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The project integrates machine learning with DNA methylation and proteomic data to surface candidate medications that may slow biological aging.
EmailThis project leverages the Mass General Brigham Biobank to screen prescribed medications against blood-based aging biomarkers, then refines candidates through analysis of DNA methylation and plasma proteins. By integrating multiple data types with advanced AI models, the team aims to discover repurposable drugs that consistently show geroprotective signals in real-world data, accelerating translation toward interventions that extend healthspan.
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.
