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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.

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.

UT Southwestern Medical Center is one of the 10 best large employers in the United States and among the top 5 health care employers, according to the America’s Best Employers 2022 list compiled by Forbes and Statista.

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.

A healthy diet, regular exercise, and sufficient sleep can help prevent the onset of diabetes, a condition affecting more than 37 million Americans, according to Bethany Agusala, M.D., Assistant Professor of Internal Medicine at UT Southwestern.

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.

Thyrotoxic periodic paralysis (TPP), a rare neurological condition causing limbs to go limp, may be an underrecognized cause of paralysis in young Hispanic men, a review of data by UT Southwestern endocrinologists shows.

Two classes of drugs prescribed off-label for some patients with Type 1 diabetes can provide significant benefits but also come with health concerns, according to a study by UT Southwestern Medical Center researchers.

Researchers at UT Southwestern Medical Center have discovered the first molecular biomarker for acquired generalized lipodystrophy (AGL), a rare disorder in which fat deposits are destroyed, causing patients to have dangerously low body fat, signs of accelerated aging, and severe metabolic diseases

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