Revolutionizing Brain Health Monitoring and Intervention with AI

 
FGAI4H-R-039-A09
 
Cambridge, 21-24 March 2023
 
Willow Health
 
2
 
AI for personalized brain health
monitoring and intervention
mywillowhealth.com
 
Willow is an AI companion that continuously
monitors and improves your 
brain health
 using:
 
1.
Digital & biological biomarkers
2.
Social & gamification UX
3.
Personalized recommendations via ML
 
3
 
Willow Health
 
mywillowhealth.com
 
/ 
morgan@mywillowhealth.com
 
Who are we?
 
4
 
Morgan Moncada, CEO
HBS MBA/MS Biotech (C)
Fundraising, Operations,
Finance
 
Leila Moinpour
Meta, UX
 
Catherine Tadina, CPO
Product Management,
Tech/Ops Management
 
Shifali Singh, PhD
Lead Scientific Advisor
Clinical Neuropsychologist, HMS
Dir., Digital Cognitive Research
 
Students, scientists, doctors, and entrepreneurs who care deeply about the future of
brain health
 
Maria Grebenshchikova, CTO
MS Computer Science, Entrepreneurship
Tech Product Management, Data Science
 
Satish Tadikonda
HBS, Strategy
 
Advisors
 
Julia Austin
HBS, Startup Ops
 
Noemi Molnar
BeHive, Behav. Sci.
 
Leo Kuligin
Google, ML/AI
 
Tom Abraham
Apple Watch
 
Challenges in brain health due to limited
data integration…
 
5
 
 
 
 
 
 
Single time point
assessments and no
data feedback loops
 
Lacking personalization,
Therapy “one-size-fits all”
 
Lacking integration
between physical, mental,
and behavioral health
 
Many players yet untapped low symptom
$190B stress/burnout opportunity
 
6
 
Higher Symptoms
(Clinical Mental
Health)
 
Limited supply of
therapists
 
Employee burnout, turnover, worse performance
 
Generic
Lack holistic data
 
Sarah C. – 25
(recent grad)
 
“Stressed” not
depressed
 
Addressing untapped $190B stress/burnout
market beginning with young adults
 
7
 
Subclinical Stress &
Burnout ($190B)
 
Limited supply of
therapists
 
1.
AI/ML Personalization
2.
Physical + mental + behav. data
3.
Social & gamification
 
Young adults
 
Higher Symptoms
(Clinical Mental
Health)
 
8
 
Willow integrates holistic data sets
 
Sarah C. – 25
(recent grad)
 
“Stressed” not
depressed
 
Personalized
Recommendations
 
Personalized Sleep / Stress Optimization for Employees
 
9
 
Bed by 11 PM
Sleep Restriction
2X Cyclical breathing
 
Sleep hygiene
Cardio 5X / week
1x Mindfulness / day
 
Personalized Habit
Recommendations
 
Alex B. – Software Engr.
 
Quantified Selfer
 
Sarah C. – Recent grad
 
New to mental health
 
Active Data
Evidence-based
questionnaires
 
Passive Data
Sleep, exercise,
calendar
 
Social Habit-tracking
 
Willow AI Product
 
Employers
Population-level insights:
-
Attrition and performance
-
Wellness resource utilization,
efficacy, and demand
 
10
 
Employees
Personalized insights on
stress factors (i.e. sleep)
 
Evidence-backed
scientific coaching
 
Gamification & social
habit-tracking
Integrates with most
wearables
 
Business model captures continuous health
monitoring trends and unlocks new markets
 
11
 
2+ years
 
 US Sleep & Anxiety
$5B TAM
 
0-2 years
 
Applications
 
Reduce attrition
 
Improve performance
 
Optimize resources & costs
 
Clinical trial monitoring
 
Real-world evidence
 
Digital therapeutics
 
US Employers
(employees)
$440M TAM
 
DTx, Clinical Trials,
RWE >$10B TAM
 
Subscription:
($150/user/year)
 
Young adult employees
$170M TAM
 
-
Mental Health - Competitive, but plagued by low
retention
-
No competitors
-
No competitors integrate mind + body analytics in an
actionable way
-
Designed around retention features
-
Tracking & gamification
-
Mindfulness education
-
Peer support
-
Patentable voice journaling and cognitive health NLP
technology
 
Competitive Landscape
 
12
 
Mental Health:
Competitive, but plagued
by low retention
No competitors
focus on students
and tracking stress
No competitors
integrate mind +
body analytics
 
Progress & H1 2023 Goals
 
13
 
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
 
Pre-Seed Progress
 
14
 
$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
 
March 2023: $135K non-dilutive funding
awarded from Harvard Blavatnik Fellowship
 
Milestones
-
Execute 1 pilot project with B2B partner
-
Secure 1-2 revenue MOUs from employers
-
Exceed digital health retention benchmarks
-
Reach 5,000 users
 
Alpha release
 
Incorporation
 
Q1 2023
 
Q2 2023
 
Q3 2023
 
Q4 2023
 
Fundraising and
team expansion
 
Launch B2B pilot
 
5,000 users
 
Q1 2024
 
5 B2B
Customers
 
Q2 2024
 
T
o
d
a
y
 
15
 
ML-powered brain health monitoring
 
Digital Biomarker Data
 
Value:
 
Continuous record
of brain health data
 
Analysis on brain
health indicators
 
Personalized
resource
recommendations
 
Advantage: 
Mixed-Effect ML models learn individual parameters, thus achieving personalization.
 
Passive using smartphones &
wearable devices:
 
-
Heart Rate Variability (HRV)
-
Electrodermal Activity (EDA)
-
Motion / Physical Activity
-
Digital Activity
-
Sleep
 
Self-Reported Data
 
Evidence-based surveys for
depression, anxiety & stress
 
External Data
 
Environmental data e.g., weather
 
For adaptive, responsive, and personalized mental health interventions
 
Biological Biomarker
 
-
Glucose, genetic, microbiome
 
Behavioral Data
 
GPS, calendar
 
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.
 
Our vision: better brain health for life
 
16
 
Integrating new data sets:
-
EHR
-
Microbiome
-
Genetic
-
Clinical questionnaire data
-
Biometric
-
Lifestyle data - diet,
calendar, accelerometer,
 
For adaptive, responsive, and personalized brain health interventions
throughout life.
 
Age
Stress
Depression & Anxiety
Cardiovascular,
neurodegenerative, &
autoimmune diseases
 
Stress is early brain health indicator
 
 
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
 
17
 
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
 
With unmet, near-term opportunities
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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.


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  1. 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.

  2. Willow Health AI for personalized brain health monitoring and intervention mywillowhealth.com 2

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Willow integrates holistic data sets Social Personalized Recommendations Sarah C. 25 (recent grad) Stressed not depressed 8

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

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