Atul Butte's presentation to the Association of Medical School Pediatric Department Chairs #AMSPDC on March 3, 2018.
Some pre-publication data slides have been removed from this deck.
Translating Trillion Points of Data into New Therapies and Insights
1. Translating a Trillion Points of Data into
Therapies, Diagnostics,
and New Insights into Disease
atul.butte@ucsf.edu
@atulbutte
Atul Butte, MD, PhD
Director, Institute for Computational
Health Sciences
UCSF Distinguished Professor of Pediatrics
University of California, San Francisco
16. Preeclampsia: large cause of maternal and fetal death
• Incidence
• 5-8% of all pregnancies in the U.S. and worldwide
• 4.1 million births in the U.S. in 2009
• Up to 300K cases of preeclampsia annually in the U.S.
• Mortality
• Responsible for 18% of all maternal deaths in the U.S.
• Maternal death in 56 out of every 100,000 live births in US
• Neonatal death in 71 out of every 100,000 live births in US
• Cost
• $20 billion in direct costs in the U.S annually
• Average hospital stay of 3.5 days
Linda Liu
Bruce Ling
Matt Cooper
17.
18. New blood markers for preeclampsia
Linda Liu
Bruce Ling
Matt Cooper
@MarchofDimes
bit.ly/preeclamp
19. Need a
diagnostic for
preeclampsia
Public big data
available
March of Dimes
Center for
Prematurity
Research
Data analyzed,
diagnostic
designed
SPARK grant
($50k)
Life Science
Angels, other
seed investors
($2 million)
@CarmentaBio
progenity.com
bit.ly/carm_prog
22. Credit: Rong Chen, Optra Systems, and Personalis, Inc.
Important genome differences “locked up” in publications
23. Credit: Rong Chen, Optra Systems, and Personalis, Inc.
Collect the “big data” of findings across publications to
analyze the “big data” of the genome
31. Need to use
genomes to
predict
disease
Publications
available for
curation
Stanford
donor
funding
Science
curated,
methods
designed
Company
launched,
Stanford
license
MDV,
Lightspeed,
Abingworth
($20 million)
Same 3 plus
Wellington
Shields ($22
million)
Series C ($33
million)
34. Psychiatric Drug Imipramine Shows Significant Activity
Against Small Cell Lung Cancer
Vehicle control Imipramine
p53/Rb/p130
triple knockout
model of SCLC
Mice dosed after
tumor formation
Joel Dudley
Nadine Jahchan
Julien Sage
Alejandro Sweet-Cordero
Joel Neal
@NuMedii
35. Bin Chen
Wei Wei
Li Ma
Bin Yang
Mei-Sze Chua
Samuel So
Gastroenterology, 2017
36. Need more drugs
for more diseases
Public big data
available
NIH funding
Data analyzed,
method designed
Company launched,
ARRA, StartX,
Stanford license,
first deal
Claremont Creek,
Lightspeed ($3.5
million)
@NuMedii
37. The next big open data: clinical trials
Download 300+ studies today
Drug repositioning, new patient subsets,
digital comparative effectiveness, more!
immport.org
Sanchita Bhattacharya
Elizabeth Thomson
38.
39.
40.
41. • Founded 2015
• 49 affiliated faculty members from UCSF’s four
top-ranked schools
– 5 in National Academy of Medicine
– 1 in National Academy of Science
– 2 in the American Society for Clinical Investigation
– 3 NIH Director’s Awards
– 2 Sloan Foundation fellows
– 1 HHMI faculty scholar
– 1 MacArthur Foundation fellow
– 1 Chan/Zuckerberg faculty fellow
42. Build the strongest team in the world in
biomedical computation and health data analytics
• Academic affinity home for faculty and staff
• Research and development (and spin out technologies)
• Develop new educational plans
• Bring the best new computational and informatics faculty members
to UCSF
• Organize infrastructure and operations
• Build and use our new data assets for precision medicine
45. What could we do with clinical data?
• Clinical researcher at UCLA could run a genome wide association study across UC Health
• Mobile health researcher at UCSD can enable patients to contribute data for research
• Community activist and researcher UC Merced can study environmental factors
contributing to health and disease
• Transplant patient at UC Irvine can download all their data across UC Health
• Data scientist at UC Santa Barbara can model development of Alzheimer's disease and build
a multi-modal predictor
• App designer at UC Riverside can show patients their choices with chronic disease
• CMO at UCSF can build predictive models for readmission, test, share across UC Health
• AI researcher at UC Berkeley can build deep-learning models for image-based diagnostics
• Health services researcher at UC Davis can build predictive models for drug efficacy, and
maybe enable pay-for-performance
• Cancer genomics researcher at UCSC can study all our clinical cancer genomes
48. Predicting the disease before it strikes
Explaining the rare disease that defies experts
Finding drugs for diseases lacking attention
Making sure we do the right thing for patients
An amazing platform for biomedical innovation
Big Data in Biomedicine is…
50. Lessons Learned on the Way
• We are only as junior as we want to be
• Set the level of your peers as high as you can
• If we don’t communicate more and share more, we are going to be invisible
• Data-science, informatics, entrepreneurship doesn’t come accidently; invest
• Innovate beyond your university: industry and startups. Where is our R&D?
• Shoot for changing the world
– H-index and impact factor are fun games, but they’re just games
– Solve real-world problems, address real-world needs, not just easy ones
• Every patient should be in a trial, we should be learn from every patient
• We have to cheer our colleagues to get more total funding into pediatrics
• You determine your future, not NIH
51.
52.
53.
54. Lessons Learned on the Way
• We are only as junior as we want to be
• Set the level of your peers as high as you can
• If we don’t communicate more and share more, we are going to be invisible
• Data-science, informatics, entrepreneurship doesn’t come accidently; invest
• Innovate beyond your university: industry and startups. Where is our R&D?
• Shoot for changing the world
– H-index and impact factor are fun games, but they’re just games
– Solve real-world problems, address real-world needs, not just easy ones
• Every patient should be in a trial, we should be learn from every patient
• We have to cheer our colleagues to get more total funding into pediatrics
• You determine your future, not NIH
55.
56. UC Clinical Data Warehouse Team
Executive Team
• Atul Butte
• Joe Bengfort
• Michael Pfeffer
• Tom Andriola
• Chris Longhurst
Steering Committee
• Lisa Dahm
• Mohammed Mahbouba
• David Dobbs
• Kent Andersen
• Ralph James
• Jennifer Holland
• Eugene Lee
ETL Team
• Albert Dugan
• Tony Choe
• Michael Sweeney
• Timothy Satterwhite
• Ayan Patel
• Niranjan Wagle
• Ralph James
• Joseph Dalton
Data Harmonization
• Dana Ludwig
• Daniella Meeker
Data Quality
• Momeena Ali
• Jodie Nygaard
Business Analyst
• Ankeeta Shukla
Hardware
• Sandeep Chandra
• Jeff Love
• Scott Bailey
• Kwong Law
• Pallav Saxena
Support
• Elizabeth Engel
• Jack Stobo
• Michael Blum
• Sam Hawgood
57. Collaborators
• Alejandro Sweet-Cordero, Julien Sage /
Pediatric Oncology
• Elizabeth Thomson, Patrick Dunn / Northrop
Grumman
• Gabe Rosenfeld, Quan Chen / NIAID
• Andrei Goga / UCSF Oncology
• Mallar Bhattacharya / UCSF Pulmonary
• Minnie Sarwal / UCSF Nephrology
• Geoffrey Gurtner / UCSF Surgery
• Roberta Diaz Brinton / Arizona
• Carol Bult / Jackson Labs
• David Stevenson, Gary Shaw / Stanford
Neonatology
• Takashi Kadowaki, Momoko Horikoshi, Kazuo
Hara, Hiroshi Ohtsu / U Tokyo
• Kyoko Toda, Satoru Yamada, Junichiro Irie /
Kitasato Univ and Hospital
• Shiro Maeda / RIKEN
• Mark Davis, C. Garrison Fathman /
Immunology
• Russ Altman, Steve Quake / Stanford
Bioengineering
• Euan Ashley, Joseph Wu / Stanford Cardiology
• Mike Snyder, Carlos Bustamante, Anne Brunet
/ Stanford Genetics
• Jay Pasricha / Stanford Gastroenterology
• Rob Tibshirani, Brad Efron / Stanford Statistics
• Hannah Valantine, Kiran Khush/ Stanford
Cardiology
• Mark Musen, Nigam Shah / National Center for
Biomedical Ontology
• Sam So, Ken Weinberg, David Miklos /
Stanford Oncology
58. Support
Admin and Tech Staff
• Mary Lyall
• Mounira Kenaani
• Kevin Kaier
• Boris Oskotsky
• Mae Moredo
• Ada Chen
• University of California, San Francisco
• NIH: NIAID, NLM, NIGMS, NCI, NHLBI, OD; NIDDK, NHGRI, NIA, NCATS, NICHD
• California Governor’s Office of Planning and Research
• March of Dimes
• Juvenile Diabetes Research Foundation
• Howard Hughes Medical Institute
• California Institute for Regenerative Medicine
• Hewlett Packard, L’Oreal, Progenity
• Luke Evnin and Deann Wright (Scleroderma Research Foundation)
• Clayville Research Fund
• PhRMA Foundation
• Stanford Cancer Center, Bio-X, SPARK
• Tarangini Deshpande
• Kimayani Butte
• Sam Hawgood, Keith Yamamoto
• Isaac Kohane