UCSF Research AI Day, held on March 17, 2025 at the Mission Bay Conference Center, brought together the UCSF community to explore the transformative role of AI in health and biomedical research. Organized by the Bakar Computational Health Sciences Institute, the Clinical and Translational Science Institute (CTSI), and the UCSF Department of Epidemiology and Biostatistics, the event featured an opening session with Chancellor Sam Hawgood and a full day of panels and discussions. Showcasing work from discovery science to clinical applications, the event fostered collaboration and highlighted cutting-edge data, tools, and methods. A vibrant afternoon poster session capped the day’s interactive exchanges.

CITRIS Health was represented at the event through a poster presentation entitled AI-Powered Intervention for ADHD: Enhancing Diagnosis, Supporting Families, and Bridging Genetic Insights.

This project explores AI-powered interventions for Attention Deficit Hyperactivity Disorder (ADHD), aiming to enhance early detection and support families with genetic risks for ADHD. Leveraging large language models and behavioral data, the study identifies key predictors such as hyperactivity and externalizing behaviors. Findings highlight environmental influences—nutrition, screen time, and trauma—on ADHD symptoms. 

The research promotes AI tools for social-emotional learning, stress management, and equitable access to care. Next steps include collaboration with UC experts, engagement with ADHD communities, development of interactive platforms, and longitudinal studies. Methodologies include Random Forest modeling, data visualization, and regression analysis to uncover sex-based and age-specific emotional symptom patterns.

Contributors to this research project include Jolie Lam, Surgical Robotics ​and ​Health Data Science & AI ​for Medicine Program Director​ at CITRIS​ and the Banatao Institute​ at UC Berkeley, and student researchers Alex Liu, Jessica Ma, Jonathan Wibowo, Nat Au-Yeung, and Phyllis Lin.