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The project uses associative transcriptomics and AI to identify early Alzheimer’s disease risk without invasive testing.
EmailLed by Dr. Martin Nwadiugwu at Tulane University, this project aims to develop an AI model that predicts Alzheimer’s disease risk based on genetic and cognitive data. By analyzing differences in gene activity and cognitive traits, the model seeks to identify early indicators of disease in a noninvasive, cost-effective manner.
Founder of Care Daily developing AI-powered caregiving and home monitoring tools.
Harvard psychiatrist researching digital markers of mood and cognitive disorders.
Neuropsychologist at Johns Hopkins studying cognitive and neuropsychiatric measurement in aging.
CEO of CareYaya using AI to scale caregiver and elder support technologies.
Johns Hopkins expert in vestibular and balance rehabilitation for older adults.
McLean Hospital researcher studying digital tools for cognitive and emotional health in aging.
