AI & Aging

The Abadir Lab works at the intersection of aging science and artificial intelligence (AI) by developing digital biomarkers and predictive tools to understand and intervene in age-related decline. Through our Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research (AITC), we aim to accelerate innovation in clinical care for older adults. Our work integrates biosignals, molecular data, and engineering principles to redefine frailty assessment and improve patient outcomes.

Current Projects

1. Digital Biomarkers of Frailty

We are pioneering the use of multimodal digital biosignals—including speech, handwriting, gait, and eye movement—to detect and track frailty. Leveraging machine learning models, we identify subtle changes in motor and cognitive function that traditional assessments may miss.

2. Gait Analysis Using Markerless Motion Capture

In collaboration with the Whiting School of Engineering, our lab uses AI-powered video analysis to assess gait variability, asymmetry, and stride patterns. These markers help stratify frailty levels and detect early functional decline.

3. Large Language Models (LLMs) for Clinical Insight

We are exploring LLMs trained on clinical notes to identify pre-frail individuals, predict hospitalization risk, and guide care transitions. This effort supports early intervention strategies and care optimization.

4. Circulating Cell-Free DNA (cfDNA) and AI Correlation Modeling

We use machine learning to model relationships between cfDNA signatures and frailty phenotypes. This includes tissue-specific signal deconvolution and integration with inflammatory, metabolic, and epigenetic markers.

5. Smart Therapeutics and Sensor-Based Feedback

Through the GeroTech Incubator, we support development of AI-guided therapeutics, including closed-loop feedback systems to enhance sleep, mobility, and wound healing in older adults.

Collaborators

Our interdisciplinary efforts bring together leaders in medicine, engineering, and computer science:

  • Dr. Rama Chellappa, Professor of Electrical & Computer Engineering, JHU
  • Dr. Jeremy Walston, Division of Geriatric Medicine
  • Dr. Esther Oh, Cognitive Aging Research
  • Dr. Vineet Shenoy & Dr. Laura McDaniel, AI Gait Modeling
  • Industry partners through the AITC commercialization ecosystem

Selected Publications