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The work builds Large Movement Models from hearing aids/AirPods data to detect deviations linked to balance and pathology.
Emailhominin.ai will test whether individual-level Large Movement Models from head-worn device data can assess static balance and detect changes from personal movement baselines in adults 65+. The aim is accessible, personalized monitoring outside the clinic using existing consumer wearables.
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.
