AITC Directory

This project develops artificial intelligence-powered decision-support tools to personalize care for individuals with Alzheimer’s disease and related dementias.

An AI approach using biobank medication histories and multi-omic biomarkers to identify existing drugs with geroprotective potential.

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.

PP4H develops a self-administered ear acupressure system supported by a mobile tool to address pain, insomnia, and fatigue in older adults with chronic conditions.

Johns Hopkins neurologist advancing deep brain stimulation and biomarker development for movement disorders.

An AI surveillance tool integrating EHR and population data to estimate sub-county AD/ADRD prevalence and risk.

An AI/ML platform using All of Us data to identify personalized AD/ADRD risk factors across genetic, biomarker, lifestyle, and socioenvironmental domains.

A text-based chatbot using occupational therapy logic to support aging-related needs.

A project testing the “habita” system, an in-room AI wellbeing monitor for older adults with Alzheimer’s disease and related dementias.

A remote passive monitoring approach using multi-modal home sensors and analytics (EmPowerYu) to track behaviors relevant to AD/ADRD.

Blue Iris Labs is developing wearable and contactless light-exposure sensors with AI-driven analysis to support circadian health and care for people with Alzheimer’s disease and related dementias.

BrainCheck is developing an iPad-based eye-tracking cognitive assessment that uses deep learning to support early detection of Alzheimer’s disease and related dementias.

A project developing a smartphone-based system to support fall prevention therapy and monitoring for older adults.

An LLM-based virtual agent that provides on-demand tech training and support to help care partners use everyday tools for ADRD care.

An AI-augmented agent (“Family in the Loop”) that shares video summaries and synthesized care narratives to engage families in dementia care.

CareMOBI is a user-centered mHealth application that enables family caregivers, adult day centers, and primary care providers to share dementia-related health information and support risk-aware clinical decision making.

Ambient WiFi sensing + ML to detect falls in the home without wearables or cameras.

Robotics researcher designing socially assistive systems to support caregiving and collaboration.

Health systems researcher using predictive modeling to optimize healthcare delivery.

A project to develop SavvySeeSaw, a personalized AI system for real-time assessment and intervention for AD/ADRD using everyday contextual data.