Bill Barberg

InsightFormation, Inc.�PopHLC

Vijaya Kolachlama, PhD

Boston University

Melissa Lee, PhD

Diagnostics Accelerator, �Alzheimer's Drug Discovery Foundation

Nicc Johnson

Music Health

Juliet Holt Klinger

TapRoot Interventions and Solutions

Speaker Bio for Bill Barberg

Mini-Bios for Vijaya Kolachlama & Melissa Lee

Vijaya Kolachalama is an Associate Professor in the Departments of Medicine & Computer Science at Boston University. He is also one of the founding members of the Faculty of Computing & Data Sciences at BU. Before joining BU, he worked as a Principal Member of Technical Staff at Draper laboratory, and as a Postdoctoral Fellow at MIT. During his postdoctoral tenure, he was an ORISE Fellow at the US Food & Drug Administration. His laboratory at BU is broadly interested in biomedical machine vision, representation learning and domain generalization, with applications in neurology and cancer. He is currently working with various members of the industry and investment communities to identify ways to translate software technologies to the clinic. His research is supported by grants from the American Heart Association, National Institutes of Health (NIA, NHLBI, NCI & NIDDK), the Karen Toffler Charitable Trust, Gates Ventures, Artificial Intelligence and Technology Collaboratories at NIA, and Johnson & Johnson Enterprise Innovation. He is a Senior Member of IEEE (Institute of Electrical and Electronics Engineers) and a Fellow of the American Heart Association.

Mini-Bios for Nicc Johnson & Juliet Holt Klinger

Bill Barberg

InsightFormation, Inc.�PopHLC

Vijaya Kolachlama, PhD

Boston U School of Medicine

Melissa Lee, PhD

Diagnostics Accelerator, �Alzheimer's Drug Discovery Foundation

Nicc Johnson

Music Health

Juliet Holt Klinger

TapRoot Interventions and Solutions

Why Are We Here?

• What I assume you already know
• Dementia and Alzheimer’s Disease are huge and growing problems
• We need to accelerate our progress in adopting scalable and practical strategies.

BUT HOW?

• How do we create recipes for greater success, at scale?
• What are some “secret sauce” ingredients that can be economically replicated?
• How does my community or state accelerate adoption of collaboration and high-impact strategies?

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The Value of a Community-wide (or larger) Strategy

Watch the May 15 Webinar Recording

Top-Level Strategy Map

Top-Level Strategy Map

Opportunities for New Technology

June 20 Webinar Recording (also featuring Teepa!)

Innovations to Reduce Racial Disparities of Harm

Examples of Innovative Technology for Caregivers

Top-Level Strategy Map

More detailed strategies for Detection, Diagnosis & Support

Opportunities for New Technology

Using AI to for Detection & Monitoring Progression

Vijaya Kolachalama

Leveraging AI for Dementia Assessments

• We are building novel AI approaches to:
1. Process routinely collected data for early dementia assessments in a clinical setting.
2. Process emerging digital data for cognitive assessments in daily living environments.
• Why is it important?
• Accurate assessment of contributing factors to dementia in a clinical setting can identify patients’ eligibility for clinical trials and better patient management.
• Accurate disease diagnosis -> Therapeutic option
• Early identification of cognitive decline in a daily living setting can inform family members.
• Early assessment -> Better management before symptoms worsen

Screening for dementia trials is costly and time consuming

100 – 200-week process

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Global clinical trial screening market process funnel

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57,465¹

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~475,000

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Patients require screening

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Patients required for active AD trials

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88% SFR with each screening consisting of:

• Cognitive test: $600
• MRI: $2,400
• Amyloid-pathology CSF test: $1,250
• PET scan: $8,000

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We aim to:

• Reduce the screen-failure rate
• Reduce the pre-screening process

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AI models on clinical data for patient selection

Qiu et. al., Nat Commun. 2022 Jun 20;13(1):3404.

Digital technologies for brain health

• What’s in a person’s voice?
• Ethologically, voices are the second major channel via which we identify other people.
• Perceptually, individual voices present the brain with a formidable problem of precise differentiation and identification within a class of complex sensory objects.

Waveform

Spectrogram

The power of voice

Mild Cognitive Impairment:2015

Not Demented: 2009

Our work on digital health

1) American Heart Association Focusing Research Rigor on Digital Health. 2024;13:e032870.

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2) Comparing Cognitive Tests and Smartphone‐Based Assessment in 2 US Community‐Based Cohorts. 2024;13:e032733

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3) Design and Feasibility Analysis of a Smartphone‐Based Digital Cognitive Assessment Study in the Framingham Heart Study. 2024;13:e031348

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4) Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research. 2024;13:e031247

Ongoing steps

• Who are the stakeholders?
• Clinicians recruiting patients for dementia trials
• Pharmaceutical companies
• Institutions/companies involved in trial recruitment
• Care providers and patients

Endorsements

Better Data; Better Diagnostics – the role of DxA

Philanthropic Investors in Novel Therapeutics and Diagnostics

THE ADDF HAS OVER 25 YEARS OF EXPERIENCE INVESTING IN NOVEL THERAPEUTICS APPROACHES, BIOMARKERS, AND PREVENTION PROGRAMS FOR ALZHEIMER’S AND RELATED DEMENTIAS ACROSS THE GLOBE

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• Advancing our understanding of disease progression and co-pathologies
• Enabling early diagnosis, better diagnostic accuracy, and prognosis
• Improving rigor and efficiency of clinical trials

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• Improving screening and recruitment into clinical trials, enrolling the right patients, reducing costs
• More accurately monitoring responses to treatment
• Enabling prevention studies
• Ultimately, enabling precision medicine for Alzheimer’s

Enabling Early Detection, Optimizing Clinical Trials, and Improving Patient Care

• Speech and language deterioration is one of the first perceivable signals of cognitive impairment
• Lexical, syntactical, and semantical complexity deteriorate with disease progression
• Speech tone and pace change, pauses, word repetitions are common symptoms
• Speech data can be easily captured and analyzed continuously and passively

Context

Imagine that your phone extracts speech metrics from every phone call you make, just like your watch pedometer counts your steps every time you go for a walk

Vision

Continuous, passive speech-and-language-based biomarker development

The research community needs high-quality voice and clinical data to train machine learning algorithms & realize the potential of voice-base biomarkers

Speech and language biomarkers are promising early passive, digital biomarkers for ADRD diagnosis, prognosis, and monitoring

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The DxA aims to enable the development of speech-based digital �biomarkers by addressing current challenges in the field 

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SpeechDx aims to enable the development of speech-based digital �biomarkers by addressing current challenges in the field 

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SpeechDx is collecting and harmonizing paired speech and clinical data across global clinical sites

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SpeechDx data will open for partner access starting in 2025

alzdiscovery.org/speechdx

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alzdiscovery.org/speechdx

speechdxteam@alzdiscovery.org

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Melissa Lee Presentation (5 minutes)

Research on New Interventions that Leverage AI

Research on New Interventions that Leverage AI

A Healthier Mind With AI-Driven Self-Managed Music Interventions

PRESENTED BY CEO

NICC JOHNSON

NICC@MUSICHEALTH.AI

Music Health is a music technology company and the creator of

Precision Music® — an innovative, AI-powered technology revolutionizing the way music is used as an intervention in brain health management. As a specialized music intervention technology, Precision Music® serves as a foundational layer, enabling the creation of customized music experiences designed to nurture mental well-being.

Who We Are

Personal Health History:

• Gathers detailed individual health journeys
• Enables creation of customized, resonant musical interventions

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Music Taste Profile:

• Explores and decodes unique musical preferences
• Tailors music to align with emotional and mental states

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Mental Health Outcomes:

• Targets music's impact on various mental health conditions
• Aligns music with specific needs, from neurological disorders to general wellbeing

What’s Under The Hood Of Precision Music®

Transforming

Memory Care Outcomes With Music

Vera is an award winning application that was co-designed with international experts in Music Therapy, Neuroscience and team at Berklee College of Music

Improves one-on-one care and group activities supporting the ADL’s

Tailored music stations with access to catalogue of +2 million songs in 40 languages

Effective in all stages of dementia and cognitive decline in elder care

A self managed caregiver tool to improve care outcomes by incorporating music into the activities of daily living

How It Works

“We’ve been using Vera for a few months now and love that it always knows what song to play. Early on, one of our residents was having an episode where she was very agitated and distressed. Our staff created her profile within 2 minutes, switched on the music and her mood instantly changed. She went from calling out in fear to being happy and even dancing! It was incredible to see and this saved us hours of staff attention, not to mention the positive impact on other residents. Thank you, Vera!”

Ron De Haan

Regional Manager

Regis Aged Care

Testimonial

Reduces caregiver burnout

Reduces caregiver churn

Lowers incident rates by over 90%

Transforming daily care outcomes with music

CARE HOURS SUPPORTED

1,608

2,288

4,046

4,429

“We have seen a reduction in unmet needs by over 90% after just two weeks”

Mahassan, Director at Group Homes

October

November

December

January

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MINUTES PER DAY PER LISTENER

MINUTES

CARE HOURS BY OUTCOME (Jan 2024)

$60

/ month

Our Vera subscriptions are priced on a per caregiver basis and grow with the team

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We offer a monthly subscription that enables you to support all of the people in your care

Straightforward pricing that grows with the care team

Per Caregiver

Get Started In Three Easy Steps

We start with 3-4 caregivers (per site) for one month

We track care outcomes for the month and provide you with a detailed report

Together, we create your plan for expansion

Setting the standard for improved memory care outcomes with the help of our global partners:

Thank You

PRESENTED BY CEO

NICC JOHNSON

NICC@MUSICHEALTH.AI

Using AI to Improve Dementia Care Partnering

Juliet Holt Klinger, MA

EVP of Strategy and Growth

TapRoot Interventions and Solutions

Is person-centered dementia care even sustainable without tectonic change?

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Forces are applying pressure to shift

The labor market for caregivers is disappearing and those that are going into the field are trending away from direct care

• Caregiver turnover is conservatively between 40% - 67%
• Caregiver shortage will continue beyond 2023
• Replacement costs of a caregiver can be as high as $3000/associate
• Nearly 60% of today’s nursing students envision careers that take them away from direct patient care
• 58% say that their studies are “a steppingstone toward a broader career in healthcare that will not involve directly caring for patients”.

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¹Elsevier. Clinician of the Future 2023: Education Edition. Oct 2023 is

Current realities (if we face them) are calling for new solutions

• Inadequate support for education and training, language barriers, all make traditional notions of training almost obsolete
• 87% of caregivers learn on the job
• Behavioral acuity and “acuity creep” mean much more complexity in care in lower levels of care
• Behavioral reactions are the #1 reason for transfers to Higher Levels of Care (1.4 million ER visits)

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Caregivers' sources of learning living assistance or home health services U.S. 2017 | Statista

PHI analysis of the American Community Survey, U.S. Census Bureau (2015). 2014 ACS 1-year PUMS. Retrieved from http://www.census.gov/programs-surveys/acs/data/pums.html

Gerlach LB, Martindale J, Bynum JPW, Davis MA. Characteristics of Emergency Department Visits Among Older Adults With Dementia. JAMA Neurol. 2023;80(9):1002–1004. doi:10.1001/jamaneurol.2023.2244

Are we asking too much of caregivers?

Document

Understand the complexity of dementia

Complete ADL’s

Engagement

Complete required Training

Provide Family care and support

Provide person

centered care

Behavior

Problem-solving

Coordinate

Technology is an imperative part of the future roadmap

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“To serve people living with dementia and their caregivers, the health- and social care workforce must be robust and well-trained in caring for people living with dementia. This workforce must be equipped to tailor their services to individual needs and incorporate technologies and other supportive approaches, as appropriate.”

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Milken Institute; Roadmap for Investment in Dementia Care, April 2022

https://milkeninstitute.org/report/dementia-care-roadmap-investment

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How does it most make sense to integrate technology?

Falls Detection

Social Apps

Med Management

Environmental Sensors

Games

Virtual Reality

Care Coordination Platforms

Robots

Engagement Technology

Telehealth

Tablets

Smart Body Sensors

Wearables

Artificial Intelligence

AI and more specifically neural networks are ideal for dementia care

A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

It mimics and model the thinking that we need people to do to problem-solve in dementia care.

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AI/Technology & Consumers Demand for innovation will hone our practices into something sharper, more inclusive, and scalable

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“PERSON CENTERED CARE”

Honoring Preferences/Historic Routines

Getting to know the person/Life Story

Hoping for integration into care

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Technology can laser focus person centered care and approaches

Ella®

Like Having a Dementia Specialist in Your Pocket!

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Instant communication to the desktop

Betty had a near-drowning incident as a child and has low vision

Caregiver Heather can’t get Betty into the shower

Admin reviews interventions to see if they are working

Ella suggests 2-4 interventions, tailored to Betty

Precision makes a difference!

Technology (Ella) can drive detailed care planned approaches

�Juliet Holt Klinger, MA�Juliet@taprootella.com �� https://taprootella.com/��

• Fill out the survey (or email bill.barberg@insightformation.com, if you’re watching the recording) to get the additional resources
• Share the webinar recording and resources with the appropriate people in your community

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Next Steps?

Questions & Answers

CareLink360^™

Digital Health Companion^™

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“A society is measured by how it cares for its elderly citizens”

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World Health Organization website