This fall, the AI Health Community of Practice held its third Scientific Writing Workshop for Duke staff members. This interactive hybrid mini-course, held over multiple sessions in October and November, introduced learners to the process of writing for scholarly publication and culminated in an in-person poster presentation that was part of the December Health Data Science Poster Showcase.

October of 2025 saw a successful second iteration of the annual Duke Summit on AI for Health Innovation, co-sponsored by Duke AI Health, the Duke Center for Computational and Digital Health Innovation, and the Duke Clinical Research Institute. This year’s event took place over two days and was hosted at the NC Biotechnology Center in Research Triangle Park. You can read more about the Summit in our Impact Report.

The 2025 Medical Imaging & AI Proposal Studios selected three outstanding proposal concepts from new investigators for intensive scientific feedback and design support. During November studio sessions, investigators collaborated with some of Duke’s leading data-science experts to strengthen their proposals for upcoming high-impact funding opportunities.

Earlier this year, Duke’s Collaborative to Advance Health Equity (CACHE) Initiative awarded 1-year grants for three proposals to improve care in the Duke Health system. Focused on addressing areas where current approaches to care and support could be improved, the three projects include identification and treatment of chronic kidney disease, transitions of care for patients with opioid use disorder, and improving screening for lung cancer.

A story published by the Duke Center for Autism and Brain Development highlights work by Duke AI Health Director of Data Science Ben Goldstein, PhD, and colleagues, whose AURORA study is using machine learning to sift electronic health records to better identify and understand autism in children.

This past summer saw the return of the popular Machine Learning Summer School program led by AI Health Faculty Council member Ricardo Henao, PhD, with offerings focused on generative AI.

A Duke AI Health Faculty Affiliate Monica Agrawal, PhD, was among this year’s honorees when the 2025 Whitehead Scholars were announced by the Duke University School of Medicine in May. The program recognizes and supports outstanding potential in early-career biomedical researchers.

In May of 2025, the Patient-Centered Outcomes Research Institute awarded funding to a Duke Health program designed to implement electronic monitoring of patients’ self-reported symptoms during cancer treatment. AI Health Advisory Board Member Richard Shannon, who also serves as chief medical officer and chief quality officer for Duke Health, and Duke hematologist/oncologist Thomas LeBlanc, are leading the study.

AI Health Data Science Fellowship Director Matthew Engelhard, PhD (R) is featured in a Duke story reporting on a model developed by Dr. Jonathan Posner, former AI Health Data Science Fellow Elliot Hill, and Engelhard at Duke that uses machine learning to predict mental health risks in adolescents. The project is supported by a $15 million grant from the National Institute of Mental Health.

In January of 2025, former Duke AI Health Director Michael Pencina, PhD (L) is interviewed by JAMA + AI editor Roy Perlis and discusses his recent publication on AI tracking tools for transparency and collaboration. Also in January, Duke AI Health Faculty Council member Michael Cary, PHD, RN (R) is featured in Duke Magazine.