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The study models mitochondrial aging from buccal swabs and develops multiomics markers to diagnose and predict frailty.
EmailThe project collects buccal swabs from adults and applies genomics/epigenomics with machine learning to build a mitochondrial aging clock. In parallel, it develops multiomics models to detect frailty, with the goal of earlier, more accurate identification and potential to inform interventions.
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.
