Fostering the development of AI-enhanced technologies to support healthy aging at home for older adults and individuals with Alzheimer’s disease.
Featured Pilots
Contactless Cardiovascular Health Monitoring for AD using an AI-Enhanced mmWave Radar
Investigators:
Justin Chan, Carnegie Mellon University
Swarun Kumar, Carnegie Mellon University
Neelesh Nadkarni, University of Pittsburgh
AI-Driven Earpiece Wearable to Enhance Symptom Management, Self-Care, and Caregiver Support in AD/ADRD Patients
Investigators:
Selina Zhu, Lumia Health
Paolo Bonato, MGH-Spaulding Rehabilitation Center
AI-Driven Early Detection of AD Risk Using Speech Features
Investigators:
Marziye Eshghi, MGH Institute of Health Professions
News & Events
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Upcoming Webinar – From AI Validation to Evidence: Proving Readiness for Real-World Aging Care SystemsApril 1, 2026/0 Comments -
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Past Webinar – Advancing Fair & Effective AI for Older AdultsDecember 29, 2025/
