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Reviewed and published by trentmaziarz, March 23, 2026. Discovered and drafted by our automated research pipeline.
UMass Amherst leads a research center called MassAITC, funded by a $20 million federal grant from the National Institute on Aging, that develops AI tools using wearable sensors and contactless monitoring devices to improve care for older adults and people with Alzheimer's disease.
Details
MassAITC (the Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease) was launched in November 2021 with a grant from the National Institutes of Health (grant P30AG073107). It is co-led by CICS professors Deepak Ganesan and Benjamin Marlin and partners with Brigham and Women's Hospital, Mass General Hospital, Brandeis University, and Northeastern University. The center acts as a research accelerator — funding smaller pilot projects and moving them toward clinical deployment. Through three rounds of funding, it has distributed over $4 million in pilot grants to researchers developing machine learning tools for patient monitoring, cognitive assessment, and caregiver support.
Products affected
MassAITC research programwearable sensing researchaging care technology
Sources & Evidence
Company Disclosure
Other practices by University of Massachusetts Amherst
OtherUMass Amherst Dining Services piloted AI-driven robots that use cameras and computer vision to automatically identify and sort recyclables from general waste. The technology, developed by UMass engineering alumni, lets a single waste bin receive all materials and then sorts them automatically — removing the burden from individual users to sort correctly.OtherUMass Amherst runs a central "AI at UMass" website and a series of cross-campus working groups that coordinate AI research, teach faculty about AI tools, and develop ethical guidelines for how AI should be used at the university. These groups span the arts, computer science, social sciences, and public interest technology.OtherUMass Amherst established a formal university policy on the use of generative AI in academic work. The default rule is that using AI to do your academic work for you counts as cheating — unless the instructor of a specific course explicitly says otherwise. The policy took effect Fall 2025 and was developed by a faculty task force that studied the issue throughout 2023–2024.
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