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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.

Using artificial intelligence, UT Southwestern researchers have discovered a new family of sensing genes in enteric bacteria that are linked by structure and probably function, but not genetic sequence.

Hip and knee replacements, sports injuries, trauma. That’s typically what comes to mind when one thinks of orthopedic surgery, not diabetes.

Endocannabinoids, signaling molecules produced in the body that share features with chemicals found in marijuana, can shut down genes needed for some pathogenic intestinal bacteria to colonize, multiply, and cause disease, new research led by UT Southwestern scientists shows.

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.

Surgical nerve decompression, used to treat conditions such as carpal tunnel syndrome and sciatica, could play a role in relieving the pain of diabetic neuropathy patients, researchers at UT Southwestern Medical Center found.

An experimental device known as a bionic pancreas kept blood sugar levels within normal ranges more effectively than standard-of-care glucose management among patients with Type 1 diabetes in a multicenter trial conducted partly at UT Southwestern.

Breastfeeding offers a wealth of benefits both for mothers and their babies. Although diabetes can complicate the process, it does not prevent mothers from giving their babies this wonderful start to life, according to UT Southwestern endocrinologist Maria Ramos-Roman, M.D., Associate Professor of

Artificial intelligence can help cancer patients start their radiation therapy sooner – and thereby decrease the odds of the cancer spreading – by instantly translating complex clinical data into an optimal plan of attack.

Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.