Award: AgeTech Collaborative™ from AARP – AgeTech After Dark: Aging Made Easier Pitch Event Grand Prize Winner

John Ralston and the Neursantys team won the Grand Prize at the AgeTech After Dark pitch competition held in San Francisco on June 11, 2024. Source: @AgeTechCollab X.com Post - June 12, 2024 https://twitter.com/AgeTechCollab/status/1800977836507005201

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Accelerating Balance Recovery Using Adaptive EVS Therapy

John Ralston, Neursantys Inc. VP Nguyen, UMass Amherst This project will develop ML-driven methods to adapt EVS stimulus parameters to each patient’s unique sensory and motor impairment profile to increase the effectiveness of NEURVESTA’s current treatment protocol.

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AI-Based Video App for At-Home Monitoring of Motor Functions in PD Patients

Hamed Tabkhi, Mona Azarbayjani, ForesightCares Inc. Sanjay Iyer, Memory & Movement Charlotte. The pilot project focused on developing and validating an AI-based visual assessment (AVA) app for at-home monitoring of motor function in older adults with Parkinson’s Disease (PD).

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Protecting Patients against Phishing Attacks using AI-enabled Agents

Gang Wang, University of Illinois at Urbana-Champaign. Roopa Foulger, OSF. This project will design, prototype, evaluate, and potentially deploy an AI-enabled voice agent to assist patients (especially older adults) to better recognize phishing messages and reduce cybersecurity risks during patient outreach and communications.

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A Downloadable Oscillometric BP Monitor for All Smartphones with No Attachments

Edward Jay Wang, Billion Labs Inc. This project aims to establish accessible early screening of hypertension by democratizing BP monitoring. We aim to achieve this by converting the billions of smartphones into oscillometric BP monitors without hardware add-ons.

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A Digital Dyadic Coach to Promote Oral Health Self-Care in Older Adults

Inbal Billie Nahum-Shani, University of Michigan. Vivek Shetty, UCLA. Guy Shani, Michigan State University. Susan A. Murphy, Harvard University. This project seeks to develop a novel AI-powered digital tool to empower older adults with Alzheimer's disease and related dementias (AD/ADRD) to engage in oral self-care in at-home settings.

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An Equitable ML-based Music Intervention for At-risk Older Adults

Jennifer Rae Myers, Chelsea S. Brown, Musical Health Technologies. This pilot project focused on developing an equitable machine learning (ML)-based music intervention for older adults at risk for Alzheimer’s disease. The study progressed through two phases, beginning with IRB approvals and participant recruitment in mid-2024.

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