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An AI-assisted brainwave regulation concept aimed at cognition and well-being in older adults.
An AI framework to detect loneliness from voice and text during everyday activities and trigger timely, personalized re-engagement.
A deep learning tool that derives biological age from abdominal MRI–based muscle and fat composition to identify frailty risk.
A remote passive monitoring approach using multi-modal home sensors and analytics (EmPowerYu) to track behaviors relevant to AD/ADRD.
An AI-powered communication app to connect caregivers and families with real-time updates and predictive alerts for older adults’ care.
NPI-augmented machine learning models that integrate EHR data with a literature-derived knowledge graph to predict and inform AD/ADRD prevention.
A wearable IMU-based system to measure Time of Pickup and Vertical Foot Clearance in daily life to assess fall risk in seniors.
A web-based program (“LookAlikes”) that uses AI to personalize cognitive exercises and provide engaging assessment for older adults at risk for Alzheimer’s disease.
A project to co-design symptom-specific digital biomarkers and personalized interventions for neurodegenerative conditions.
A pilot comparing clinic vs. at-home gait measures in at-fall-risk older adults using a compact real-time foot-tracking wearable (RT-BLE-001).
A project to train and validate a model that detects skin frailty (dermatoporosis) from anonymized hand/forearm images to encourage care-seeking.
A mobile and web tool for no-cost, at-home screening of cognitive change with monthly self-tests and alerts.
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