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AntiCovidAI H4R Stanford 2020

AntiCovidAI Hacking for Recovery Stanford 2020

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AntiCovidAI H4R Stanford 2020

  1. Total interviews this week: 50 Amil Khanzada: amilkh@stanford.edu Anja Zehfuss: azehfuss@stanford.edu
  2. Make everyone’s smartphone an instant Covid-19 testing kit.
  3. Amil Khanzada Anja Zehfuss Ayesha Fraser Alex Kalanda Mimi Dunne, MD Speciality Artificial Intelligence Epidemiology Infectious Disease Global Health Regulatory Affairs and Quality Operations Artificial Intelligence Emergency Medicine Palliative Medicine Role Founder / Chief Technical Officer Chief Operating Officer Chief Clinical Officer Head of Outreach: Africa Chief Medical Officer Value to Team One Young World ambassador AI & software engineering Mobilizing global teams Stanford BS, Human Biology Epidemiology GSB TA Clinical Research Regulatory Affairs and Quality Assurance Operations Entrepreneurship and Innovation Fellow, Stanford DCI NY Covid-19 support
  4. Post H4R knowledge gained • Nonprofit with a for-profit arm • Need to be targeted (not “everyone”) • Clarified beneficiaries and channels • Solidified our value proposition • “Pre-check” is our niche • Contact list grew significantly • Grassroots & industry before FDA • Interviews reflect user enthusiasm • Learn process to be entrepreneur / built a team • The world is waiting for our product!
  5. Pre-H4R thoughts • Goals: • Targeting a wide range national and international partners is the best approach • Build an FDA-approved diagnostic medical app • Mission model canvas encapsulates our vision • Public health officials and medical professionals are our primary contacts/partners
  6. KEY PARTNERS - Public health system - Stanford - One Young World KEY RESOURCES - clinical data - outreach team - AI / app developers - network & partnerships - legal team VALUE PROPOSITIONS provide app to: - easily, instant, non-invasive diagnose COVID - limits virus spread - restore mobility - reopen business - reassurance - return to normal - offline access KEY ACTIVITIES - Data collection / outreach - AI & app development - Regulatory compliance - Grants / fundraising - Legal entity / coverage - Recruitment / HR MISSION ACHIEVEMENT/IMPACT FACTORS - AI performs at precision levels acceptable for FDA approval as medical device - Technology is easy to adopt and use Mission/Problem Description: make everyone’s smartphone an instant and easy COVID testing kit Designed by: The H4Di Team Date: 6/27/2020 Day 1 DEPLOYMENT - website app - mobile app store - social media - institutional rollouts - integrate w/ telehealth BUY-IN & SUPPORT - Public Health System -Healthcare professionals - Hospitals and long-term care facilities - Community members MISSION BUDGET/COST - Legal fees (entity registration, regulatory compliance, data security) - Data collection costs (PPE), IT (servers, GPUs, licenses) - Salaries / stipends - Budget in: donations, grants, licensing fee to hospitals/companies, app cost, subscription cost (free) BENEFICIARIES - government - public health departments everyone else - people living in COVID hotspots, limited medical facilities, dense population - colleges, corporations, hospitals
  7. KEY PARTNERS - Massive Global Foundation - African Public Health Authority - Stanford H4R SMEs - One Young World - 12,000+ ambassadors - 190+ countries KEY RESOURCES - Clinical data - AI / app developers - Partners VALUE PROPOSITIONS - COVID ”pre-check” - Free, fast, non-invasive COVID self-testing - PCR level confidence for FDA emergency use authorization KEY ACTIVITIES - Data collection - clinical - crowdsourcing - AI & app development MISSION ACHIEVEMENT/IMPACT FACTORS - Deployed for testing in shortage areas - Deployed as “pre-check” for industry and individuals - AI refines to PCR precision level Mission/Problem Description: make everyone’s smartphone an instant and easy COVID testing kit Designed by: The H4Di Team Date: 7/3/2020 DEPLOYMENT - Website app - Mobile app - Social media BUY-IN & SUPPORT - African PHS / NGOs - US HCP Management - Donors MISSION BUDGET/COST - Patent, trademark, FDA approval, legal fees (pro bono), IT (servers, licenses), Salaries / stipends Budget in: - donations, grants, subscription / licensing fee for organizations BENEFICIARIES - LMIC (low/middle income countries) - Health system - Employers - Military - Schools - US (after FDA approval) - Research community
  8. We improved our AI technology • Improved cough ML models • Promising results on clinical data • 80%+ accuracy • 70%+ sensitivity / specificity • 70/30 train/test split • 20% false positive rate • 36% false negative rate
  9. We built our MVP to test our hypothesis and collect data
  10. Our specificity has global applications BUT... ● Employer and personal tests may have lower standards ● Far better than temperature checks ● FDA scrutiny highly likely ● Focus outside US until FDA-ready FDA PCR requires 95% specificity
  11. We collected initial data sets 300+ Clinical samples taken at PCR test site 25% COVID-19 positive clinical samples 500 Crowdsourced data (largely COVID-19 negative or not tested)
  12. What We Do Next • Gather Diverse Data • Crowdsourcing coughs globally • Clinical research studies • Refine Technology • Show better metrics on existing clinical data • Develop mobile app and backend server • Solidify Partnerships • County health departments • International CDC task forces • Seeking funding, partnerships, and mobile/AI engineers
  13. Social good DNA My story… never give up! CS230 with Andrew Ng One Young World

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AntiCovidAI Hacking for Recovery Stanford 2020

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