Uploaded bySharpBrains
How can we harness digital technologies and artificial intelligence (AI) to scale up brain research, assessments and interventions?
The document discusses leveraging digital technologies and artificial intelligence to improve mental healthcare, focusing on innovative assessment and intervention methods. It highlights contributions from various experts and introduces tools such as the DCTClock for cognitive assessment, emphasizing its clinical validation and potential market impact. A significant goal is to enhance patient experience and outcomes in mental health through technology during a time when conventional methods are deemed insufficient.
More Related Content
Similar to How can we harness digital technologies and artificial intelligence (AI) to scale up brain research, assessments and interventions?
How can we harness digital technologies and artificial intelligence (AI) to scale up brain research, assessments and interventions?
- 3. How can weharness digital technologies and artificial intelligence (AI) to upgrade research, assessments and interventions? Dr. Oliver Harrison. Chief Executive of the Health Moonshot at Telefónica Innovation Belén Guerra-Carrillo, NSF Fellow and graduate student researcher at University of Califonia, Berkeley Nancy Briefs, President and CEO of Digital Cognition Technologies Emma Yang, 9th grader, Creator of Timeless app and MIT Solver Chaired by: Kayt Sukel, science writer
- 4. November 2017 HOW CANWE HARNESS DIGITAL TECH AND AI TO SCALE UP BRAIN RESEARCH, ASSESSMENTS AND INTERVENTIONS? Dr. Oliver Harrison
- 5. November 2017 Psychiatrist Computational Neuroscience Central London Sixyears Director of Public Health Abu Dhabi Seven years Health Tech + Public-Private Partnerships Worldwide Five years SVP, Business Development Worldwide Two years Tech CEO Worldwide Ongoing PERSONAL JOURNEY
- 6. Barcelona, 24 May2017 • ±350 million clients • 25 countries • Connectivity provider (foundation layer) • $1bn annual R&D
- 7. Barcelona, 24 May2017 Huge problem Radical solution Breakthrough technology
- 8. November 2017 IF ITAIN’T BROKE, DON’T FIX IT Well, Mental Healthcare is broken... how can we fix it? 1 in 4 every year
- 9. November 2017 DIGITAL CAVALRYCOMING TO HEALTHCARE… FINALLY VR, AR, ER BLOCKCHAIN DATA + MACHINE LEARNING DIGITAL HEALTH
- 10. November 2017 Evolving tools Mentalhealth today Shaping forces Mental health in future? OUR IMMEDIATE CHALLENGE Future mental health The WPA-Lancet Psychiatry Commission on the Future of Psychiatry; Lancet, October 2017
- 11. November 2017 WORLDWIDE, HEALTHCAREIS COMPLEX AND POLITICAL $3.2tn USA, $10.3tn Worldwide
- 12. November 2017 LESSON FROMNATURE – FIND THE RIGHT VECTOR
- 13. November 2017 WORKING WITHYOU Research Platform – coming in 2018… Tools – data analysis, behaviour change tools
- 14. November 2017 www.alpha.company Pascal Weinberger Ourcontact for rapid prototyping pascal.weinberger@telefonica.com
- 15. ©2017 Digital CognitionTechnologies, Inc. Company confidential & proprietary. Nancy Briefs, MBA President & CEO
- 16. 16 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Our Story Transform well known tests into objective, quantified metrics of cognitive function that can detect pre-symptomatic change • Experienced Team • 12+ years development • Clinically Validated • Seminal IP Exclusively licensed • Applying AI to “gold standard” tests • $1.9B+ market opportunity • Currently deployed in >20 sites with Pharma Partners • Commercial 2018 with Neuro-Specialists Cognitive Assessment and Training – Global Forecast to 2021, MarketsandMarkets
- 17. 17 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. New Cognitive Measurement Platform CognitionParkinson’s Disease Multiple Sclerosis Vascular Dementia Lewy Body Disease Traumatic Brain InjurySleep Disorders Huntington’s Disease Medication Effects Surgical Effects Anesthetics Effects Chemotherapy EffectsAlzheimer’s Disease Dementia Healthy Aging Discriminating technology has myriad applications for measuring cognitive function and detecting subtle change Child Development
- 18. 18 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Today’s Standard for Cognitive Assessment • Paper and pencil test • 10 – 20 minutes admin • Physician must administer • Results depend on observation and subjective assessment • Inherent bias • Insensitive to mild impairment Biases: hearing and visually impaired, intubated, low English literacy, communication disorders, age, culture, language, education https://www.mountsinai.on.ca/care/psych/on-call-resources/on-call-resources/mmse.pdf https://www.alz.org/documents_custom/141209-CognitiveAssessmentToo-kit-final.pdf
- 19. 19 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Lead Product: DCTclock™ DCT proprietary test form + digital pen Encrypted data Transmitted over cloud Proprietary algorithms Actionable reports and referrals camera
- 20. 20 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Robust Database • Machine Learning algorithms trained against Lahey Clinic and Framingham Heart Study • Clinically validated technology Graphics: created by Rockicon from Noun Project Normative Sample • 1,530 individuals • Framingham Heart Study: testing since 2011 • Cognitively healthy by consensus diagnosis at time of testing Clinical Sample • 1,382 individuals • Referred for cognitive or neurological complaints • Cognitive impairment by consensus diagnosis at time of testing
- 21. 21 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Classify via AI Feature measurements Report via ML Proprietary Algorithms
- 22. 22 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. DCTclock™ Excels as a General Assessment Removed highly impaired – analysis on mildly impaired segment only. AUC is the accuracy of distinguishing healthy from impaired measured by the area under the ROC curve. 1 represents a perfect test; an area of .5 represents a worthless test. A rough guide: Excellent (.9-1), Good (.8-.9), Fair (.7-.8), Poor (.6-.7), Fail (.5-.6) Detects Mild Impairment Better • Area Under the Curve (AUC) is a measure of accuracy • The closer to 1 the more accurate • Chart shows only MMSE > 26 • DCTclock’s AUC is highest at .83 DCTclock Score (.83) MMSE Score (.72) MoCA clock (.66) MiniCog clock (.62)
- 23. 23 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Distinguishes Disease Stages - 23 -
- 24. 24 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Association with ApoE Genetic Risk and MRI • DCTclock Score (p=0.004) and multiple Composite Scales differentiated high and low risk groups • 1220 Dementia and stroke-free FHS participants genotyped for ApoE classified into risk groups: – High (ApoE4+, n=261) – Low (ApoE4-, n=931) • DCTclock Score showed significant positive association with overall gray matter volume and specific regions • 454 dementia and stroke-free Framingham Heart Study (FHS) participants with MRI
- 25. 25 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Better Correlation with Biomarkers - 25 - Amyloid (global PiB) Entorhinal Tau DCTclock Sel. Remind. MMSE Trails A
- 26. 26 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. … works … is fast, inexpensive, culture fair, scalable, broadly applicable, provides a global platform Early detection is empowering Slowing disease progress is extraordinarily valuable Our Solution
- 27. 27 ©2017 Digital CognitionTechnologies, Inc. All Rights Reserved. Questions nbriefs@digitalcogtech.com
- 29. Emma Yang @emmayang78 emmayang.com • 13Years Old, 9th Grader • Founder of Timeless • Co-Founder of Food4Thought
- 30. 2017 2050 50M 130M Alzheimer’s Disease–The Prevalence
- 31. The Challenges Alzheimer’sPatients Face • Remembering events • Taking in new information • Recognizing people & places • Separating fact from fiction
- 32. A real lifeexample
- 33. Lack of Solutions Thereare many tools in the market but none of them help the patients improve their daily lives
- 34. A First ofits kind, Simple, Easy to use App For Alzheimer’s and Dementia patients to remember events, stay connected and engaged with friends and family, and to recognize people through artificial intelligence based facial recognition technology
- 35. Updates Today ContactsIdentify Timeless
- 36. Network of Sponsorsand Mentors Dr. Melissa Kramps New York-Presbyterian Hospital Partner AND Expert Support Liliia Mandrino Human Experience Designer
- 37. Worldwide Press Coverage USABBC World Service Malaysia Spain
- 38. Wide Reach onSocial Media Over 33K views on the demo video
- 39.
- 40.
- 41.
- 42. Empower the lastgeneration!
- 43.
- 44.
- 45. Big data providesnew insights into learning outcomes Belén Guerra-Carrillo Doctoral Candidate Psychology Department, UC Berkeley 2017 SharpBrains Virtual Summit
- 46. Technology enables usto measure the cognitive effects of prolonged enriching experiences
- 47. Education is along-lasting multifaceted experience
- 48. Does education honecognitive functioning and learning efficacy?
- 49. Higher educational attainmentassociated with better performance across the age range
- 50. Educational attainment moderatesthe age of peak cognitive performance
- 51. Education explains greatervariance in performance on more cognitively complex tasks Task pictures from www.lumosity.com
- 52. Minimal effect ofeducational attainment on novel learning
- 53.
- 54.
- 55. Thank you, Speakers& Participants!
- 56. Thank you, SummitSponsors!
- 57. Thank you, SummitPartners!
- 58. To learn more,visit sharpbrains.com