTH EQUITIES IN
OUR MULTISCALE MODELLING
COMMUNITY.
>> I'M SUVRANU AND I JOINED
BETWEEN FLORIDA A&M AND FLORIDA
STATE UNIVERSITY.
SO QUANTUM --
>> NEXT SLIDE.
>> SORRY.
THIS IS THE DISCUSSION I'LL HAVE
BUT I WANTED TO MAKE IT CLEAR
THAT QUANTUM COMPUTING IS NOT
JUST AN EVOLUTION AND NOT TO GET
THINGS DONE FASTER THAN
CLASSICAL COMPUTERS.
IT'S A FUNDAMENTALLY DIFFERENT
WAYS OF COMPUTING.
WHY DO I SAY SO?
IF I HAVE M BITS IN SPACE BUT IF
I HAVE A SINGLE CUBIC IT'S NOT
JUST ONE OR ZERO IT'S A SUPER
POSITION OF TWO STATES.
IF I HAVE A QUANTUM RATIO THAT
RESIDES IN A SPACE WHICH MEANS
IF I ADD ONE MORE IT DOUBLE THE
SIZE OF THE HYPER SPACE.
THAT'S OUTSTANDING?
WHY.
THE ENTIRE HUMAN GENOME HAS 3
BILLION BASE PAIRS.
THAT'S REALLY 34 CUBINS.
68 CUBETTS WILL HOLD THE
INFORMATION OF ALL HUMAN BEINGS
ALIVE.
I HOPE I GOT YOUR ATTENTION
WHICH MEANS WE CAN DO QUANTUM
MECHANICAL CALCULATIONS AT A
LEVEL WE COULD NEVER DO IN THE
PAST.
AND YOU'RE ALL IN THE CYCLE.
SO THE GOOD NEWS IS NOT ONLY ARE
THE START UPS COMING UP BUT THE
BIG BOYS, IBM, GOOGLE, MICROSOFT
ARE ALL JUMPING IN WITH A QUBIT.
EACH NEEDS HUNDRED LOGICAL QUBIT
IT MEANS A BILLION SYSTEM
WITH-2030.
THAT'S THE TIME FRAME COMING UP.
IN THE NEAR TERM IT'S A PRETTY
HI LEVEL BUT IN THE LONGER TERM
IT'S NOWHERE TO WHERE TO WHERE
REALITIES GOING TO BE.
>> THAT IN NATCHER 2 AND THE
LAST BUT NOT LEAST BREAKOUT
SESSION FIVE TRANSLATION AND
INCENTIVIZATION IN NATCHER ROOMS
F1 AND F2.
AND THAT'S FEILIM AND ELENA.
>> I'M ELENA A STAFF FELLOW IN
THE FOOD AND DRUG ADMINISTRATION
OF SCIENCE AND ENGINEERING LABS
AND WE'RE INTERESTED IN THINKING
AND HOW TO BRAIN STORM MSM TOOLS
IN PRACTICE AND HOW THEY CAN BE
TRANSLATED FOR OTHER
APPLICATIONS.
THE THINGS WE'LL DISCUSS IS WHAT
ARE THE CURRENT AND EXISTING MSM
TOOLS, WHO DEVELOPS THEM AND HOW
ARE THEY USED IN PRACTICE NOW?
WHAT ARE THE SPECIFIC DOMAINS AS
DIFFERENT SCALES.
WHAT ARE THE HURDLES AND THE
OPPORTUNITIES FOR DEVELOPING
THEM FURTHER.
WE'LL ALSO TALK ABOUT HOW TO
DEVELOP TRUSTWORTHY FOR CREDIBLE
TOOLS AND COMBINE TOOLS
TOGETHER.
VERY INTERESTED IN WHO IS IN
CHARGE OF THAT AND WHO CAN MAKE
STANDARDS AND WHAT ARE THE
STANDARDS WE CAN MAKE THERE?
AND FINALLY HOW CAN WE
DISSEMINATE THE TOOLS INTO
PRACTICE SO THAT THE COMMUNITIES
IN SMALL BUSINESS AND ACADEMIA
AND SMALL BUSINESS CAN USE THEM.
>> OKAY.
THANK YOU.
SO THESE NEXT BREAKOUT SESSIONS
WILL BE DIVIDED INTO TWO ROUNDS.
BASICALLY THE FIRST ROUND WILL
BE SOME GENERAL BRAIN STORMING
AND TRYING TO COME UP WITH
CONCRETE ACTION ITEMS, THINGS
YOU WOULD LIKE TO SEE THE MSM
CONSORTIUM DO OVER THE COMING
YEAR AND IN THE SECOND WILL BE
REFINING THESE AND SOLIDIFYING
THESE.
YOU DO HAVE THE OPPORTUNITY TO
SWITCH BREAKOUT SESSIONS IF YOU
WANT BETWEEN ROOMS 1 AND 2
BETWEEN ROUNDS 1 AND 2 AND WE'LL
ASK EACH BREAKOUT SESSION TO
COMPILE NOTES SO WE ALREADY HAVE
TEMPLATES TO BE PLACED ON THE
WIKI AND WE RECONVENE LATER THIS
AFTERNOON WE'LL HAVE REPORTS
FROM THE BREAKOUTS.
THE EMPHASIS IS WE CAN CONCRETE
IDEAS AND THINGS TO TAKE ACTION
ON OVER THE NEXT YEAR.
WITH THAT, GRACE, DO YOU HAVE
ANYTHING TO ADD?
>> THANK YOU ALL FOR DESCRIBING
YOUR BREAKOUT SESSIONS SO
WONDERFULLY.
WE ARE ABOUT 15 MINUTES BEHIND
SCHEDULE BUT THE PLAN IS TO GO
OUTSIDE, PICK UP YOUR LUNCH
BOXES AND GO TO THE RESPECTIVE
BREAKOUT ROOMS.
AS WE SAID, THERE'S TWO ROUNDS.
SO YOU'RE WELCOME TO GO TO TWO
BREAKOUTS OR ONE MORE BUT THE
IDEA IS ROUND TWO WILL BUILD ON
DISCUSSIONS OF ROUND ONE AND
WE'LL IS THE LEADS TO RECAP WHAT
WAS SYNTHESIZED IN ROUND ONE TO
HAVE FURTHER BUILD UP IN ROUND
TWO AND GO TO TO THE ATRIUM FOR
A SNACK BREAK COURTESY OF THE
SOCIETY FOR MATHEMATICAL BIOLOGY
AND WE'LL STAY THERE AND GO TO
THE POSTER SESSION AND THE IMAG
FOLKS WILL BE AT THE IMAG TABLE
TO ANSWER ANY GRANT QUESTIONS
YOU MIGHT HAVE AND THEN WE'LL
ALL RECONVENE HERE AT 3:15 TO
HERE THE SUMMARY OF THE BREAKOUT
SESSIONS AND THEN CLOSE WITH
FUTURE DIRECTIONS.
NOW, YOU SAW THE BREAKOUT SLIDES
ACTUALLY IN THE BREAKOUT SESSION
SO PLEASE GO TO THE BREAKOUT
SESSION PAGES TO SEE THE
DESCRIPTOR.
EACH BREAKOUT SESSION HAS ITS
OWN PAGE AND QUESTIONS AND
RESOURCES AND PLACES FOR YOU TO
POST COMMENTS THERE.
AS WELL IF YOU GO TO THE
BREAKOUT SESSION PAGE YOU'LL
FIND THE SLIDE DECK WE JUST
PRESENTED FROM.
THE NOTE TAKERS IN THE ROOM
DEPENDING ON HOW MANY PEOPLE
WILL BE IN THE ROOM COULD BE
SPLIT UP AND IF YOU REALLY
DIDN'T HAVE TIME TO ATTEND THE
BREAKOUT AND REALLY WANTED TO
ADD SOME THOUGHTS, FEEL FREE TO
GO AHEAD AND ADD A SLIDE IN
THERE AND PUT YOUR THOUGHTS IN
THERE TO MAKE SURE THE SCRIBES
CATCH YOUR THOUGHTS ABOUT IT OR
PUT IT IN THE COMMENTS IN THE
WIKI BUT THESE ARE THE SLIDES
THAT DESCRIBE AND THE MODERATORS
WILL BE USING TO COMPILE TO MAKE
THE SUMMARY SLIDES BY END OF THE
DAY AND TOMORROW WILL BE
AVAILABLE FOR YOU TO USE.
WE'LL ALL CONVENE BACK HERE AT
3:15.
WE'LL ALL CONVENE BACK HERE AT
3:15.
LIZ WAS SUGGESTING THE SNACK AND
POSTERS WILL HAPPEN AT THE
STATEMENT TIME ANY WAY.
ENJOY YOUR NEXT FEW HOURS AND
SEE YOU IN THREE HOURS.
BASICALLY THIS SESSION WE'LL GO
THROUGH EACH OF THE BREAKOUT
LEADERS.
THEY'RE GOING TO GO OVER THEIR
ACTION ITEMS AND REPORT OUT
SLIDES AND NEXT STEPS FOR THE
CONSORTIUM.
WE'LL START WITH DIGITAL TWINS
WHICH IS GARY AND -- WE'RE LIVE.
>> WE HAD A SPIRITED DISCUSSION
ABOUT DIGITAL TWINS.
ONE OF THE THING THAT CAME OUT
WHENEVER WE HAVE THE
CONVERSATION IN THE CONTEXT OF
MSM WE WANT TO DESCRIBE DIGITAL
TWINS THAT REQUIRE MSMs AND
MULTISCALE MECHANISM DIGITAL
MODEL TWINS AS YOU IF YOU WANT
TO TEST NOVEL DRUGS, NEW
INTERVENTIONS IN A BIOLOGICAL
CONTEXT IN WHICH THEY OTHERWISE
HAVEN'T BEEN TRIED YOU NEED THE
CAPABILITY FROM THE MECHANISTIC
MODEL.
THAT'S WHAT SEPARATES MSM OR
ORIENTED DTs FROM THE OTHER SET
OF THINGS PEOPLE ARE CALLING
DIGITAL TWINS.
THE OTHER THING THAT WAS A
RECOGNITION THAT WAS IMPORTANT
THAT SEPARATED THE COMPONENT
FROM A DIGITAL TWIN FROM A
REGULAR MODEL IS EXPLICIT
ATTENTION TO HOW YOU UPDATE THE
MODEL FROM AN NDT FROM DATA FROM
PATIENTS.
SO DATA ACCESSIBILITY IN A
LONGITUDINAL FASHION IS A
NECESSARY COMPONENT IN TERMS OF
DEFINING WHAT A DIGITAL TWIN
WOULD BE.
SO FROM THOSE PARTICULAR KIND OF
VERY HIGH LEVEL SUMMARIES, WE
CAME UP WITH A COUPLE OF THE
NEXT STEPS.
THE FIRST ONE WAS WHAT I REALLY
DIDN'T WANT TO HAVE TO BUT ENDED
UP ARRIVING AT WAS MAYBE A
COUPLE PAPERS.
ONE, ESSENTIALLY ACROSS DOMAIN
SERVE OF LARGE AMBITIOUS DIGITAL
TWIN PROJECTS NOT FROM INDUSTRY.
REINHARDT SUGGESTED A VIRTUAL
CITY OR EARTH AND THESE TYPES OF
AMBITIOUS PROJECTS MEET THE
SCOPE OF WHAT WE'RE LOOKING FOR
IN TERMS OF OUR ASPIRATIONAL
DIGITAL TWIN.
AGAIN, ANOTHER PAPER WOULD BE TO
STRONGLY CIRCUMSCRIBE A DEFINED
MULTISCALE MODELING DIGITAL
TWINS HOW THEY'RE SEPARATE FROM
OTHER TYPES OF DIGITAL TWINS
MORE IN KEEPING WITH THE
INDUSTRIAL PARADIGM AN WHAT IS
NEEDED TO GET TO THAT PARTICULAR
POINT.
WE ALSO RECOGNIZE THAT THE RANGE
OF METHODS AND EXPERTISE
REQUIRED TO DEVELOP MSM, MDT
WOULD CROSS MULTIPLE EXPERTISE
AND MULTIPLE DISCIPLINES AND
THAT DOING SUCH A PROJECT WOULD
REQUIRE A LARGE CONSORTIA
APPROACH.
ALSO KEEPING WITH THE IDEA OF
THE TWIN AS A TWIN OF AN ENTIRE
PERSON, IF WE WANT TO STUDY
INDIVIDUAL DISEASES, WE NEED TO
AT LEAST PLACE THOSE DISEASES
WITHIN THE CONTEXT OF THE ENTIRE
PERSON EVEN IF YOU DON'T HAVE
THE SAME GRANULARITY OF
REPRESENTATION THAT ALLOWS US
BOTH TO FOCUS MODELLING ON AREAS
OF INTEREST BUT ALSO PROVIDE AN
OPPORTUNITY FOR INTERFACING WITH
OVER THE SKIN ENDEAVORS SUCH AS
THE ENVIRONMENTAL AND SOCIAL
DETERMINATES OF HEALTH.
IT ALSO BECAME CLEAR THAT AT OUR
CURRENT LEVEL OF DEVELOPMENT,
MDTs WOULD REQUIRE SOME SORT OF
FORMALIZED DESCRIPTION OF THEIR
FIT FOR PURPOSE JUST FAKES FOR
WHAT DATA YOU'LL USE AND
SOMETHING TO A VARIANT OF THE 10
CREDIBLE RULES IS SOMETHING
WE'LL POTENTIALLY WORK ON AND AN
INTERMEDIATE POINT TO
DEMONSTRATE WHETHER THEY CAN
AUGMENT THE PERFORMANCE OF A.I.
AND M.L. ALGORITHMS AND OTHER
MATURE A.I. APPLICATIONS AND I
THINK IS AN OPPORTUNITY TO
PROVIDE SOME TRUSTWORTHINESS IN
THE UNDERLYING MODELS IF THEY'RE
SUCCESSFUL IN INCREASING THE
GENERALIZABILITY AND ADDRESS THE
INEQUITIES IN DATA THAT MAY BE
PRESENT FOR OTHER M.L./A.I.
APPLICATIONS.
THAT'S IT.
>> THANKS, GARY.
LIZ, ANYTHING TO ADD?
>> I THINK AS ALWAYS HAPPENS IN
THESE SESSIONS PEOPLE MENTION
THE FUNDING THING, WHICH WE
CAN'T DEAL WITH IN THE BREAKOUTS
BUT I THINK IT WAS GOOD WE HAD A
LOT OF DIVERSITY OF DIFFERENT
IMAG STAFF IN THERE SO WE
DEFINITELY UNDERSTAND THE
COMPLEXITY OF THESE KINDS OF
DIGITAL TWIN APPLICATIONS.
SO IF EVERYONE WANTS TO HEAR THE
FUNDING MECHANISMS JUST KNOW
WE'RE LISTENING IN THE
BREAKOUTS.
THAT'S ALL WE CAN REALLY ADD TO
THAT DISCUSSION.
>> OKAY.
THANKS, GARY, THANKS, LIZ.
ANY COMMENTS OR QUESTIONS FROM
ANYONE ABOUT WHAT GARY AND LIZ
JUST MENTIONED?
OKAY.
DON'T SEE ANY COMMENTS OR
QUESTIONS.
OKAY, MOVING RIGHT ALONG TO
BREAKOUT SESSION 2, NEW
MECHANISTIC AND M.L. METHODS AND
SEE IF I CAN FIND THE ACTUAL --
SUMMARY BREAKOUT SESSION 2.
>> I'M GEORGE KARNIADAKIS.
WE HAD THE LIVELY DISCUSSION.
I DIDN'T EXPECT IT ACTUALLY BUT
LOTS OF PEOPLE WITH DIFFERENT
OPINIONS WHICH TURNED OUT TO BE
REALLY GOOD.
SO WHAT WE'VE DONE HERE, WELL, I
HAVE DIVIDED THE DISCUSSION TO
TWO DIFFERENT TOPICS.
THE FIRST ONE IS EXPLAINABLE
A.I.
AND IT WAS ALSO A POINT OF
AGREEMENT BECAUSE IT'S ALL CLEAR
WHAT THE EXPLAINING OF A.I. IS
IN THIS COMMUNITY.
IT'S EVEN DIFFICULT TO DEFINE
A.I. IN THE PURE SCIENCE
COMMUNITY BUT AT THE END I THINK
WE REACHED SOME SORT OF
CONSENSUS WE THE BIO MECHANISTIC
MODELS BUT WE NEED CORRELATIONS
AND NEED CAUSALITY.
THE FIRST BULLET TALKS ABOUT
CAUSALALITY AND INFERENCE AND
MECHANISTIC MODELS CAN LEAD TO
EXPLAINABLE A.I. FOR DIFFERENT
APPLICATIONS.
OUR CAUSALITY IS A HOT TOPIC IN
COMPUTER SCIENCE AND THAT IS
IMPLEMENTED IN REAL LIFE USINGC
LIFE USING SO THIS CAUSALITY A
HOT TOPIC THAT COULD BE LEVERAGE
S AND CAUSALITY CAUSALITY
DIFFERENT THAN CORRELATION.
THERE WAS DISCUSSION IN DON'T
STICK TO THE TERM NIFTIC WAY OF
MODELLING AND WE KNOW
PROBABILISTIC MODELLING LAWS YOU
TO LOOK AT OTHER STATES THAT ARE
CLOSE TO THE STATE YOU'RE
CONSIDERING.
FOR PROBABILISTIC CONDITIONS AND
LOOK AT INPUTS AND OUTPUTS.
THERE'S ALWAYS THE QUESTION OF
EXTRAPOLATION.
YOU DEAL WITH NEURAL NETWORKS
AND MACHINE LEARNING AND DOING
WELL INSIDE THE DISTRIBUTION BUT
OUTSIDE THE DISTRIBUTION WOULD
REQUIRE MORE DATA KNOWLEDGE AND
PHYSICS.
TO THAT EFFECT PROCESSES COULD
BE INFORMED FROM HISTORICAL DATA
AND OTHER SIMILAR CASES BUT MORE
INFORMATIVE PRIORS LEADING TO
MORE ACCURATE RESULTS.
BRINGING THE PHYSICS INTO
MACHINE LEARNING USING FOR
EXAMPLE PHYSICS AND FORMULA
NETWORKS OR OTHER PROCESSES.
IT'S VERY IMPORTANT BECAUSE WHEN
YOU HAVE ABRUPT CHANGES IN THE
PHYSICS AND BY -- BIFURCATIONS
CAUSALITY DIFFERENT FOR
INTERPRETING INSIDE THE
DISTRIBUTION AND THE CATEGORY
THIS CAUSALITY NOT IN
CHRONOLOGICAL ORDER BUT I LUMPED
THEM INTO THE X A.I. CAN WE
INTEGRATE MECHANISTIC MODELS.
IT SEEMS THEY'RE SEPARATE OR
WORK IN PARALLEL BUT INTEGRATION
WOULD BRING HUGE BENEFITS.
HOW TO DO THAT CAUSALITY NOT
EXACTLY CLEAR AND THAT WOULD BE
PROBABLY A RESEARCH TOPIC NIH
COULD LOOK INTO.
THIS MORNING -- THE NEXT ONE
CAUSALITY IMPERFECT DATA AND WE
START THE DISCUSSION THIS
MORNING WE TALKED ABOUT
IMPERFECT DATA.
I TALKED ABOUT DATA IMBALANCE.
THE DATA CAUSALITY NEVER
PERFECT.
SO IN FACT FOR THE SAME
EXPERIMENT, DIFFERENT LIVES HAVE
DIFFERENT RESULTS.
WE KNOW THAT'S NOT A NEW THING
BUT NOW BECAUSE IT'S TIMELY TO
SET THE STANDARDS AND REPORT
CONDITIONS AND TRANSPARENCY AND
COMPLETE REPORTING.
THAT'S ONE WAY TO START ON THIS.
THERE WAS A DISCUSSION ON
STANDARDIZING PROTOCOLS AND DATA
AND NORMALIZING FROM DIFFERENT
SOURCES BECAUSE WE'LL ALWAYS
HAVE DIFFERENT MODALITIES AND
DIFFERENT RESOLUTIONS FROM
DIFFERENT SOURCES AND DIFFERENT
INVESTIGATORS AND DIFFERENT
PRACTICES.
AS YOU KNOW EVERYBODY HAS A LOG
BOOK AND HAVE DIFFERENT
PRACTICES IN EVERY LAB AND I
KEEP THE LOG BOOK SAFE.
BUT HOW DO YOU FUSE ALL THE DATA
IF YOU WERE TO TRAIN YOUR
NETWORKS?
YOU HAVE TO BE VERY CAREFUL WITH
THAT.
MORE BROADLY, THAT WAS A
QUESTION THAT WAS OPPOSED NOT IN
THE ORIGINAL BULLETS OF
QUESTIONS BUT HOW THE TRAINING,
THE MULTIMODAL TRAINING COULD
CREATE BIAS DUE TO FACTORS AND
IN A POOR AREA COULD BE
DIFFERENT THAN IMAGES YOU
ACQUIRE IN A RICHER AREA, LET'S
SAY IN DEMOGRAPHICS AND WE HEARD
EARLIER EXCELLENT TALKS ABOUT
THE TOPIC ABOUT RED LINING AND
THIS COULD CREATE GAPS IN
METADATA.
THIS ITSELF PRESENTS AN
OPPORTUNITY FOR CREATIVE
MATHEMATICS FOR EXAMPLE FROM AIR
FORCE AND SUGGESTED WE CAN LOOK
AT METADATA AND CATEGORY COULD
BE USED BUT OTHER METHODS
CAUSALITY SOMETHING I DON'T
THINK PEOPLE HAVE DONE BEFORE
AND THERE WAS DESIGNING IN DARPA
AND METADATA COULD BE A GREAT
NEW DIRECTION AND FUNDING
MECHANISM COULD BE INITIATED AND
I KNOW THE PROGRAM MANAGER FROM
NSF WAS ALSO INTERESTED IN
CARRYING OUT MATHEMATICAL TOPICS
THAT COULD BE FUNDED FROM NSF.
I THINK BOTH THE TOPICS AND GAPS
IN METADATA AND PROBABILISTIC
THINKING COULD BE A DISCUSSION
AND THERE WAS TOPIC OF
DEVELOPING THE MODEL IN THE LAB
AND HOW DO YOU GUARANTEE IT WILL
BE USEFUL FOR ANOTHER LAB.
IF THERE'S UNCERTAINTY
ASSOCIATED WITH THE NEURAL
NETWORKS AND EMPIRICAL
OPTIMIZATION AND THE BIAS OF THE
DATA IN THE PARTICULAR LAB THAT
DEVELOPED THE NEURAL NETWORK
MODEL.
THERE ARE TECHNIQUES WITH
LEARNING AND SIMILAR MODELS AND
DOMAIN ADAPTATION THAT ARE
STANDARD METHODS THAT ARE USED
IN COMPUTER SCIENCE AND SO ON.
THEY COULD ALSO BE USED HERE
TOWARDS A UNIVERSALITY OF MODELS
THAT APPLY ACROSS DIFFERENT
LABORATORIES.
THERE WAS SOME OTHER DISCUSSION
WHERE WE CAPTURE EVERYTHING BUT
WE WERE IN THE MECHANISTIC MODEL
SESSION SO SOMEONE POINTED OUT
RIGHT FLY SO THAT DATA COULD BE
GENERATED ALSO USING ACCURATE
DATA MECHANISTIC MODELS OFFLINE
AND THEN THOSE SYNTHETIC DATA
COULD BE USED FOR TRAINING
NEURAL NETWORKS AND THEN
INFERENCE USING THESE NETWORKS
COULD BE EXTREMELY FAST AND
THINK OF THE MODELS AS
SURROGATES OR IN QUANTIFICATION
WHERE YOU NEED TO RUN MULTIPLE
SIMULATIONS.
THESE WERE SOME OF THE TOPICS.
I MAY HAVE MISSED A FEW BUT AT
THE END I THINK WE HAD
MEANINGFUL DISCUSSIONS AND
DOESN'T WANT TO QUIT FOR THE
BREAK SO THAT WAS A GOOD SIGN.
>> SOUNDS GREAT.
THAT'S ALWAYS A GOOD TIME IF YOU
HAVE TOO LITTLE TIME TO DISCUSS
TOO LITTLE THINGS.
ANY QUESTIONS, COMMENTS,
SUGGESTIONS?
>> THERE ARE MANY TOPICS WE
DISCUSSED AND ONE CAUGHT ME BY
SURPRISE AND FRED SAID SOME OF
THE MLs WE TALKED ABOUT LIKE IN
THIS EXPERIENCE MAY BE NEED TO
BE TRAINED OR USED IN SITUATIONS
AND WE DON'T HAVE THE COMPUTING
POWER.
THIS CAUSALITY SOMETHING THAT
CAUGHT MY ATTENTION BUT THIS MAY
BE SOMETHING YOU MAY WANT TO
THINK ABOUT ALL OF US BECAUSE
WE'RE TALKING ABOUT M.L. MODEL
NEEDS COMPUTING POWER BUT THE
ENVIRONMENT WOULD NEED TO APPLY
THEM DOESN'T HAVE COMPUTING
POWER.
IT'S A POINT THAT SEEMED
IMPORTANT TO ME.
>> JACOB WAS RIGHT WE DISCUSSED
HOW MUCH COMPUTING CAUSALITY --
THE COMPUTING WAS NEEDED.
THERE'S A MEMORY FOOTPRINT.
>> ANY OTHER QUESTIONS,
COMMENTS?
GEORGE.
SO I AM THE REPORT OUT PERSON
FOR BREAKOUT NUMBER 3 WHICH IS
SOCIAL BEHAVIORAL AND SOCIAL
DETERMINATES OF HEALTH AND
PROBABILISTIC AND MECHANISTIC
MODELLING AND YOU CAN ADDRESS
BEHAVIORAL ISSUES IN SOCIAL
DETERMINATES OF HEALTH.
IT WAS AGREED THERE ARE OTHER
EFFORTS OUT MANY YEARS.
AND CONNECT UP WITH THE EFFORTS
RATHER THAN REINVENT THE WHEEL.
YOU HEARD FROM THE SESSION
EARLIER TODAY ABOUT COMPASS AND
SOME OTHER INITIATIVES EFFORTS
OUT THERE SO PART OF THE
CONVERSATION WAS PEOPLE
MENTIONING SOME OF THESE OTHER
EFFORTS OR OTHER GROUPS,
INITIATIVES THAT WILL BE
IMPORTANT TO CONNECT TO.
AND CONNECT TO FOR A VARIETY OF
REASONS.
ONE IS TO UNDERSTAND WHAT'S BEEN
DONE WITH MULTISCALE MODELING
AND WHAT'S THE SCALE OF
MULTISCALE MODELING AND MAKING
SURE DIFFERENT GROUPS AND
INITIATIVES UNDERSTAND THE
POTENTIAL OF MULTISCALE MODELING
AND ON THE FLIP SIDE CONNECTING
MULTISCALE MODELING WITH THE
ACTUAL QUESTIONS, WITH THE
ACTUAL COMMUNITIES AND PEOPLE ON
THE GROUND WHO UNDERSTAND WHAT
THE REAL ISSUES ARE SO WE'RE NOT
MULTISCALE MODELERS AREN'T
DEVELOPING IN PURE ABSTRACT
SPACE.
A BIG PART WAS DRAWING THE
CONNECTIONS.
ALSO HAVING MULTISCALE MODELING
DOING OTHER THINGS SUCH AS SHAPE
WHAT DATA NEEDS TO BE COLLECTED
AND WHAT SUB GROUPS COULD BE
CONNECTED SO TO THAT END WE CAME
UP WITH SEVERAL CONCRETE STEPS.
SO ONE WAS ACTUALLY PILE A LIST
OF AND I WOULDN'T SAY IMAG
INITIATIVES AND ACROSS THE
COUNTRY AND MAYBE GLOBALLY
WORKING ON EQUITY ISSUES AND
SOCIAL DETERMINATES ISSUES AND
THIS COULD BE A GLOSSARY OR LIST
THAT CAN HELP IDENTIFY WHICH
TYPES OF INITIATIVES THAT OUR
CONSORTIUM CAN CONNECT WITH AND
CONNECT WITH MEANING ATTEND OR
BE INVOLVED IN SOME OF THEIR
FUTURE MEETINGS OR FUTURE
WORKSHOPS OR SOME OF THEIR
FUTURE INITIATIVES.
ONE THING WE'D LIKE TO DO IS SET
UP A SYSTEM WHERE EVERYONE, IF
YOU CAN THINK OF AN INITIATIVE
THAT IS RELEVANT, JUST THROW IT
OUT THERE, ADD IT TO THIS LIST
AND WE CAN COMPILE A REALLY LONG
LIST AND ONCE WE HAVE THAT LIST
WE CAN DECIDE HOW WE MIGHT WANT
TO ENGAGE WITH THESE DIFFERENT
TYPES OF GROUPS.
NUMBER TWO IS I'D ANYTHING AND
CLARIFYING GOOD USE CASES THAT
DEMONSTRATE IMPACT OF MULTISCALE
MODELING.
WE SHOULD REMEMBER THERE'S
EXAMPLES OF MULTISCALE MODELING
OUT THERE THAT HAVE HAD A LOT OF
IMPACT WHEN IT COMES TO POLICY
AND CHANGING BEHAVIOR AND THINGS
LIKE THAT.
ONE OF THE FIRST THINGS WE
THOUGHT WAS TO MAKE A CALL AND
SAY IF YOU HAVE IDEAS OF WORK
YOU'VE DONE YOURSELF OR WORK YOU
ARE AWARE OF, SEND THAT IN AND
WE CAN COMPILE A LONG LIST OF
THIS.
THIS LIST CAN SERVE SEVERAL
PURPOSES.
ONE IS IF WE WANT TO GIVE
EXAMPLES TO DIFFERENT IMAG
INITIATIVES AND COMMUNITY GROUPS
OF HOW MULTISCALE MODELING CAN
BE USED.
THESE ARE CONCRETE EXAMPLES OUT
THERE THAT ARE EXPLAINING
SOMETHING IN ABSTRACT, WE CAN DO
X, Y AND Z AND HERE'S THE
PUBLICATION OR AN EXAMPLE OF
SOMETHING THAT WORKED VERY WELL.
AND NUMBER TWO, THAT CAN ALSO
IDENTIFY THE GAPS.
SO WE TALKED ABOUT EXISTING USE
CASES AND POTENTIAL FUTURE TEST
CASES.
SO THERE MAY BE PARTICULAR AREAS
THAT ARE MORE WELL SUBSCRIBED
WHEN IT COMES TO MULTISCALE
MODELING AND MORE AREAS THAT ARE
DEFICIENT.
IF WE HAVE THE LIST OF USE CASES
WE CAN ALSO IDENTIFY FUTURE TEST
CASES AND WE'VE LISTED HERE
EXAMPLES OF DIFFERENT AREAS THAT
PEOPLE THINK THAT NEED TO BE
ADDRESSED, DIFFERENT CANCER
AREAS, MATERNAL HEALTH, SHOWCASE
MSM APPLICATIONS TO SEX
DIFFERENCES, SOURCE OPTIONS FROM
THE COMMUNITY.
AGAIN WE MENTION THE LIBRARY OF
POTENTIAL USE CASES.
WE TALKED ABOUT POTENTIALLY
TURNING THIS INTO A COMMENTARY
SHOWING HOW MULTISCALE MODELING
CAN BE USED TO ADDRESS SOCIAL
DETERMINATES AND BEHAVIORAL
ISSUES.
SO THAT'S ANOTHER CONCRETE NEXT
STEP THAT WE'D LIKE TO PURSUE.
THE THIRD CONCRETE NEXT STEP IS
TO INTEGRATE EQUITY INTO MANY OR
MOST OF OUR EXISTING MODEL
CREDIBILITY 10 SIMPLE RULES AND
OTHER TYPES OF INITIATIVES.
IT FIRST CAME OUT LIKE WE SHOULD
MAYBE ADD A CREDIBILITY CRITERIA
AT THE END THAT ADDRESSES
EQUITY, DIVERSITY INCLUSION.
BUT THEN IT CAME OUT LATER
SAYING SHOULD THIS BE A SEPARATE
ITEM OR SHOULD THIS BE
INTEGRATED INTO ALL OF OUR MODEL
CREDIBILITY POINTS?
WE FELT IT'S ACTUALLY BETTER THE
LATTER IS BETTER BECAUSE THIS IS
INHERENT IF YOU ARE ACTUALLY
GOING TO BE CREDIBLY MODEL
SOMETHING THEN YOU HAVE TO TAKE
INTO ACCOUNT ALL THE DIFFERENT
FORCES OR TAKE INTO ACCOUNT YOU
MAY HAVE HETEROGENEOUS AFFECT ON
DIFFERENT PEOPLE.
WE THOUGHT IT WOULD BE BETTER TO
INTEGRATE EQUITY INTO THESE
THINGS AND NOT JUST THE 10
SIMPLE RULES BUT EVERYTHING WE
DO GOING FORWARD.
ONE OF THE DANGERS IS THAT
SOCIAL DETERMINATES, EQUITY,
DIVERSITY, INCLUSION CAN BE
VIEWED AS A QUOTE, UNQUOTE,
CHECK MARK OR ADDITIONAL THING
TO DO WHEN IT'S ACTUALLY
INTEGRAL TO THE SCIENCE.
THAT WAS A THIRD DISCUSSION.
THE FOURTH POINT IS A DUPLICATE
OF THE SECOND POINT WE'D LIKE TO
PROCEED WITH A COMMENTARY
ADDRESSING HOW MULTISCALE
MODELING CAN ADDRESS THESE
DIFFERENT SOCIAL DETERMINATES
AND SOCIAL ISSUES.
SO THAT'S WHAT OUR BREAKOUT
THREE SESSION CAME UP IN WITH.
JULIA, I WANTED TO GIVE YOU AN
OPPORTUNITY TO ADD ANYTHING TO
THAT.
>> THANKS, BRUCE.
GREAT SUMMARY.
THE ONLY THINGS I WANTED TO ADD
IS THAT I SAW WE WERE TALKING
ABOUT WHAT IT MEANS TO BUILD A
MULTISCALE MODEL AND I HEAR
ABOUT BUILDING CITIES AND WHAT'S
A BETTER WAY TO INTEGRATE AND
EXPLORE THE CROSS TOPICS AND
SAME EXPLAINABILITY AND THE
SOCIAL DETERMINATES OF HEALTH.
I THINK THE POINT OF IDENTIFYING
BIOLOGICAL MODELS THAT CAN BE
USED IN THE TOPICS, THEY NEED TO
AND THERE'S A MANDATE COMING IN
2024 AND THERE'S A COUPLE
EXAMPLES ON THE SCREEN.
YOU DON'T NEED TO GENERATE THE
DATA FROM THE GROUND LEVEL.
ONE OF THE LAST THINGS I THINK
WERE MENTIONED IN THE SESSION
WAS THE TRAINING ENGAGEMENT.
I DON'T KNOW IF YOU MENTIONED
THEM, I MAY HAVE MISSED.
AND RESPECT TO TRAINING THE
QUESTION WAS ASKED WHETHER THERE
IS THE ABILITY TO CROSS
POLLINATE AND YOU CAN INCREASE
MORE GROUPS OF TRAINEES AND WITH
ENGAGEMENT OF COMMUNITY I THINK
YOU MENTIONED THAT I THINK IN
DEVICE DEVELOPMENT TO WHERE I
LIVE IT'S NOT RESEARCH NOTHING
ABOUT US WITHOUT US AND IN MY
INSTITUTE WE HAVE SEVERAL
ENGAGEMENT CENTER AND SOMETHING
NIH IS DOING AND CAN ALSO BUILD.
THAT'S ALL.
THANK YOU.
>> THANKS, JULIA.
ANY QUESTIONS, COMMENTS,
SUGGESTIONS FROM EVERYONE ELSE?
>> ORLANDO LOPEZ FROM NHCR.
THERE'S EMERGING FRAMEWORK AND
ACTIVITIES AROUND ENGAGEMENTING
COMMUNITIES TO CAPTURE DATA LIKE
REAL WORLD DATA, REAL WORLD
EVIDENCE, LIKE VIRTUAL CLINICAL
TRIALS AND THROUGH WEARABLES AND
DIFFERENT TECHNOLOGIES.
WOULD IT BE TIMELY TO THINK
ABOUT HOW WE CAN LEVERAGE THOSE
OPPORTUNITIES AND THAT EMERGING
STREAM OF DATA LIKE BRING YOUR
OWN DATA, BRING YOUR OWN DEVICE
TYPE OF SET UP AND TO BE TO
REALLY TAKE ADVANTAGE OF THE
EMERGING CAPABILITIES ON
GENERATING DATA AND POSSIBLY
REAL TIME OR SEMI PSEUDO REAL
TIME COMPUTING POWER.
THANK YOU.
>> YEAH, THAT'S AN EXCELLENT
SUGGESTION AND ONE OF THOSE
THINGS WE WANT TO ENCOURAGE WHEN
WE DO SEND OUT MESSAGES ASKING
THROW OUT ANY INITIATIVE US FEEL
WOULD BE RELEVANT, JUST ADD THAT
TO THE LIST.
WE FEEL THIS WOULD BE HELPFUL
FOR THE WHOLE COMMUNITY TO HAVE
THIS GLOSSARY OR INDEX OF
DIFFERENT POSSIBILITIES AND
AFTER THAT THINK OF HOW TO
ENGAGE.
ONE OF OUR GOALS AS A BREAKOUT
SESSION WAS TO ESTABLISH THINGS
THAT ARE LOW -HANGING FRUIT THAT
ARE REACHABLE WE KNOW FOR SURE
COME NEXT YEAR WE CAN SAY WE
HAVE DONE THIS AND FEEL IT WOULD
BE BENEFICIAL TO THE CONSORTIUM
AND ALSO INDIVIDUALLY BECAUSE
THEN YOU'LL BE ABLE TO SAY, OH,
THIS INITIATIVE IS DOING
COMMUNITY ENGAGEMENT.
THIS INITIATIVE IS DOING SUCH
AND SUCH AND SO WE FEEL IT WILL
BE BENEFICIAL TO HAVE INDIVIDUAL
INVESTIGATORS AS WELL.
ANY OTHER QUESTIONS OR
SUGGESTIONS?
OKAY.
WITH THAT THAT WAS BREAKOUT
SESSION 3.
LET'S MOVE TO BREAKOUT SESSION
4.
>> GOOD AFTERNOON.
I'M SUR SUVRANU DE AND WE TALKED
LESS ABOUT QUANTUM SENSING BUT
ALL ABOUT THE EXCITING FIELD OF
QUANTUM TECHNOLOGIES.
THE INTERESTING THING ABOUT THE
FIELD IS THE PHYSICS OF THIS IS
KNOWN FOR MANY YEARS.
IT'S NOT THE PHYSICS THAT'S THE
QUESTION BUT WHETHER WE CAN
DEVELOP DEVICES TO DELIVER
COMPUTING AT SCALE OR DEVELOP
DEVICES THAT SENSE WHAT WE WANT
TO SENSE WITH THE KIND OF
RESOLUTION WE WANT.
ESSENTIALLY COMING TO THE POINT
IS IT REALLY A GPT, A GENERAL
PURPOSE TECHNOLOGY TAKING OFF.
THINK OF WHEN EDISON AND THE
OTHERS WERE TRYING TO EXPERIMENT
WITH TECHNOLOGY TO DETERMINE IF
LIGHT BULBS WOULD WORK.
WE'RE AT THAT STAGE IN THE
DEVELOPMENT OF TECHNOLOGY.
IF YOU'RE ONE OF THE NAYSAYERS
THINKING THE LIGHT FOR FIVE
MINUTES SO WE'RE NOT GOING TO
HAVE A LIGHT BULB EVER YOU'LL BE
LEFT IN THE DARK LITERALLY.
SO THIS IS WHERE WE ARE.
THIS IS THE DILEMMA OF BEING IN
THE FIELD YOU DON'T HAVE -- NO
QUANTUM FIX.
GOING BACK TO MY POINT.
BASICALLY THIS TECHNOLOGY ARE
EVOLVING AND WE'RE JUST
FOLLOWING.
WE'RE GOING WITH THE TECHNOLOGY
DEVELOPMENT.
THIS IS VERY DIFFERENT FROM THE
OTHER SESSIONS YOU HEARD WHERE
WE HAVE THE COMPUTING
CAPACITIES, IT'S JUST THE
ALGORITHMS AND THE THINGS
RELATED TO DATA SO ON, SO FORTH.
HERE WE DON'T HAVE YET THE
COMPUTATION INFRASTRUCTURE IN
PLACE.
THAT'S ALL THE MORE IMPORTANT
WE'RE FOCUSSED ON WHAT WE HAVE
AND WHAT THE POTENTIALS ARE
KNOWING WE CAN TRUST THE PHYSICS
THAT IS EMBEDDED ALMOST 100
YEARS NOW.
WHAT IS THE TECHNOLOGY RIGHT NOW
WE'RE WORKING ON?
SO THE BASIC TYPES OF QUANTUM
COMPUTERS IN EXISTENCE RIGHT NOW
THAT ARE IN RESEARCH AND PEOPLE
ARE TRYING TO BRING THEM TO
MARKET?
ONE IS QUANTUM ENABLING.
THAT WORKS ON SPECIALIZED
OPTIMIZE AGENCY PROBLEMS KNOWN
AS HAMILTONIAN YOU'RE LOOKING AT
THE MINIMUM OF THIS AND IF YOU
CAN CAST YOUR PROBLEM AND IF
YOU'RE TRYING TO SOLVE A BUNCH
OF EQUATIONS, X EQUALS B YOU CAN
CAST THAT AS A MODIFIED ICING
HAMILTONIAN AND UNLIKE WHAT DOES
ITERATIONS IT EVOLVES THE QUBITS
ALL THE TIME OVER A FINITE TIME.
THIS IS A THEOREM OF QUANTUM
MECHANICS AND GIVES YOU THE
ANSWER IN ONE SHOT.
AGAIN, REMEMBER THIS IS
SPECIALIZED AND WHAT IS IT GOOD
FOR?
FOR EXAMPLE, PROTEIN FORMING
PROBLEMS?
DRUG DESIGN AND MACHINE LEARNING
AT THE HEART OF MACHINE LEARNING
IS AN OPTIMIZATION PROCESS.
ABOUT 5,000 QUBITS ARE AVAILABLE
RIGHT NOW IN THE SYSTEM THAT IS
BEING DEVELOPED.
THE OTHER CLASS ARE GATE-BASED
QUANTUM COMPUTERS.
>> IN YOU HAVE QUBITS THAT GIVE
END QUBITS THAT FORM A QUANTUM
REGISTER AND THEN APPLY
OPERATIONS ON THOSE.
AND IF HAVE THEM TOGETHER IT'S
NOTHING BUT A SEQUENCE OF
OPERATIONS APPLIED TO THE
QUANTUM STATE OF A QUANTUM
REGISTER.
THEN BOTH OF THESE QUANTUM
COMPUTERS ARE VERY DIFFERENT
SUPERCOMPUTERS YOU'RE USED TO.
YOU HAVE A SAMPLE BUT RUN IT ONE
TIME.
YOU HAVE TO BE ABLE TO EXTRACT
STATISTICAL INFORMATION FROM THE
ANSWER YOU'RE GETTING TO RUN IT
MULTIPLE TIME AND OBSERVING THE
RESULTS.
THEY'RE VERY DIFFERENT FROM THE
KINDS OF THINGS WE'RE LOOKING
AT.
SO AT ONE LEVEL OF DETAIL,
PEOPLE ARE TRYING TO COME UP
WITH THE TECHNOLOGY AND THE
HARDWARE THAT RUNS THIS.
BUT WE FROM THE PERSPECTIVE OF
NIH OR THE ONES THAT ARE WORKING
IN DOMAINS CARE ABOUT USING THE
TECHNOLOGIES TO SOLVE A PROBLEM.
SO ESSENTIALLY WE HAVE TO HAVE A
LANGUAGE THAT IS AGNOSTIC TO THE
HARDWARE.
AND THANKS TO ALL THE COMPANIES
LIKE GOOGLE, MICROSOFT AND
AMAZON, THEY'RE ALL COMING
TOGETHER, CREATING CLOUD-BASED
PLATFORMS TO GIVE YOU THAT
LANGUAGE, IBM, FOR EXAMPLE, GIVE
YOU THE LANGUAGE YOU CAN USE TO
PROGRAM THE COMPUTERS WITHOUT
ACTUALLY GOING TO THE QUANTUM
MECHANICS OR THE SPECIFIC
HARDWARE TECHNOLOGIES BEING
DEVELOPED TO DO THAT.
SO THE HARDWARE IS EVOLVING IN
STEPS.
RIGHT NOW THE LARGEST QUANTUM
COMPUTER HAS 433 PHYSICAL
QUBITS.
REMEMBER, ABOUT 100 PHYSICAL
QUBITS ARE REQUIRED FOR ERROR
CORRECTION TO GIVE YOU ONE
LOGICAL QUBIT.
THAT'S A LARGE QUBIT YOU HAVE
AFTER A CORRECTION.
AND THAT'S THE IBM OFFSPRING.
AND THEN THE NEXT STAGE IS GOING
TO HAVE 1,000 QUBITS AND THEN
THE 2,000 QUBITS AND SO ON WITH
THE AIM OF HAVING 100 LOGICAL
QUBITS BY 2030.
WE'LL BE EXPOSED TO
EXPONENTIEXPONEN
EXPONENTIALLY BETTER HARDWARE IN
THE YEARS TO COME AND THE PLAN
INCLUDES EVOLVING TECHNOLOGY AND
WE CAN'T WRITE THE PROPOSAL TO
RUN MASSIVE SIMULATIONS.
THIS IS DIFFERENT FROM A.I. AND
DIGITAL TWINS AND SO ON.
WE HAVE TO MAKE SURE THE FIRST
ITEM IS BRING THE COMMUNITY
TOGETHER THERE'S NO DOUBT THIS
TECHNOLOGY WILL BE ONLINE.
THERE'S NO DOUBT WE NEED PEOPLE
TRAINED IN THIS.
THERE'S NO DOUBT WE NEED THE
ACADEMIC BUILT AROUND IT.
WHEN A.I. CAME INTO EXISTENCE WE
KNEW ABOUT NEURO MORPHIC AND
ACADEMICS WERE SCRAMBLING TO
HIRE PEOPLE BECAUSE THEY WERE
SNAPPED LIKE CRAZY AND WHAT DO
WE DO TO DELIVER THE COMMUNITY
AROUND QUANTUM COMPUTING.
THANKS TO IMAG WE HAVE A
COMMUNITY AND WE NEED TO BRING
QUANTUM COMPUTING AND QUANTUM
SENSING AS A SEPARATE GROUP
WITHIN MSM.
DELIVERED ABOUT THE MISSION OF
WHERE WE WANT TO BE AND OUR
GOALS OVER HOW WE WANT TO REACH
THE GOALS.
OBJECTIVES.
WE ALSO HAVE TO MAKE A CLEAR
DISTINCTION BETWEEN QUANTUM
COMPUTING AND QUANTUM SENSING.
THOSE ARE EXTREMELY IMPORTANT
THINGS.
THERE'S POTENTIAL OVERLAP BUT
DIFFERENT TECHNOLOGIES.
AND THEY'RE DIFFERENT IN TERMS
OF THE BARRIERS TO ENTRY.
QUANTUM COMPUTING CAN BE
ACCESSED BY PEOPLE TRAINED IN
CLASSICAL COMPUTING.
ON THE OTHER HAND QUANTUM
SENSING IS MORE IN THE REALM OF
PHYSICS.
SOMEBODY WOULD HAVE TO GET TO
THE NITTY-GRITTY OF QUANTUM
MECHANICS AND BE ABLE TO
GENERATE DEVICES THOUGH THEY'RE
ALSO GOING TO BE EXTENSIVELY
USED IN FOR EXAMPLE MEDICAL
IMAGING AND SENSING AND
BIOLOGICAL SENSING.
THE KIND OF RESOLUTION THEY'LL
BRING TO THE FIELDS WILL BE
UNPARALLELED BUT THERE'S TWO
KINDS OF TECHNOLOGIES WE NEED TO
BE CAREFUL NOT TO CONFLATE.
WHAT IS DISCUSSED IS YES,
QUANTUM SENSING WOULD GIVE RISE
TO LOTS OF DATA AND BECAUSE
QUANTUM DATA WOULD BE ABLE TO
DEAL WITH MASSIVE AMOUNT OF DATA
THE TWO OVERLAP.
WE ALSO HAVE TO THINK ABOUT THE
SECURITY OF THE DATA.
DATA SECURITY IS PARAMOUNT.
AS WE KNOW ONE OF THE CURSE OF
QUANTUM COMPUTING IS IT'S GOING
TO BE ABLE TO BREACH RSA.
AND SO WE HAVE TO THINK ABOUT
QUANTUM SECURITY PARTICULARLY
FOR BIOLOGICAL AND BIOMEDICAL
AND BEHAVIORAL DATA.
WHEN WE DISCUSSED INVOLVING THE
PROCESS ACROSS ALL DOMAINS IS
WONDERFUL BECAUSE WE HAVE
COMPUTER SCIENTISTS AND
MATHEMATICIANS AN ENGINEERING
WORK TOGETHER TO SOLVE PROBLEMS
AND THE DEVELOPING A WORKFORCE
IS GOING TO BE CRITICAL FOR ALL
OF US AND THAT IS TO BE
SUPPORTED BY BOTH THE P.I.s THAT
IS US, TALKING TO STUDENTS AND
TALKING ABOUT THE FUNDING
AGENCIES WILLING TO DELIVER THE
WORK AND WORKFORCE DEVELOPMENT.
>> YOU HAVE A MINUTE.
>> SO BASICALLY THE OTHER THING
WE TALKED ABOUT IS BARRIER TO
ENTRY WHICH IS CRITICAL FOR US
TO UNDERSTAND WHAT IS THE
BARRIER TO ENTRY AND THERE ARE
QUITE A FEW.
FOR QUANTUM COMPUTING THE
BARRIER TO ENTRY IS NOT HUGE.
IT'S JUST THAT WE HAVE TO WRITE
ARTICLES AND I'M WORKING ON ONE
OF THOSE ARTICLES TO MAKE SURE
PEOPLE CAN UNDERSTAND HOW THEY
CAN USE LANGUAGES THEY KNOW.
THE OTHER THING I'D LIKE TO
PROPOSE IS WE COME UP WITH A
SPECIAL ISSUE AS WE DID FOR
MULTISCALE MODELING BRINGING
TOGETHER VARIOUS VIEW POINTS OF
RESULTS WE'RE GETTING AND WHAT
ARE THE QUESTIONS IN THE NEXT
FIVE TO 10 YEARS THAT DOES A LOT
OF GOOD THAT BRINGS THE
DIVERSITY OF THE COMMUNITY
TOGETHER.
THIS I THINK IS A SUMMARY OF
TONS OF DISCUSSIONS WE ALSO HAD
AT THE BREAK AND IN THE SESSION.
>> THANK YOU.
LOOKS LIKE YOU GUYS TALKED ABOUT
A LOT OF STUFF.
ANY QUICK COMMENTS?
QUESTIONS?
>> QUICK COMMENT, I WISH I COULD
BE IN THIS MEETING BUT I WAS IN
THE MACHINE LEARNING ONE.
THERE'S AN OVERLAP BETWEEN
MACHINE LEARNING AND QUANTUM
COMPUTING AND WHAT YOU SAID IS
GOING TO HAPPEN IS ALREADY
HAPPENING AND LAST WEEK SOMEONE
PRESENTED THE COMBINATION OF
THOSE TWO.
PEOPLE ARE ALREADY WORKING IN
INDUSTRY AND PROMOTING THIS AND
YOU CAN SIMULATE THINGS ON THE
COMPUTER TODAY.
QUICK COMMENT.
>> THANKS FOR THE COMMENT.
EXCELLENT.
IN THE INTEREST OF TIME LET'S
MOVE ON TO BREAKOUT SESSION 5.
WE HAVE ABOUT FIVE MINUTES TO
WRAP THAT UP.
>> THANK YOU.
OUR SESSION WAS TRANSLATION AND
INCENTIVIZATION AND THE TALKS
PARALLELED THE OTHER BREAKOUT
DISCUSSIONS.
WE DISCUSSED MANY DIFFERENT
APPLICATIONS FOR MEDICAL DEVICES
AND FOR PHARMACOLOGY AND IMAGING
AND WE HAD TOOLS TO TEST BLACK
BOX A.I. DEVICES.
SPECIFICALLY MSM TOOLS ARE
REUSABLE BY OTHER MODELERS AND
CAN GENERATE NEW TOOLS AND WE
GET TO MODEL THE PHYSIOLOGY AT
DIFFERENT SCALES.
MSM TOOLS CAN BE USED BY
DIFFERENT STAKEHOLDERS IN
ACADEMIA AND GOVERNMENT AND
NATIONAL LABS AND MSM TOOLS CAN
BE USED TO GENERATE SYNTHETIC
DATA AS OTHER DISCUSSIONS HAVE
DISCUSSED.
OUR COMMON GOAL IS WE WANT TO
MAKE TOOLS SUSTAINABLE AND LONG
LIVED AND CAN BE USED FROM YEAR
TO YEAR AND CAN BE VALIDATED.
THEY'LL CONTINUE ON AND ON IN
OUR CHANGING WORLD.
ONE NEXT STEP WE THOUGHT WOULD
BE USEFUL IS TO CREATE A
REPOSITORY AT DIFFERENT SCALES
TO INCORPORATE MANY OF THE
TOPICS THAT WERE COVERED IN THE
WORKSHOP AND BREAKOUT SESSIONS
SO THE TOOLS ARE STANDARDIZED,
THE PROCESS WILL FACILITATE THE
FACT THAT WE CAN TRANSLATE THE
TOOLS, WE CAN VALIDATE THEM AND
REUSE THEM.
APART FROM WHAT WOULD HELP US
MAKE TOOLS THAT ARE NOT LANGUAGE
DEPENDENT AND USE THEM ACROSS
PYTHON AND WHATEVER LANGUAGE
TYPE YOU USE TO WRITE AND CAN
INCORPORATE NEW DATA AND
VALIDATION BY A COMMUNITY.
AND THIS WOULD FACILITATE MAKING
TOOLS THAT ARE ADAPTABLE.
THERE WERE A COUPLE CONCLUSIONS.
WE WANT TO HAVE STANDARDS AND
DESIGNS DRIVEN BY THE COMMUNITY.
SO WE WANT TO BRING TOGETHER
DIFFERENT ATTENDEES FROM IMAGO
AND MSM AND HELP US CREATE
SOMETHING THAT CAN BE USED BY
MANY DIFFERENT COMMUNITIES
TOGETHER.
AND FINALLY, IT WOULD BE
IMPORTANT TO SEE THIS PLATFORM
WILL HELP ME UNDERSTAND WHAT I'M
DOING AND WHAT ARE YOU DOING?
WHAT SHOULD I WORK ON NEXT TO
FACILITATE PROGRESS SO WE'RE NOT
ALL WORKING ON THE SAME THING.
>> THAT'S A GREAT SUMMARY.
I WAS TRYING TO THINK ANYTHING
ELSE THAT CAME UP.
MAYBE GO BACK TO THE EQUITY
POINT AND EARLIER THAT WAS ONE
THING WE TALKED ABOUT ALSO IN
CONNECTION WITH MAKING SURE THE
MODELS AND TOOLS ARE LONG LIVED
AND REUSED.
MAKING SURE THAT IT'S POSSIBLE
SAYING IF THEY'RE ORIGINALLY
CREATED WITH THE SET OF DATA
RESTRICTED TO ONE GROUP OF
PEOPLE, IT'S POSSIBLE TO BRING
IN NEW DATA AND POPULATIONS AND
ALL THOSE THINGS.
IT'S VERY MUCH IN THE STRUCTURE.
>> GREAT.
THANK YOU FOR THE SUMMARY.
QUESTIONS, COMMENTS?
>> I HAVE A QUESTION.
SO WHAT WOULD BE THE PLAN FOR
CREATING THIS REPOSITORY GIVEN
THERE ARE THOUSANDS AND MODELS
AND TOOLS AN DATABASES THOUGHT.
HOW WOULD YOU VET AND DECIDE HOW
TO PUT THE WHATEVER STAMP YOU
THINK YOU WANT TO PUT ON?
>> SO THIS IS SOMETHING THAT WE
DISCUSSED.
I THINK IT COULD BE A
POTENTIALLY MODULAR FRAMEWORK.
WE TALKED ABOUT CREDIBILITY AND
LANGUAGES THAT CAN BE USED TO
CULL DIFFERENT TOOLS TOGETHER
INTO A COMMON FORMAT.
THERE ARE CREDIBILITY PRACTICES
THAT WE CAN INCORPORATE AND AS A
COUNT WE CAN COME UP WITH A WAY
TO CREATE ONE STANDARD
REPOSITORY THAT IS MANAGED BUT
THE FEEDBACK ON HOW TO CREATE IT
WOULD COME FROM MEETINGS LIKE
THIS.
>> ONE MORE QUESTION?
>> I THINK THIS IS GREAT AND YOU
PROBABLY DISCUSSED THIS TOO BUT
WANTED TO SEE IF YOU CAN SPEAK
ON WHETHER YOU TALKED ABOUT THE
ROLE OF UNCERTAINTY IN
DEVELOPING THE TRANSLATIONAL
TOOLS TO UNDERSTAND WHAT ARE THE
UNCERTAINTIES IN THE INPUT IN
DATA AND AS WE DEVELOP TOOLS
WHAT'S THE UNCERTAINTY IN OUR
PREDICTIVE CAPABILITIES AND
UNCERTAINTIES IN OUR OUTPUTS?
>> I WILL TRY TO REPEAT THE
QUESTION, I'M NOT SURE I
UNDERSTOOD IT BUT IS THE
QUESTION HOW TO MODEL
UNCERTAINTY?
AND TO WHAT --
>> AND TO WHAT EXTENT YOU NEED
TO ACCOUNT FOR IT WHEN BUILDING
A TRANSLATIONAL TOOLS.
>> WE TALKED ABOUT HOW TO
VALIDATE TOOLS AND MAKE IT CAN
BE CAPABILITY AND FOR OTHERS WE
DO NOT AND GIVE JON WE CAN
RELEASE AND SHARE TOOLS
EVERYBODY CAN USE WE CAN ALSO
SHARE THE VALIDATION PIPELINES
AND SEE HOW THE COMMUNITY HELPS
VALIDATE SOME OF THESE THINGS.
>> GREAT.
GARY, ONE MORE COMMENT.
>> HOW IS THIS DIFFERENT THAN
THE THING DR. SAURO'S DOING AND
DR. HUNTER IS DOING, THE
MULTIPLE MODEL REPOSITORIES.
ALL THESE TYPES OF THINGS.
HOW IS THIS DIFFERENT OR
DIFFERENT FROM THAT?
>> IT IS VERY SIMILAR AND BASED
ON THOSE EFFORTS BUT WHAT WE
NEED IS SOMETHING BIGGER.
WE CANNOT -- WE WANT TO MAKE IT
AT DIFFERENT LEVELS, ORGAN LEVEL
AND BODY LEVEL AND STARTING AT
THE CELLULAR LEVEL START FROM
THE BOTTOM UP TO THE FULL
PICTURE.
>> OKAY.
WE'RE BACK ON SCHEDULE.
SO THE LAST 15 MINUTES, 4:15 TO
4:30 WE'RE SCHEDULED FOR NEXT
STEPS AND WRAP-UP AND THANK YOU
THE SESSION LEADS FOR LEADING
YOUR BREAKOUT SESSIONS.
I WANTED TO INSIGHT BACK UP ALL
THE PLANNING COMMITTEE MEMBERS
AND CO-CHAIRS.
WE'RE WELCOME TO STAY HERE IF
YOU WANT.
>> WE'RE BLIND ED
>> THE LAST SESSION.
THANK YOU ALL FOR STICKING TO
THE END.
THIS IS TO THE MOST EXCITING
SESSION.
WHAT DO WE WANT TO DO NEXT?
SO DID WE EVER GET ANYWHERE WITH
THAT WORD CLOUD, HERBERT?
>> NO.
LAST TIME I LOOKED I HAVE NINE
ENTRIES.
NOT MUCH OF A CLOUD WITH NINE
ENTRIES.
>> MUST HAVE BEEN A WILDFIRE.
>> LET'S LOOK AT IT.
IT WAS INTENTIONAL FOR YOU IT
LOOK AT THE WIKI.
DID YOU WANT TO COMMENT.
THERE'S MORE THAN NINE.
>> YOU'RE RIGHT, ONE, TWO,
THREE, FOUR, FIVE, SIX, SEVEN,
EIGHT -- WE HAVE TEN.
WE HAVE A RANGE OF RESPONSES.
I'M NOT SURE WHAT ELSE TO SAY
ABOUT IT.
>> IS IT REFLECTIVE?
>> IT'S NOTHING ABOUT A.I.
THERE SHOULD BE MORE MACHINE
LEARNING HERE.
I'M JOKING.
>> WHAT ABOUT THE APPLICATIONS.
>> BROAD RANGE.
>> DISEASE MODELLING IS PRETTY
GENERAL.
>> ONE OF THE STRENGTHS OF THIS
COMMUNITY I THINK.
>> AND THE PICTURES?
ALL RIGHT.
OKAY.
WELL, THANK YOU FOR THAT.
AND SO LET'S GO TO THE FINAL
SESSION.
IF YOU ALL CAN SIT AT THE TABLE.
IT WOULD BE GREAT IF WE CAN HASH
OUT THE FINAL THOUGHTS.
AM I SPEAKING IN THE WRONG MIC?
CAN YOU ALL HEAR ME?
SORRY ABOUT THAT.
FOR THOSE ON VIDEOCAST WE WERE
JUST LOOKING AT A COMPILATION OF
FAVORITE METHODS AND
APPLICATIONS AND OUR PAST
PICTURES AND WE'RE THINKING OF
EVERYBODY WHO ORGANIZED THIS
MEETING AND WE ARE NOW AT THE
VERY LAST SESSION WHERE WE'RE
TALKING ABOUT FUTURE DIRECTIONS.
AND SO WHEN I OPENED UP THE
MEETING I ASKED EVERYBODY TO
THINK ABOUT WHEN YOU'RE SITTING
IN THIS MEETING FOR THESE TWO
DAYS, WHAT ARE SOME ACTIONABLE
NEXT STEPS AND WE USED THE FIRST
DAY TO RECAP WHAT WONDERFUL
THINGS IN THE LAST 20 YEARS AND
LESSONED LEARNED AND THINKING
ABOUT THE CURRENT PROJECTS AND
NEW INVESTIGATORS AND EARLY
CAREER INVESTIGATORS THAT WERE
HIGHLIGHTED IN THIS MEETING AND
HOW THEY CAN PREPARE US FOR THE
FUTURE OF THE MULTISCALE
MODELING INITIATIVE.
TODAY WE THOUGHT ABOUT OUR
MISSION STATEMENT AND OUR
BREAKOUTS ALSO CONSIDERED THE
MISSION STATEMENT WITHIN THE
FIVE TOPICS WE JUST TALKED ABOUT
AND MADE SOME ACTIONABLE PLANS
BUT I WOULD LIKE TO SAY NOW WHAT
DO WE WANT TO DO IN TERMS OF ANY
CHANGES WE WANT TO MAKE TO THE
MULTISCALE MODELING CONSORTIUM
IN GENERAL IN OUR ACTIVITIES AND
THEN WHETHER OR NOT OR NOT WE
WANT A MEETING NEXT YEAR.
I'LL STOP HERE AND LET FOLKS
CHIME IN.
THERE ARE SOME POSTS ACTUALLY.
POSTER SESSION NEEDS RENOVATION
TOWARDS INTERACTIVE POSTERS.
ANYTHING ELSE?
GARY.
>> I THINK WE SHOULD HAVE A
MEETING NEXT YEAR AND I THINK IT
WOULD BE VERY NICE IF THE
MEETING WAS STRUCTURED AROUND
THE TOPICS THAT WERE JUST
PRESENTED AT THE BREAKOUT.
SEEMS LIKE THERE'S CLEARLY A LOT
OF DISCUSSION AND DEVELOPMENT
THAT'S RELATED ALONG THOSE TYPES
THEMES AND IT WOULD ALSO GIVE US
AN OPPORTUNITY TO EXPLORE
SYNERGIES ACROSS THOSE
PARTICULAR BREAKOUT TOPICS.
>> OKAY.
ANY VOLUNTEERS TO HELP ORGANIZE
THIS MEETING?
>> NO.
MAYBE.
>> CAN YOU STATE YOUR NAME?
>> JOHN RICE.
>> JOHN DID ATTEMPT DURING THE
PANDEMIC.
I CAN VOUCH FOR THAT.
ALL RIGHT.
ANY OTHER COMMENTS?
I THOUGHT YOU WERE VOLUNTEERING,
HERBERT.
ALL RIGHT.
NEXT TOPIC.
>> I ENCOURAGE PEOPLE TO
CONSIDER CO-CHAIRING THE
MEETING.
ALL JOKING ASIDE IT'S WAS GREAT
WORKING WITH THE WHOLE
ORGANIZING COMMITTEE AND IT'S A
GREAT OPPORTUNITY TO MEET
DIFFERENT PEOPLE, LEARN
DIFFERENT THINGS AND MEET
DIFFERENT SECTORS OF THE IMAG
CONSORTIUM YOU MAY NOT BE AWARE
OF.
I WANT TO ENCOURAGE EVERYONE TO
DO THIS.
IT'S MY SECOND TIME AROUND
CO-CHAIRING THE MEETING.
IF YOU DO IT ONCE YOU'RE
INTERESTED A SECOND TIME.
>> THIS IS BRUCE'S SECOND TIME
FOR SURE.
>> ONE THING I COULD ADD FOR THE
FUTURE.
MANY TRAINEES WE DON'T HAVE
ANYTHING FOR TRAINEES, Ph.D.
STUDENTS.
IT WOULD BE NICE IF WE HAD SOME
SPECIAL TIME FOR THEM BECAUSE
THEY'RE OUR FUTURE ALONG WITH
THE POSTDOCS AS WELL.
AND I KNOW THERE'S A COUPLE
TRAINEES HERE THIS WEEK.
>> WHAT ABOUT DIVERSITY IN OUR
AUDIENCE?
>> I WAS GOING TO ADD UNDER
REPRESENTS GROUPS IS SOMETHING
FOR THAT AS WELL ALONG WITH WHAT
HERBERT SAID.
>> ARE YOU TALKING ABOUT
INVITING TO THE CONSORTIUM IN
GENERAL OR TO THE MEETING?
>> I'VE ALSO RUN INTO A LOT OF
PEOPLE WHO ARE IN FACT AT
VARIOUS TRAINING LEVELS AND
FRUSTRATED BY THE FACT THAT THEY
HAVE TO FOCUS ON ONE SPECIFIC
AREA.
WHEN I TELL THEM ABOUT
MULTISCALE MODELING THEY GET
EXTREMELY INTRIGUED.
I THINK THERE'S A HUGE UNPACKED
POPULATION OUT THERE OF PEOPLE
WHO WOULD INHERENTLY LIKE TO BE
MULTISCALE MODELERS BUT THE
TRAINING SYSTEM, THE EDUCATION
SYSTEM DOES NOT ENCOURAGE THAT.
SO WE MIGHT WANT TO THINK ABOUT
HOW TO ENGAGE THOSE INDIVIDUALS
BECAUSE CERTAINLY WE HAVE PEOPLE
ALREADY IN LABS OF
SELF-IDENTIFIED MULTISCALE
MODELERS BUT WE'RE LIMITING
OURSELVES I THINK.
>> YOU'RE SAYING THE NATURE OF
MULTISCALE MODELING IS SO
FOCUSSED IT'S NARROW.
>> OPPOSITE.
PEOPLE ARE FRUSTRATED BY THE
FACT THEY FEEL THEY HAVE TO
FOCUS ON ONE SPECIFIC AREA AP
WOULD RATHER CROSS SCALES BUT
THEY'RE NOT AWARE OF THIS
CONSORTIUM.
THEY'RE NOT AWARE OF MULTISCALE
MODELING.
I THINK IT'S A GREAT WAY FOR US
TO GROW OUR CONSORTIUM.
SO THE QUESTION IS HOW DO YOU
REACH OUT TO THOSE FOLKS WHO
DON'T ALREADY IDENTIFY AS
MULTISCALE MODELERS.
THERE'S PEOPLE WHO CROSS
SCIENCES ARE MULTISCALE
MODELERS.
THEY JUST DON'T CALL THEMSELVES
THAT.
IT'S QUITE MAGICAL WHEN YOU TELL
THEM, YOU'RE A MULTISCALE
MODELER AND THEY THINK I JUST
FOUND AN IDENTITY.
>> HAVE WE HAD ANY SESSIONS OR
ACTIVITY THAT FOCUSES ON THE
SUCCESSFUL OF IMPLEMENTATION OF
MULTISCALE MODELING OUTSIDE OF
WHAT IT WAS INTENDED FOR.
>> SO HERE WE ARE ON THE WIKI.
IN THE SCOURING OF OUR MEETINGS
GO TO NEWS AND EVENTS AND
IMAG-HOSTED EVENTS AND YOU'LL
SEE ALL OUR MEETINGS ARCHIVED
FROM 2006 AND THE WIKI HERE WITH
ALL THE AGENDAS.
INVARIABLY I FOUND AT LEAST FIVE
OR SIX THAT HAD SUCCESS STORIES,
LESSONED LEARNED FROM THE CLINIC
AND DIFFERENT AREAS.
I'M NOT SAYING IT'S NOT A GOOD
THING BUT PERHAPS -- WHAT DID
YOU WANT TO DO WITH THAT?
SO WE'LL CONTINUE TO DO THAT,
YOU'RE SAYING.
CONTINUE TO DO THAT?
>> KIND OF PICKING UP FROM A
COUPLE YEARS AGO THE OUTREACH
EFFORT TO GET OTHER PEOPLE HERE
EXPLORE EXPLICITLY WORKING WITH
PEOPLE AND THE ORGANIZATION AND
LEVERAGING THAT TO MEETING CAN
ALSO HAVE THE REMOTE COMPONENT
AND MAYBE A SEGMENT WHERE WE GET
THEM TO PARTICIPATE AND SHARE
WITH US SOME OF WHAT THEY'RE
DOING IN THE EUROPEAN UNION AND
THE IDEA OF BRING A FRIEND.
THOSE OF US THAT ARE HERE
PARTICULARLY HERE FROM THE
LARGER UNIVERSITIES, IF YOU KNOW
OF RESEARCHERS FROM THE SMALLER
SCHOOLS IN YOUR AREA DOING
LITTLE PARTS OF THIS KIND OF
STUFF, THE EFFORT TO TRY TO
CONTACT THEM AND MAKE SURE
THEY'RE PERSONALLY INVITED AND
KIND OF MENTOR THEM SO THEY
DON'T FEEL LIKE, YOU CAN'T COME
TO NIH.
YOU CAN COME TO NIH.
>> THANK YOU, JOHN.
>> I GUESS ALONG THOSE LINES,
MAYBE ENGAGE IING ENGAGING END
CLINICIANS AND INDUSTRY FOLKS
DOING INTERESTING WORK AND MAYBE
BEYOND SOME OF THE ACADEMIC WORK
BUT ENGAGING THE DIFFERENT TYPES
OF COMMUNITIES AND USERS.
>> ORLANDO, DON'T LEAVE.
WE HAD SIMILAR THINGS LIKE THAT
IN THE PAST AND IT WOULD BE NICE
TO HAVE CONCRETE IDEAS OF HOW.
I THINK IN THE TRANSLATION
BREAKOUT SESSION MAYBE SOME OF
THOSE ACTIVITIES THAT WERE
PROPOSED MAY BE USEFUL BUT IT
SORT OF REALLY GETS DIRECT --
EVERYBODY DOES THINGS TO SERVE
THEIR OWN NEEDS SO IF INDUSTRY
FOLKS ATTENDING THIS MEETING
FEELING IT WOULD SERVE THEIR
NEED OR CLINICIANS ATTENDING
THIS MEETING SERVING THEIR NEEDS
IT WOULD BE HELPFUL TO BRAIN
STORM THAT KIND OF IDEA.
>> MEDICAL DEVICE INDUSTRY.
I THINK YOU MENTIONED SOMETHING
YESTERDAY OR THIS MORNING AROUND
THAT.
SPECIFIC PROGRAMS AND TRAINIES
TO HAVE ACCESS TO CUTTING EDGE
TECHNOLOGIES THAT ARE NOT NEFSLY
ACCESSIBLE UP ACADEMIA.
AND THEN WITH A DIFFERENT ITEM,
ON THE ASPECT OF DATA CAPTURE,
YOU KNOW, THERE'S WEARABLE
DIGITAL TECHNOLOGIES GENERATING
A LOT OF DATA AND THERE'S
EMERGING FRAMEWORKS HOW TO
ENSURE ACCESSIBILITY OF THAT
DATA, DATA ENGINEERING COULD BE
A VERY IMPORTANT ASPECT TO THE
MODELLING.
WE TALKED ABOUT DIFFERENT
MODELLING ASPECTS BUT NOT SO
MUCH ABOUT THE DATA ENGINEERING
AND STRUCTURING WHICH IS
CRITICAL.
>> THANKS.
>> SIMILAR TO WHAT WE DISCUSSED
DURING THE BREAKOUT SESSION 3,
THE MORE WE CAN IDENTIFY
EXISTING NETWORKS, THE MORE WE
CAN IDENTIFY EXISTING EFFORTS TO
CAPTURE A LOT OF THESE FOLKS
COLLECTIVELY AND ENGAGE THEM SO
YOU HAVE A WHOLE GROUP OF
INDIVIDUAL ORGANIZATIONS WITHIN
THE SECTOR YOU'RE TALKING ABOUT
I THINK THE BETTER SO LIKE
MEDICAL DEVICES OPPOSED TO
INDIVIDUAL COMPANIES.
>> SPECIFIC NAMES ON CONSORTIUMS
AND THE MEDICAL DEVICE
CONSORTIUM MEET QUITE OFTEN.
ONE THING I NOTICED BECAUSE I'M
AN IEEE MEMBER THEIR GROUP
KICKED OFF A BIG INITIATIVE
DEALING WITH OPEN HEALTH.
SWEEPING UP SOME OF THE BODIES
FROM THE OPEN HEALTH INITIATIVE
THAT ADDRESS SOME OF THE ISSUES
AND THEY'RE PUTTING, IF YOU
WILL, THE CAPITAL WITH THEIR
MEMBERS AND SPONSORSHIPS TO PUT
BIGGER WRAPPERS AROUND WHAT YOU
DELINEATED AND I'LL GIVE A PLUG
FOR THE STRATEGY MARK-UP
LANGUAGE OUT IN THE WEB AND I
THINK THE TAGLINE IS A WORLD
WIDE WEB OF STAKEHOLDERS OF
INTENT AND ACTUAL RESULTS IN A
MACHINE READFEEDABLE FORMAT STOP
BY THE GUY WHO -- READABLE
FORMAT AND WOULD HELP MACHINE
READABLE DOCUMENTS TO FIND WHO
IS DOING WHAT AND USE TECHNOLOGY
TO FIND THAT QUICKLY VERSUS
SEARCHING FOR WEBSITES AND
OPENING UP PDFs.
>> YOU SAID STRATEGY MARK-UP
LANGUAGE?
>> YES, ISO STANDARD I THINK
1469.
-- 17469.
>> CAN YOU ADD IT TO THE WIKI?
>> HAVING CONCRETE SUGGESTIONS
LIKE THAT IS HELPFUL BECAUSE IT
GIVES CLEAR -- SO VERY MUCH
APPRECIATE IT.
>> OKAY.
ANY OTHER THOUGHTS?
SO I GUESS I DIDN'T GET THE
ANSWER FOR BEYOND THIS MEETING?
ARE WE FINE HAVING OUR
CONSORTIUM JUST PLAN YEARLY
MEETINGS AND NOT DO ANYTHING
ELSE?
>> ONE THING THAT CAME UP DURING
THE BREAKOUT SESSION IS ALONG
THE YEAR HOW CAN WE CONNECT WITH
OTHER MEETINGS, CONNECT WITH
OTHER INITIATIVES?
SAY FOR INSTANCE, THERE'S
ANOTHER INITIATIVE WE'LL USE
SOCIAL DETERMINATES OR SOCIAL
BEHAVIORAL ASPECTS, WOULD IT
MAKE SENSE TO HAVE LIKE AN IMAG
MSM SESSION THERE OR BE PART OF
THE WORKSHOP OR SOMETHING?
IT SEEMS LIKE DOING THE
OUTREACHES THROUGHOUT THE YEAR
WILL BE BENEFICIAL FOR THE
CONSORTIUM IN GENERAL BUT ALSO
BENEFICIAL FOR THE INVESTIGATORS
WHO PARTICIPATE BECAUSE THEY'LL
BE ABLE TO GET THEIR WORK OUT
THERE TOO.
THAT MIGHT BE A WAY OF
CONTINUING DIFFERENT THINGS
THROUGHOUT THE YEAR AND AT THE
SAME TIME WE DON'T HAVE TO BEAR
THE BULK OF THE PLANNING.
>> MAKE A CALL OUT TO THE
CONSORTIUM LIST TO SEE IF YOU'RE
INTERESTED IN BEING A REPRESENT
ON BEHALF OF IMAG MSM?
>> YEP.
>> JOHN.
>> ASSUMING THERE'LL BE
SOMETHING ON MODEL CREDIBILITY
NEXT YEAR LET'S LOOK AT GET THE
FDA TO TELL US WHAT WE DO WITH
THE STANDARDS AND GUIDELINES FOR
MEDICAL MODELLING CREDIBILITY.
THAT'S A REAL THING NOW IN THAT
WORLD AND SOMETHING TO TALK
ABOUT.
THEIR PERSPECTIVE AND DOCUMENT
TO BE BRIEFED OUT ON IT AND
WHERE IT CAME FROM CONTINUOUSLY
BE USEFUL.
AND I NOTICED THIS YEAR THERE
WAS SOMETHING IN THERE ABOUT
GETTING FINANCIAL ASSISTANCE TO
ATTEND, TRAVEL MONEY, I DON'T
UNDERSTAND WHAT THAT IS BUT YOU
MAY CONSIDER MAKING PART OF THAT
WE CAN USE TO HELP SMALLER
UNIVERSITIES AND A BLOCK OF
FUNDING FOR ATTENDANCESHIPS TO
IF YOU WANT TO BRING PEOPLE NOT
FUNDED IN THIS KIND OF WORK THEY
CAN APPLY SPECIFICALLY FOR THAT
KIND OF SUPPORT IF YOU CAN
AFFORD TO DO THAT.
>> THANKS.
ALONG THE SAME LINES I DON'T
FLOW IF THIS IS OUTREACH OR
ACTIVITIES BUT I THINK WE
TOUCHED ABOUT THIS IN HALLWAYS
AND WORKSHOPS.
I THINK EVERYBODY HERE IS WORK
ON DIFFERENT APPROACHES AND
METHODS AND SHOWING HOW TO USE
THE METHODS TO TRAINEES AND
STUDENTS SPECIFICALLY IS USEFUL.
I KNOW THERE'S A LOT OF PEOPLE
WHO WANT TO KNOW WHAT MULTISCALE
MODELING IS AND FOR US SOME OF
THOSE THINGS YOU KNOW IT WHEN
YOU SEE IT BUT I THINK THAT
DEFINING IT AND PUTTING SOME
STANDARDS, CALL OUT TO HERBERT
ON THAT ONE, WOULD BE REALLY
USEFUL.
THEY COULD BE WORKSHOPS IN THIS
MEETING OR TACKED ON TO LIKE MY
FIELD OR FOR PHYSICAL SOCIETIES.
THERE'S WAY TO WORK IT OUT.
>> ARE YOU TALKING ABOUT LIKE
HANDS ON CODING AND NOT JUST
DEMONSTRATION BUT ACTUALLY
LEARNING, TUTORIALS --
>> SIMPLE THINGS LIKE I HAVE A
MULTISCALE QUESTION AND HOW DO I
TACKLE THAT AND WHERE DO I START
AND I'VE DONE THAT IN OTHER
MEETINGS AND IT'S VERY USEFUL.
>> THAT RAISES ANOTHER QUESTION,
IS THERE A ROLE FOR DOING
WEBINARS ON SOMETHING NOW AND
THEN?
ONE IS EXPLAINING TO PEOPLE WHAT
MULTISCALE MODELING IS.
THAT COULD BE A RELATIVELY LOW
EFFORT POTENTIALLY HIGH YIELD
THING.
>> THAT WAS A DISCUSSION MAYBE
FIVE YEARS BACK AND I THINK
ANDREW McCULLOUGH SHEPHERDED
THAT AND WE HAVE ONE, I THINK
PETER HUNTER'S BUT WHEN WE HAD
THE WORKING GROUPS AT ONE POINT
WE REQUIRED EVERY WORKING GROUP
TO PRESENT TWO PRESENTATIONS A
YEAR AND SO WE HAVE A TON OF
RECORDED PRESENTATIONS ON THE
WIKI.
THE STEERING COMMITTEE DECIDED
THAT IT'S FINE BUT PEOPLE DON'T
HAVE TIME TO WATCH IT.
AND NOW THAT WE HAVE SO MANY --
SO, THEN ANDREW WAS SAYING WELL,
WHY DON'T WE MAKE DIDACTIC TUE
TO
-- TUTORIAL AND REALIZED IT
TAKES A LOT OF WORK TO DO THAT.
I THINK WE DID ONE TEST BED
TUTORIALS, RIGHT HERE.
WE HAVE MORE THAN ONE.
SO HERE'S A FEW.
WE HAVE A FEW HERE.
THANK YOU, NET MAPPERS AND BOND
GRAPHS LML AND THAT'S IT
ACTUALLY.
THE LAST ONE WAS JUST AN
ADVERTISEMENT.
IT TAKES WORK.
>> ALSO THE QUESTION IS THE
AUDIENCE -- SOME OF THESE THINGS
ARE VERY SPECIFIC.
AND SO THERE MIGHT BE A
DIFFERENT WEBINAR MORE ORIENTED
TOWARDS OTHER COMMUNITIES TO
HELP UNDERSTAND SPECIFICALLY TO
THE MSM COMMUNITY.
>> SO WE DO POST THINGS IN
GENERAL LIKE IF WE HAVE AN
INTERESTING PRESENTATION.
SO ALL GET THE MESSAGES AND THE
VIRAL PANDEMIC WORKING GROUP HAS
BEEN POSTING ALL THEIR WEBINARS
EVERY WEEK HERE TOO.
I RECENTLY HOST THE PIRACY X AND
PEOPLE ARE POSTING AND I DON'T
KNOW IF YOU ALL ARE LOOKING BUT
IT WOULD BE GREAT TO GET
FEEDBACK ON THESE.
OPEN SIM AND ALL THAT.
I DIDN'T MEAN TO SAY IT'S NOT A
GOOD IDEA OR YOU CAN CONTINUE TO
POST IF YOU'D LIKE.
>> IN ADDITION TO THE MSM IN
2019 WE ORG ANIZED THE
INTERSECTION OF MSM MODELLING
AND MACHINE LEARNING AND GAVE
RISE TO TWO PAPERS THE REVIEWED
THE STATE OF THE ART.
I THINK IT'S TIME AND I'M KIND
OF HESITANT TO BRING IT UP
BECAUSE I DON'T WANT TO
VOLUNTEER BUT I THINK IT'S TIME
TO LOOK AT THE MULTISCALE
MODELING, MACHINE LEARNING AND
QUANTUM COMPUTING BECAUSE THE
THREE ARE INTIMATELY GOING TO BE
CONNECTED.
MACHINE LEARNING FOR QUANTUM
COMPUTING AND QUANTUM COMPUTING
FOR MACHINE LEARNING.
THERE IS A LOT OF OFFICIAL FOR
GROWTH AND IF YOU WANT TO BUILD
THE FUTURE AROUND THE TECHNOLOGY
MAYBE NEXT YEAR OR THE FOLLOWING
YEAR BUT I'D LIKE TO PUT A PLUG
FOR A SEPARATE TWO-DAY MEETING
TO HAVE IN DEPTH DISCUSSIONS ON
WHAT THE TECHNOLOGIES ARE AND
QUESTIONS ARE.
MAYBE WE COME UP WITH A CONCEPT
FOR A MORE INCLUSIVE BOOK
SOMETHING THAT COMES OUT OF IT
THAT PROVIDES GUIDANCE TO THE
COMMUNITY AND HAVE A WORKSHOP TO
SHOW PEOPLE HOW TO WORK ON THE
MORE ADVANCED PLATFORMS
DEMYSTIFYING THIS.
>> IT'S MACHINE LEARNING AND
MULTISCALE MODELING AND QUANTUM
COMPUTING.
THE THREE COMING TOGETHER.
>> IT'S HANDS ON?
>> IT'S DEMYSTIFYING THE
TECHNOLOGY AND BRINGING IN
AUTHORITIES TO TALK ABOUT WHERE
WE ARE AND WHERE TO GO AND A
FEW HANDS ON BUT NOT A FULLY
HANDS ON BECAUSE THE
TECHNOLOGY'S EVOLVING.
THERE'S A LOT OF THEORETICAL
DISCUSSIONS GOING ON THAT NEEDS
TO BE BROUGHT TO THE FORE.
AT THE END WE WANT RIGOROUS
TECHNIQUE ARE NOT JUST
APPLICATION.
THE TECHNOLOGY IS EVOLVING.
WE TALK ABOUT TECHNOLOGY THE WAY
WE CAN AND THEN SHOW STUDENTS
AND OTHERS TO EASE INTO THE
PLATFORMS.
>> I'LL HAVE TO PUT NAMES DOWN
NOW.
>> SO I DON'T KNOW IF IT WOULD
BE MORE LOGISTICALLY FEASIBLE TO
DO THAT AS A DAY ADD ON TO OUR
MANUAL MEETING UNLESS YOU WANT
TO HAVE IT SEPARATE.
THAT'S SOMETHING THAT THERE
MIGHT BE A LOT OF INTEREST IN
GOING TO BUT MAY NOT HAVE TIME
TO COME TO A COMPLETELY SEPARATE
THING.
SOMETHING LIKE THAT.
I WANTED YOU AS PART OF THE
PROGRAM ANYWAY.
>> OKAY.
MAYBE AS AN ADD-ON TOPIC THE
CONVERGENCE OF THE MULTISCALE
MODELING AND OTHER TECHNIQUES
WITH ADDED TO MANUFACTURING AND
OTHER ACTUAL PHYSICAL TECHNIQUES
FOR PRODUCT DEVELOPMENT
MANUFACTURING.
>> WAIT, ADDITIVE MANUFACTURING?
>> LIKE 3-D PRINTING OR OTHER
FABRICATION APPROACHES LIKE
OTHER TYPES OF MANUFACTURING FOR
PRODUCT DEVELOPMENT, MEDICAL
DEVICE DEVELOPMENT.
THE SYNERGIES AND CONNECTION
POINTS WITH MULTISCALE MODELING.
>> GREAT, THANK YOU.
PLEASE ADD TO ANY OF THE
COMMENTS I WROTE TO CLARIFY.
OKAY.
I THINK WE'RE DONE.
ALL RIGHT.
WELL, SO HOW ABOUT SOME FINAL
THOUGHTS STARTING WITH HERBERT
AND THEN TO ME AND WE'LL END THE
MEETING.
>> FINAL THOUGHTS FROM LATE IN
THE DAY AFTER A HANGOVER FROM
LAST NIGHT IN THE PUB.
WELL, IT'S GREAT TO BE BACK IN
PERSON.
IT'S GREAT TO SEE EVERYBODY
AGAIN.
AND WE'VE COME UP WITH SOME
IDEAS TO COLLABORATE WHICH IS
GREAT SO IT'S BEEN A SUCCESSFUL
MEETING FOR ME.
>> IT SEEMS LIKE IN THIS AGE
THERE'S ALWAYS A BUZZWORD OR NEW
CATCHPHRASE BUT MULTISCALE
MODELING HAS PERSISTED ALL THESE
YEARS.
IN FACT IT SEEMS LIKE MORE AND
MORE IT IS ACTUALLY ONE OF THE
KEY METHODS TO ISSUES OR
QUESTIONS WE FACE SO IT SEEMS
LIKE A BIG PART OF WHAT WE
REA
REALLY NEED TO DO IS BROADEN
UNDERSTANDING.
BROADEN KNOWLEDGE OF WHAT WE
ACTUALLY DO.
SO I THINK IT'S REALLY IMPORTANT
TO HAVE THIS MEETING BECAUSE
THIS IS OUR OPPORTUNITY AFTER
SEVERAL YEARS TO FINALLY GET
BACK TOGETHER AND WE HAVE TO
KEEP THAT IN MIND.
THE MORE WE CAN PROPAGATE THE
BENEFITS OF MULTISCALE MODELING
THE MORE WE CAN GROW THIS FIELD.
>> IT WAS WONDERFUL TO SEE SO
MANY PEOPLE AFTER SO MANY YEARS
IT WAS LIKE A RIB VAN WINKLE
EPISODE AND THOUGH WE'RE HERE AT
THE NIH CAMPUS IT'S WONDERFUL TO
MEET COLLEAGUES FROM FDA AND
VARIOUS PARTS OF DEPARTMENT OF
DEFENSE RESEARCH AGENCIES.
FOR THAT I'M SUPER GRATEFUL
EVERYONE CAME OUT.
THANK YOU.
>> I'LL JUST ADD AN
ACKNOWLEDGEMENT OF FOLKS HERE
ESPECIALLY THE FOLKS AT NIH,
GRACE AND LIZ AND REED WERE
WONDERFUL TO WORK WITH AND
DENISE, WHO I GUESS HAD TO LEAVE
EARLY WAS A SHOT IN THE ARM FOR
US.
>> I WILL ECHO THAT.
I WANT TO THANK THE COMMITTEE
AND DENISE AND REED.
YOU GUYS MADE THIS HAPPEN.
AT ONE POINT I WAS THINKING I
DON'T KNOW WHAT'S GOING TO
HAPPEN WITH THE MSM AND IMAG.
IT SEEMS LIKE WE HAVE BEEN
REV
REVIVED.
THANK YOU ALL FOR COMING AND
BEING HERE AND INTERACTING WITH
EVERYONE AND EXCITING TO SEE
DISCUSSIONS STILL GROWING AND
PEOPLE ARE ENJOYING THIS
ACTIVITY AND FOR ME I FEEL LIKE
WE CAN MAKE A LOT OF IMPACT.
I FEEL LIKE THIS COMMUNITY IS
VERY UNIQUE IN THAT SENSE THAT
YOU ALL CAME ON YOUR OWN.
WE DIDN'T FORCE YOU TO COME AND
YOU WERE HERE TO SHARE IDEAS AS
YOU'VE ALWAYS DONE AND
REMEMBERING ALL THOSE WONDERFUL
REMEMBRANCE SESSIONS.
I THINK A LOT OF THOSE FOLKS
WOULD HAVE BEEN GRATEFUL TO HERE
THAT THEIR LEGACIES ARE LIVING
ON AND ESPECIALLY WITH THE FOCUS
ON THE EARLY CAREER
INVESTIGATORS, A SPECIAL THANKS
TO VICTOR AND THEIR TEAM AND
ELENA GOLDBERG AND LIZ AND JASON
TO REEL SAY THE HIGHLIGHT OF THE
FUTURE IS THE NEXT GENERATION.
I WILL SAY THANK YOU AGAIN AND
AGAIN IF YOU WANT TO BE PART OF
THESE ACTIVITIES WE JUST WROTE
DOWN PLEASE POST IT IN THE WIKI
SO WE CAN DOCUMENT AND SEND ANY
FEEDBACK YOU MIGHT HAVE IN THE
WIKI AND I WISH YOU SAFE TRAVELS
HOME AND UNTIL THE NEXT TIME WE
MEET.
>> CAN I ADD ONE QUICK THING,
NATURALLY I WANT TO ECHO WHAT
JASON SAID ABOUT THE WHOLE
COMMITTEE IT'S BEEN GREAT
WORKING WITH EVERYONE BUT I WANT
TO SPECIFICALLY HIGHLIGHT GRACE.
ALL THESE YEARS WHEN YOU THINK
OF MULTISCALE MODELING YOU THINK
OF GREAT -- GRACE AND BEING THE
LEADER, THE EVANGELIST THE FORCE
IN PUSHING MULTISCALE MODELING
HAS BEEN INVALUABLE IF YOU
HADN'T PUSHED THIS WOULD WE HAVE
THIS COMMUNITY SO YOU DESERVE
CREDIT FOR ALL THIS.
>> THANK YOU ALL.
YOU GUYS ARE THE WIND BENEATH MY
FEET.
IF IT WEREN'T FOR YOU ALL I
WOULDN'T BE DOING IT SO THANK
YOU.
ALL RIGHT.
THANK YOU AND WE'LL ADJOURN THE
MEETING.