Award Overview
The AI2 Heal Catalyst Grants have successfully supported multidisciplinary collaborations
between AI researchers and clinical and basic science faculty, fostering new ideas to harness AI
tools for improving human health. This interactive grant program provided resources to
generate preliminary data aimed at supporting future extramural medical AI grant proposals.
By adopting a team science approach, the catalyst grants encouraged collaboration across
fields to develop innovative AI methodologies involving real-world medical datasets. The
winning projects will play a pivotal role in advancing AI innovation in healthcare, paving the
way for future extramural grant proposals and career development awards.
AI2Heal catalyst grant winner
Xiao Fan, Ph. D.
Project Title: Variant Interpretation using Protein Language Models and Mutagenesis Assays
Dr. Fan’s research seeks to improve understanding of genetic, biological and medical questions using computational approaches.
AI2Heal catalyst grant winner
Diego Guarin, Ph. D.
Project Title: Automated Video-based Assessment of Gait and Posture Impairments in Older Adults with Vestibular Disorders
Dr. Guarín’s research lives in the intersection between neuroscience, machine learning, and signal processing.
AI2Heal catalyst grant winner
Qianqian Song, Ph. D.
Project Title: AI-Driven Modeling of m6A-Induced RNA Structural Changes in NSCLC
Dr. Song’s research focuses on developing innovative computational methods and graph-based AI.
