AI-Driven Drug Repurposing to Identify Potential Geroprotectors

Jesse Poganik, Brigham and Women's Hospital. This pilot project leverages artificial intelligence and advanced aging biomarkers to identify existing FDA-approved medications that may slow biological aging, using clinical data and biospecimens from over 155,000 participants in the Mass General Brigham Biobank. By focusing on approved drugs with established safety profiles, this approach enables rapid translation of findings into clinical practice for promoting healthy aging and preventing age-related diseases.

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Neuroimmune Foundation Models for Uncovering Biomarkers in Alzheimer’s Disease and Related Dementias

Mariano I. Gabitto, Allen Institute. This project seeks to develop and train a novel machine learning foundational model that unifies brain and peripheral immune system omics data to identify blood biomarkers and map cellular changes in AD/ADRD.

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AI-Driven Early Detection of AD Risk Using Speech Features

Marziye Eshghi, MGH Institute of Health Professions. This project will leverage AI-driven analysis of remotely collected speech data to detect early signs of Alzheimer’s disease (AD) by linking speech acoustic and kinematic features to AD molecular pathologies.

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Towards an AI-based Care Plan for ADRD Caregiver-patient Dyads

G. Antonio Sosa-Pascual, REOFTech. Michael Busa, UMass Amherst. This project aims to collect data from wearables and smart home sensors to determine the state, rate, and direction of change in dementia patient agitation and caregiver well-being.

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Developing real-world digital biomarkers from wearable sensors in Alzheimer’s disease

Jen Blankenship, VivoSense Inc. Michael Busa, UMass Amherst. This pilot study aimed to develop and validate new algorithms for detecting walking behavior using wearable sensors in older adults, including those with Alzheimer’s disease or mild cognitive impairment.

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Testing a vocal biomarker platform for remote detection and monitoring of cognitive impairment in the home environment

Erik Larsen, Sonde Health. Brad Dickerson, Massachusetts General Hospital. Bonnie Wong, Massachusetts General Hospital. The pilot project, conducted by researchers from Massachusetts General Hospital and Sonde Health, explored the use of a vocal biomarker platform to detect and monitor cognitive impairment in older adults.

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