Behavioral Analytics is the New Medical Device
Rhoda Au, Boston University, Laura McIntosh, EmPowerYu. This project will use in-home multimodal sensors to detect changes in daily life activity patterns that indicate fluctuations in cognitive status.
Using AI to Repurpose Small Molecules to Target Amyloid-tau Interactions in AD
Jeremy Linsley, Operant BioPharma This project will use a proprietary robotics and artificial intelligence to identify targets and clinically-tested drugs that could be repurposed for Alzheimer's disease by blocking the harmful interaction between Tau and Amyloid Precursor proteins.
AI-assisted Prediction of Healthy Aging and Alzheimer’s Disease Progression
Chaitanya Gupta, ProbiusDX Inc., Steven Arnold, Massachusetts General Hospital. This project will use Probius QES, a novel technology that measure molecular vibrations in blood plasma samples, to identify and differentiate healthy aging vs Alzheimer’s Disease progression in a well characterized cohort of 1000+ individuals from MassGen.
New Product Launch: AVA Mobility for iPAD
About the Product: AVA is an AI-powered app for routine fall risk assessment. No external hardware, no stored videos - just fast, reliable insights to support safer aging at home! ForesightCares presents AVA, an AI-driven video-based mobile application designed for non-invasive, real-time fall risk assessment of older adults. AVA leverages advanced AI models to analyze mobility patterns using only iPads' built-in cameras, eliminating the need for wearable sensors or video storage. Designed for caregivers, family members, and staff in Independent Living communities, AVA offers a fast, five-minute assessment that ensures full privacy by performing all processing on-device. Its user-friendly interface, affordability, and broad device compatibility make it an essential tool for proactive fall risk evaluation. While AVA does not replace professional medical assessments, it empowers caregivers with objective insights to support safer aging. Source: AVA…
Data Set Released: Data Published at NSRR
Non-proprietary data was published at the National Sleep Research Resource. Source: https://sleepdata.org
Company Launch: EC Safety Technologies LLC
About Founded in 2025, EC-Safety was born with a clear purpose: to transform geriatric care through technology designed with empathy, science, and real collaboration with those on the front lines of caregiving. From the beginning, we have worked hand in hand with experts in gerontology, clinical professionals, technologists, and elder care leaders to create a platform that not only digitizes processes but also eases the operational and emotional burden faced by caregivers. This mission has led us to collaborate with prestigious institutions such as the University of Massachusetts Amherst, where researchers use EC-Safety as a technological foundation in a pioneering project supported by the Massachusetts AI & Technology Center for Aging and Alzheimer’s Disease (MassAITC), focused on improving the lives of Alzheimer's patients and their caregivers through artificial intelligence. Our technology was not born in…
Oral Presentation: MIT Club of Northern California – AI in Healthcare at the JP Morgan Healthcare Conference
John Ralston presented on the NEURVESTA device mentioning the MassAITC pilot project work on January 14, 2025 as an featured AI startup at the AI Healthcare Event in association with the JP Morgan Healthcare Conference. Source: Event Post on MIT Club of Northern California Website
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