Department of Biomedical Informatics

June 10, 2024

Vanderbilt researchers establish biomedical informatics training program in Mozambique

Building sustainable biomedical informatics training and research capacity to address gaps in Mozambique’s national HIV response will help the country leverage newer data-driven and genetics-based approaches for personalized HIV care and molecular epidemiology of the disease.

By Kristen Centers
Photo caption: Jonathan Mosley, MD, PhD, left, Scott Borinstein, MD, PhD, John Shelley, and Vivian Kawai, MD, MPH, are studying how genetic variation not related to disease affects clinical decisions. (photo by Susan Urmy)
June 3, 2024

Genetic variation associated with low white blood cell count impacts clinical decisions

People whose white blood cell levels are near the edge of the “healthy” reference range will hit a clinical decision point that has consequences such as diagnostic procedures and altered treatments.

By Leigh MacMillan
May 30, 2024

NIH awards $4.2 million for AI patient assessment

Tkaczyk and collaborators will assemble a database of more than 11,000 photographs and associated clinical information from diverse patient populations at five centers: Fred Hutchinson Cancer Center, Mayo Clinic, NIH, University of Pennsylvania and VUMC.

By Paul Govern
Daniel Fabbri, PhD, spoke about his entrepreneurial journey from graduate studies to founding a successful health care technology company. (photo by Erin O. Smith)
May 3, 2024

Faculty member Daniel Fabbri describes entrepreneurial journey

The talk provided insights into the challenges and rewards of commercializing academic research.

By Paul Govern
(iStock image)
April 25, 2024

AI shows promise for clinical phenotyping

Researchers at Vanderbilt University Medical Center have demonstrated the potential for large language models like ChatGPT to help generate electronic health record phenotyping algorithms, a critical but time-consuming task in observational health research.

By Paul Govern
April 22, 2024

AI to doctors: Beat that! 

Artificial intelligence programs outperformed doctors at answering typical patient questions — suggesting they could be used to write first-draft responses and help speed doctors’ work.

By Paul Govern