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Using machine learning tools to analyze hundreds of proteins, UT Southwestern researchers have identified a group of biomarkers in blood that could lead to an earlier diagnosis of children with autism spectrum disorder (ASD) and, in turn, more effective therapies sooner.

Reuben Arasaratnam, M.D., M.P.H., Assistant Professor of Internal Medicine at UT Southwestern, has been named one of 11 2022 Scholars in Diagnostic Excellence by the National Academy of Medicine (NAM).

Interstitial pneumonia with autoimmune features (IPAF) is a disease with many possible causes and no standard of care, making it particularly difficult to treat. While immunosuppressant drugs are primarily prescribed, they don’t work for all patients.

A faulty gene, rather than a faulty diet, may explain why some people gain excessive weight even when they don’t eat more than others.

UT Southwestern researchers have discovered a molecular pathway that allows cells to sense when their lipid supplies become depleted, prompting a flurry of activity that prevents starvation. The findings, reported in Nature, might someday lead to new ways to combat metabolic disorders and a variety

A type of E. coli bacteria that causes bloody diarrhea uses an amino acid produced by the body in response to infection to intensify its symptoms.

ChatGPT, the artificial intelligence (AI) chatbot designed to assist with language-based tasks, can effectively extract data for research purposes from physicians’ clinical notes, UT Southwestern Medical Center researchers report in a new study.

Roger H. Unger, M.D., a longtime Professor of Internal Medicine, a preeminent authority on glucagon and the development of diabetes, and the founding Director of the Touchstone Center for Diabetes Research at UT Southwestern Medical Center, died Aug. 22. He was 96.

UT Southwestern Medical Center has joined more than a dozen leading medical centers and Microsoft to form the Trustworthy & Responsible AI Network (TRAIN), a national group designed to set standards and safely explore applications of artificial intelligence (AI) in health care.

Using artificial intelligence (AI), researchers from UT Southwestern have developed a way to accurately predict which skin cancers are highly metastatic.