Grant Funding: a2 Collective Pilot Award to explore LLMs as a support to caregivers of individuals with dementia

The Rippl team (formerly Kinto) led by Joseph Chung is part of a GY3 pilot award collaborating with McLean Hospital to evaluate Rippl's LLM as a resource for caregivers of individuals with dementia and to determine if it gives accurate and useful information and appropriate emotional support to caregiver queries. Source: https://massaitc.org/2024/04/18/creating-a-framework-for-large-language-models-for-caregiver-support-in-dementia/

Continue ReadingGrant Funding: a2 Collective Pilot Award to explore LLMs as a support to caregivers of individuals with dementia

An academic-industrial partnership for AI-based sleep staging in the elderly using an EEG headband and a smartwatch

Joyita Dutta, UMass Amherst. This project will develop AI techniques for at-home sleep staging in seniors using multimodal data from EEG headband and smartwatch devices.

Continue ReadingAn academic-industrial partnership for AI-based sleep staging in the elderly using an EEG headband and a smartwatch

Passive monitoring of walking cadence as a novel tool for aging and cognitive health assessment

Honghuang Lin, UMass Chan Medical School. This pilot project explored the use of wearable accelerometers to passively monitor walking cadence as a potential early indicator of cognitive decline in older adults.

Continue ReadingPassive monitoring of walking cadence as a novel tool for aging and cognitive health assessment

AI-Supported In-Home Brain Assessments for Older Adults and Persons with Alzheimer’s Disease

Quan Zhang, Massachusetts General Hospital. This project will create an adapted version of NINscan, a Near-Infrared Neuromonitoring Device, with the goal of enabling older adults and AD patients to collect high quality brain and physiological data at home.

Continue ReadingAI-Supported In-Home Brain Assessments for Older Adults and Persons with Alzheimer’s Disease

Creation of a technology-ready cohort for patients with Alzheimer’s disease and related dementias and their caregivers

Mark Eldaief, Massachusetts General Hospital. This project will establish a “technology-ready cohort” of individuals with Alzheimer’s Disease and related dementias to support the evaluation of digital assessments relevant to ADRD patients and their caregivers.

Continue ReadingCreation of a technology-ready cohort for patients with Alzheimer’s disease and related dementias and their caregivers

Portable Sleep Monitoring in Older Adults with AD/ADRD and Common Chronic Conditions

Rebecca Spencer, UMass Amherst. The pilot project aimed to validate the accuracy and usability of commercial sleep tracking devices in older adults, including those with Alzheimer’s disease (AD), related dementias (ADRD), or mild cognitive impairment (MCI).

Continue ReadingPortable Sleep Monitoring in Older Adults with AD/ADRD and Common Chronic Conditions

Detection of falls and other health events using sound, activity monitoring and machine learning

Richard Watkins, Livindi. The Livindi pilot project aimed to develop and test a technology platform that detects distress-related events—especially falls—using audio recognition, motion sensors, and machine learning. Participants received pre-configured kits with tablets and sensors, and the system was designed to operate entirely on-device to ensure privacy.

Continue ReadingDetection of falls and other health events using sound, activity monitoring and machine learning