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The project generates high-resolution prevalence and risk estimates with uncertainty to guide targeted public health action.
EmailApriqot, Inc., with partners in Maine, proposes an AI-driven public health surveillance system that combines EHR-based models (including eRADAR) with population-level approaches and uncertainty estimation to produce granular dementia prevalence and risk estimates. A proof-of-concept in Maine aims to improve resource allocation for screening and care.
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.
