Vanderbilt University Medical Center and Duke University School of Medicine have been awarded a $1.25 million grant from the Gordon and Betty Moore Foundation for the project “Measuring Artificial Intelligence (AI) Maturity in Healthcare Organizations.”

An artificial intelligence tool developed at Vanderbilt accurately identified pediatric patients at high risk for blood clots in a clinical trial, with no difference in outcomes compared to a control group.

Artificial intelligence experts from industry and from Vanderbilt gathered on the VUMC campus recently for the first annual Healthcare Artificial Intelligence Sessions, or HAIS 23, sponsored by the Brock Family Center.

John Jumper, who led the development of AlphaFold, an artificial intelligence system that can predict the three-dimensional structure of proteins, will give the next Apex Lecture on Wednesday, Aug. 30.

nference, a science-first software company transforming healthcare by making biomedical data computable, and Vanderbilt University Medical Center have announced a strategic agreement aimed at advancing research through the deployment of nference's state-of-the-art federated clinical analytics platform. By leveraging the power of federated AI and machine learning, this collaboration will expand clinical insights in key research areas.

Vanderbilt's Peter Embí, MD, MS, has been named to a National Academy of Medicine committee working to produce a code of conduct for the development and use of artificial intelligence in health, medical care and health research.

A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.