20160811 Big Data for Health and Medicine
•
2 j'aime•445 vues
Talk at the Midwest Big Data Hub: biomedical research in an increasingly digital world.
Recommandé
Recommandé
Contenu connexe
Tendances
Tendances (20)
En vedette
En vedette (11)
Similaire à 20160811 Big Data for Health and Medicine
Similaire à 20160811 Big Data for Health and Medicine (20)
Plus de Brian Bot
Plus de Brian Bot (8)
Dernier
Dernier (20)
20160811 Big Data for Health and Medicine
- 1. brian m. bot | principal scientist | 2016 aug 11 sage bionetworks big data for health and medicine biomedical research in an increasingly digital world | @BrianMBot university of nebraska at omaha
- 2. biomedical research in an increasingly digital world
- 3. biomedical research in an increasingly digital world production
- 4. biomedical research in an increasingly digital world distribution
- 5. biomedical research in an increasingly digital world aggregation
- 6. biomedical research in an increasingly digital world
- 7. biomedical research in an increasingly digital world
- 8. biomedical research in an increasingly digital world
- 9. biomedical research in an increasingly digital world
- 10. biomedical research in an increasingly digital world
- 11. 6% 21% 8% 11% 54% cannot reproduce can reproduce in principle can reproduce w/ discrepancies can reproduce from processed data w/ discrepancies can reproduce partially the status quo tolerates poor communication of findings Ioannidis A. et al. Nature Genetics 2009
- 12. “Scientists often study the past as obsessively as historians because few other professions depend so acutely on it. Every experiment is a conversation with a prior experiment, every new theory a refutation of the old” -Siddhartha Mukherjee, The Emperor of All Maladies
- 13. sage bionetworks
- 14. sage bionetworks promote open systems, incentives, and norms to redefine how complex biological data is gathered, shared, and used our approach
- 15. sage bionetworks engage diverse communities of researchers around biological and analytical problems too complex for a single institution our focus empower citizens to track their own health and contribute deep phenotypic data to research topics important to them
- 16. CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium PsychENCODE Accelerating Medicines Partnership Resilience Project M2OVE-AD Consortium Dengue Fever LINCS project Oncology Molecular Classifiers Next Gen Scientific Publishing Mozilla Science Labs sage bionetworks
- 17. public / private partnership between NIH, 10 biopharmaceutical companies and several non-profit organizations Accelerating Medicines Partnership
- 18. ($ Millions) Total Project Total NIH Total Industry Alzheimer’s Disease 129.5 67.6 61.9 Type 2 Diabetes 58.4 30.4 28 Rheumatoid Arthritis 41.6 20.9 20.7 TOTAL 229.5 118.9 110.6 Accelerating Medicines Partnership
- 19. Target Discovery Target Discovery Target Discovery Target Discovery Target Validation Target Validation Target Validation Target Validation Shared Information for Target Identification coordinate sharing of early-phase target identification insights Accelerating Medicines Partnership
- 20. AMP-AD Collaborative Workspace Quarterly Depositions Broad/ RUSH Mt. Sinai U Fl/ ISB/ Mayo Emory Sage Other Partners Individual Partner Workspaces AMP-AD Data Portal Consortium Space Public space AMP-AD Synapse Project Structure Accelerating Medicines Partnership
- 21. CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium PsychENCODE Accelerating Medicines Partnership Resilience Project Dengue Fever LINCS project Oncology Molecular Classifiers Next Gen Scientific Publishing Mozilla Science Labs sage bionetworks M2OVE-AD Consortium
- 22. analysis of: 12 tumor types 6 molecular profiling platforms TCGA Pan-Cancer Consortium
- 23. 18NPG papers 68core projects 248researchers 28institutions 1070datasets 1723results TCGA Pan-Cancer Consortium
- 25. CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium PsychENCODE Accelerating Medicines Partnership Resilience Project Dengue Fever LINCS project Oncology Molecular Classifiers Next Gen Scientific Publishing Mozilla Science Labs sage bionetworks M2OVE-AD Consortium
- 27. A B C D E F 1 2 3 4 5 6 expert team data subtype CRC Subtyping Consortium
- 28. A B C D E F 1 2 3 4 5 6 ... expert team data subtype CRC Subtyping Consortium
- 30. doi:10.1038/nm.3967 doi:10.7303/syn2623706 CRC Subtyping Consortium
- 31. sage bionetworks engage diverse communities of researchers around biological and analytical problems too complex for a single institution our focus empower citizens to track their own health and contribute deep phenotypic data to research topics important to them
- 32. Healthmobile
- 33. Healthm
- 34. insular health trackingmove beyond
- 35. nearly 200 million smart phone users in US insular health trackingmove beyond
- 36. insular health trackingmove beyond Stephen Lam / Getty Tech giants moving into health may widen inequalities and harm research, unless people can access and share their data, warn John T. Wilbanks and Eric J. Topol. (but be careful) 20 july 2016
- 38. >75%
- 40. how to balance desire to share w/ importance of privacy?
- 41. 2013 september
- 42. 2015 march
- 44. the hype cycle
- 49. ~75k participants across all studies >70% opted to share broadly
- 50. 50 mPower
- 51. passive measures gps - displacement vectors gps - displacement vectors - - structured activities tapping activity walking/ standing activity voice activity memory game surveys MDS-UPDRS PDQ8 MDS-UPDRS PDQ8 MDS-UPDRS PDQ8 MDS-UPDRS PDQ8 four symptoms of PD motor initiation gait/balance hypophonia memory
- 52. motor initiation gait/balance hypophonia memory mPower activities
- 53. x y z userAcceleration gravity rotationRate attitude device motion readings at 100 hz gait / balance
- 54. gait / balance
- 55. Monty Python's The Flying Circus gait / balance
- 59. mPower six month data release 9,520 unique participants 8,320 completed at least one task 198,639 total activities and surveys completed 1,087 self reported parkinson diagnosis
- 60. mPower six month data release task name type of task and schedule unique participants unique tasks demographics survey - once 6,805 6,805 MDS-UPDRS survey - monthly 2,024 2,305 PDQ8 survey - monthly 1,334 1,641 memory activity - t.i.d. 968 8,569 tapping activity - t.i.d. 8,003 78,887 voice activity - t.i.d. 5,826 65,022 walking activity - t.i.d. 3,101 35,410
- 63. Parkinson’s Disease Foundation Eli Lilly AstraZeneca Apple Verily Intel Infocepts Posit Science MIT The Ohio State University University of Otago University of Texas Health Science Center Istanbul Sehir University University of Iowa University of Virginia University of Toronto Johns Hopkins University Vanderbilt University University of Rochester McGill University Xi'an Jiaotong University University of Washington Harvard University mHealth research communityParkinson
- 68. promote an ecosystem where research is conducted for others to consume
- 69. promote an ecosystem where research is conducted for others to consume … A second concern held by some is that a new class of research person will emerge — people who had nothing to do with the design and execution of the study but use another group’s data for their own ends, possibly stealing from the research productivity planned by the data gatherers, or even use the data to try to disprove what the original investigators had posited.
- 70. promote an ecosystem where research is conducted for others to consume … … There is concern among some front- line researchers that the system will be taken over by what some researchers have characterized as “research parasites”research parasites
- 71. promote an ecosystem where research is conducted for others to consume … … research parasites … …
- 72. promote an ecosystem where research is conducted for others to consume
- 74. mHealth research community Sage Bionetworks joins The Scripps Research Institute (TSRI) for PMI Cohort Program via Participant Technology Center (PTC) 06 July 2016
- 75. mHealth research community Sage Bionetworks joins The Scripps Research Institute (TSRI) for PMI Cohort Program via Participant Technology Center (PTC) In collaboration with Scripps Participant Technologies Center (PTC): • Sage Bionetworks will be responsible for the patient consent and data governance, as well as the community outreach and participant engagement efforts of the PTC • Sage Bionetworks will also be engaged in the scientific and engineering work to develop new methodologies for measuring symptoms of health and disease, including developing symptom measurements for phone, wearable, and other sensors
- 77. brian m. bot ———————— principal scientist community manager brian.bot@sagebase.org @BrianMBot thank you sage bionetworks