Fostering the development of AI-enhanced technologies to support healthy aging at home for older adults and individuals with Alzheimer’s disease.
Featured Pilots
AI-Driven Early Detection of AD Risk Using Speech Features
Investigators:
Marziye Eshghi, MGH Institute of Health Professions
Leveraging Digital Cognitive Rhythms to Detect ADRD Risk in Family Caregivers
Investigators:
Raeanne C Moore, UCSD
Yeonsu Song, UCLA
An Equitable ML-based Music Intervention for At-risk Older Adults
Investigators:
Jennifer Rae Myers, Musical Health Technologies
Chelsea S. Brown, Musical Health Technologies
News & Events
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Upcoming Webinar – Best Practices for Digital Phenotyping Research in Aging PopulationsMay 14, 2026/0 Comments -
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