Revolutionizing Brain Health Monitoring and Intervention with AI
Willow Health presents an innovative AI companion, Willow, designed for personalized brain health monitoring and intervention. Their team, comprising students, scientists, doctors, and entrepreneurs, is dedicated to advancing brain health through continuous monitoring and improvement using digital and biological biomarkers, social engagement, gamification, and personalized recommendations. The challenges addressed include limited data integration, lack of personalization in therapies, and disjointed physical, mental, and behavioral health approaches. The potential market opportunity in addressing stress and burnout, particularly among young adults, is highlighted, emphasizing the importance of AI and ML for personalized interventions based on holistic data analysis.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
FGAI4H-R-039-A09 Cambridge, 21-24 March 2023 Source: Willow Health Title: Att.9 - Presentation - AI for personalized brain health monitoring and intervention Contact: Morgan Moncada E-mail: morgan@mywillowhealth.com Abstract: This PPT contains a presentation on AI for personalized brain health monitoring and intervention given in the workshop on 21 March 2023.
Willow Health AI for personalized brain health monitoring and intervention mywillowhealth.com 2
Willow Health Willow is an AI companion that continuously monitors and improves your brain health using: Digital & biological biomarkers Social & gamification UX Personalized recommendations via ML 1. 2. 3. mywillowhealth.com / morgan@mywillowhealth.com 3
Who are we? Students, scientists, doctors, and entrepreneurs who care deeply about the future of brain health Catherine Tadina, CPO Product Management, Tech/Ops Management Maria Grebenshchikova, CTO MS Computer Science, Entrepreneurship Tech Product Management, Data Science Shifali Singh, PhD Lead Scientific Advisor Clinical Neuropsychologist, HMS Dir., Digital Cognitive Research Morgan Moncada, CEO HBS MBA/MS Biotech (C) Fundraising, Operations, Finance Advisors Tom Abraham Apple Watch Leila Moinpour Meta, UX Leo Kuligin Google, ML/AI Satish Tadikonda HBS, Strategy Julia Austin HBS, Startup Ops Noemi Molnar BeHive, Behav. Sci. 4
Challenges in brain health due to limited data integration Single time point assessments and no data feedback loops Lacking personalization, Therapy one-size-fits all Lacking integration between physical, mental, and behavioral health 5
Many players yet untapped low symptom $190B stress/burnout opportunity ? Higher Symptoms (Clinical Mental Health) Limited supply of therapists Sarah C. 25 (recent grad) Generic Lack holistic data Stressed not depressed 6
Addressing untapped $190B stress/burnout market beginning with young adults Higher Symptoms (Clinical Mental Health) Limited supply of therapists Subclinical Stress & Burnout ($190B) AI/ML Personalization Physical + mental + behav. data Social & gamification 1. 2. 3. 7
Willow integrates holistic data sets Social Personalized Recommendations Sarah C. 25 (recent grad) Stressed not depressed 8
Personalized Sleep / Stress Optimization for Employees Personalized Habit Recommendations Bed by 11 PM Sleep Restriction 2X Cyclical breathing Passive Data Sleep, exercise, calendar Alex B. Software Engr. Quantified Selfer Social Habit-tracking Active Data Evidence-based questionnaires Sleep hygiene Cardio 5X / week 1x Mindfulness / day Sarah C. Recent grad New to mental health 9
Willow AI Product Employees Employers Population-level insights: Personalized insights on stress factors (i.e. sleep) Attrition and performance - Wellness resource utilization, efficacy, and demand Evidence-backed scientific coaching - Gamification & social habit-tracking Integrates with most wearables 10
Business model captures continuous health monitoring trends and unlocks new markets 0-2 years 2+ years DTx, Clinical Trials, RWE >$10B TAM Payors/providers; clinical trial CROs, biotech companies Paying Customer Employers US Sleep & Anxiety $5B TAM End-User Employees Patients Willow Data Inputs Sleep, activity, GPS, behavior, glucose Genetic, nutrition, & microbiome data US Employers (employees) $440M TAM Clinical trial monitoring Reduce attrition Applications Young adult employees $170M TAM Real-world evidence Improve performance Digital therapeutics Optimize resources & costs Subscription: ($150/user/year) 11
Competitive Landscape Willow Health Fitness Wearables Psychoeducation Teletherapy Novel biomarker Biometric/Sensor Data Feedback Just In Time Intervention Personalized recommendation Gamification + Social for retention iOS + Android Holistic (Physical + Mental) 12
Progress & H1 2023 Goals 2020-2022: 300 users testing prototypes (chat bot, interactive surveys, data capture & insights) - $10K grant funding (Spark, Startup Ops) - H1 2023 Alpha Release w/ 500 users - MIT Pilot Study March 2023 - Gamified ML Stress/Sleep coaching iOS app w/ secure data upload & insights - Nucleate Biotech Accelerator / Harvard i-Lab - Pilot discussions with 2 B2B customers - Alpha Release March 2023 13
Pre-Seed Progress Q2 2024 5 B2B Customers $500K Pre-seed (mid-summer close) AI/ML & Front-end iOS engineering UI/UX Designer (part-time) Sales and marketing (part-time) Executive team Software & legal Q1 2024 - - 5,000 users - - Q4 2023 - Launch B2B pilot March 2023: $135K non-dilutive funding awarded from Harvard Blavatnik Fellowship Q3 2023 Fundraising and team expansion Milestones Execute 1 pilot project with B2B partner Secure 1-2 revenue MOUs from employers Exceed digital health retention benchmarks Reach 5,000 users Today - Q2 2023 Alpha release - - Incorporation - Q1 2023 14
ML-powered brain health monitoring For adaptive, responsive, and personalized mental health interventions Digital Biomarker Data Self-Reported Data Value: Passive using smartphones & wearable devices: Evidence-based surveys for depression, anxiety & stress Continuous record of brain health data Heart Rate Variability (HRV) Electrodermal Activity (EDA) Motion / Physical Activity Digital Activity Sleep - - - - - Behavioral Data Analysis on brain health indicators GPS, calendar Personalized resource recommendations Biological Biomarker External Data Glucose, genetic, microbiome Environmental data e.g., weather - Advantage: Mixed-Effect ML models learn individual parameters, thus achieving personalization. Lewis, R. A., Ghandeharioun, A., Fedor, S., Pedrelli, P., Picard, R., & Mischoulon, D. (2023). Mixed Effects Random Forests for Personalised Predictions of Clinical Depression Severity. arXiv preprint arXiv:2301.09815. 15
Our vision: better brain health for life For adaptive, responsive, and personalized brain health interventions throughout life. Integrating new data sets: Cardiovascular, neurodegenerative, & autoimmune diseases EHR - Microbiome - Genetic - Depression & Anxiety Clinical questionnaire data - Biometric - Stress Lifestyle data - diet, calendar, accelerometer, - Age 16
Stress is early brain health indicator With unmet, near-term opportunities Stress: $300B annual cost to US Burnout: $190B annual cost to US Chronic stress anxiety & depression Stress is a factor in chronic diseases >77% of adults feel stress physically Sources: https://today.tamu.edu/2021/08/12/researchers-studying-students-mental-health-response-to-pandemic/ https://www.apa.org/news/press/releases/stress/2020/report-october https://www.jscimedcentral.com/Psychiatry/psychiatry-5-1091.pdf 17
