As trustworthiness takes center stage in medical AI, a new paper in Nature Biomedical Engineering describes a solution for trustworthy AI cancer subtyping.

DNA biobanks had lacked systematic ways to evaluate whether the medical record data being analyzed accurately reflected the diseases under study.

Genetic variants known to slow or speed metabolism of drugs for depression and anxiety disorders are very common.

The new artificial intelligence tool aims to spare Vanderbilt Health patients and clinicians the back-and-forth that can delay answers to patients' electronic health care questions.

Rose, associate professor of Biomedical Informatics and Health Policy, will succeed Keith Meador, MD, ThM, MPH, the Anne Geddes Stahlman Professor of Medical Ethics, who has directed the center since 2012.

Vanderbilt Health thoughtfully transforms data into precision care

Large language models were tested on cancer patient notes from two academic medical centers and seven drug trials.