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Seattle-Denver VA Center for Innovation

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Seattle-Denver VA Center for Innovation

  1. 1. brian m. bot | principal scientist | 2016 april 08 sage bionetworks va seattle-denver center of innovation smartphones and surveys and sensors, oh my!
  2. 2. sage bionetworks a non-profit organization which pilots a variety of components that are necessary to build a scientific research commons focused on a world where biomedical research will fundamentally change to be more open and collaborative supports communities of researchers working collaboratively across disciplines our approach
  3. 3. sage bionetworks
  4. 4. Wisdom'of'the'crowd' Ci0zen'engagement' Data'sharing' Open' Collabora0ve' Research' Gamifica0on' Community'Development' Consor0a'/'Federa0on' sage bionetworks
  5. 5. CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium PsychENCODE Accelerating Medicines Partnership Resilience Project Influenza Vaccinations Dengue Fever Psychosis Spectrum Disorder Oncology Molecular Classifiers Next Gen Scientific Publishing Mozilla Science Labs sage bionetworks
  6. 6. Accelerating Medicines Partnership public / private partnership between NIH, 10 biopharmaceutical companies and several non-profit organizations
  7. 7. CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium PsychENCODE Accelerating Medicines Partnership Resilience Project Influenza Vaccinations Dengue Fever Psychosis Spectrum Disorder Oncology Molecular Classifiers Next Gen Scientific Publishing Mozilla Science Labs sage bionetworks
  8. 8. TCGA Pan-Cancer Consortium 18NPG papers 68core projects 248researchers 28institutions 1070datasets 1723results
  9. 9. CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium PsychENCODE Accelerating Medicines Partnership Resilience Project Influenza Vaccinations Dengue Fever Psychosis Spectrum Disorder Oncology Molecular Classifiers Next Gen Scientific Publishing Mozilla Science Labs sage bionetworks
  10. 10. CRC Subtyping Consortium
  11. 11. CRC Subtyping Consortium
  12. 12. Wisdom'of'the'crowd' Ci0zen'engagement' Data'sharing' Open' Collabora0ve' Research' Gamifica0on' Community'Development' Consor0a'/'Federa0on' sage bionetworks
  13. 13. Healthmobile
  14. 14. Healthm
  15. 15. move beyond insular health tracking
  16. 16. move beyond insular health tracking nearly 200 million smart phone users in US
  17. 17. >75%
  18. 18. how to balance desire to share w/ importance of privacy?
  19. 19. the beginnings of an open ecosystem in mHealth
  20. 20. stephen friend - president and cofounder, sage bionetworkseric schadt - cofounder and board member, sage bionetworks
  21. 21. participant-centered consent
  22. 22. open source toolkit participant-centered consent http://sagebase.org/pcc
  23. 23. participant-centered consent current consents: written by a doctor reviewed by a lawyer edited by a committee
  24. 24. participant-centered consent put the ‘informed’ back into informed consent
  25. 25. 1. tiered information access by participants
 2. ‘pictorial’ dominant on first information tier
 3. text dominant on second information tier
 4. require perfect score on short assessment participant-centered consent
  26. 26. participant-centered consent
  27. 27. participant-centered consent
  28. 28. participant-centered consent
  29. 29. radical honesty > radical restrictions
  30. 30. changeable by participant
  31. 31. the beginnings of open ecosystem in mHealth balance the security settings of the system with the desires of those being studied
  32. 32. the beginnings of open ecosystem in mHealth ‘qualified researcher’ first pass 1. register for a synapse account 2. get a validated user profile 3. become a certified synapse user 4. submit an intended data use statement 5. agree to the data-specific conditions for use 6. download the data
  33. 33. ~75k participants across all studies >70% opted to share broadly
  34. 34. 39 mPower
  35. 35. 40 48,104 downloads from app store - first six months 16,585 participants consented 14,684 participants enrolled 9,520 agreed to ‘share broadly’ 1,087 self reported a professional diagnosis of Parkinson mPower
  36. 36. Standard Structured Activities Passive Measures • High Friction (long, infrequent) • Validated in large cohorts • Basis for most publications • Mild Friction (more frequent) • Minimal validation • Minimal Friction • Not validated mPower
  37. 37. 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
  38. 38. Motor Initiation Gait/Balance Hypophonia Memory mPower activities
  39. 39. Gait/Balance
  40. 40. x y z userAcceleration gravity rotationRate attitude Gait/Balance device motion readings at 100 hz
  41. 41. Gait/Balance
  42. 42. Gait/Balance
  43. 43. Gait/Balance Monty Python's The Flying Circus
  44. 44. 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
  45. 45. Parkinson mHealth research community
  46. 46. Parkinson mHealth research community
  47. 47. Parkinson mHealth research community
  48. 48. Parkinson mHealth research community
  49. 49. Parkinson mHealth research community
  50. 50. Parkinson mHealth research community
  51. 51. Parkinson mHealth research community
  52. 52. Parkinson mHealth research community
  53. 53. Parkinson mHealth research community
  54. 54. Parkinson mHealth research community
  55. 55. Parkinson mHealth research community
  56. 56. promote an ecosystem where research is conducted for others to consume
  57. 57. promote an ecosystem where research is conducted for others to consume … … …
  58. 58. 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.
  59. 59. 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”
  60. 60. 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”
  61. 61. “research parasites” (oh my)
  62. 62. calling all sage bionetworks “research parasites”
  63. 63. brian m. bot ———————— principal scientist community manager brian.bot@sagebase.org @BrianMBot thank you sage bionetworks

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