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The system combines precise glucose and temperature sensing with lightweight online learning to deliver personalized risk alerts.
EmailThis effort develops a wearable platform that fuses high-precision multi-analyte sensors with adaptable machine learning to forecast hypoglycemia risk and provide actionable notifications. Designed for continuous, real-time use, the approach supports tailored recommendations and can expand to additional biomarkers, with the goal of improving safety and quality of life for older adults managing diabetes.
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.
