Search
UTSW study examines off-label drugs prescribed in addition to insulin for Type 1 diabetes: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2023/february-type-1-diabetes.html
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.
One in 5 Americans with diabetes don’t know they have it – here’s how to prevent it: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2022/diabetes-prevention.html
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.
Study finds risk factors for severe COVID-19 cases in children : Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2023/nov-severe-covid19-cases.html
Children who had preexisting health problems or who lived in the Southern United States had a higher risk for severe health outcomes from acute COVID-19 infections, according to researchers at UT Southwestern Medical Center.
UT Southwestern pioneers PULSAR-integrated radiotherapy with immunotherapy for improved tumor control: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2021/pulsar-integrated-radiotherapy.html
Artificial intelligence, along with a $71-million expansion of Radiation Oncology services, is allowing UT Southwestern Medical Center cancer physicians to pioneer a new PULSAR radiation-therapy strategy that improves tumor control compared with traditional daily therapy.
UTSW, other leading medical centers create AI consortium: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2024/march-train-consortium.html
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.
A MEG powerhouse: How UTSW is pushing the limits of brain research, care: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2025/aug-meg-powerhouse.html
Most days, neurologist Sasha Alick-Lindstrom, M.D., M.P.H., FAAN, FACNS, FAES, can be found staring at rows of brain signals on multiple computer screens, inspecting the squiggly lines for any irregularities or spikes of electrical activity.
Nerves may be key to blocking abnormal bone growth in tissue: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2021/abnormal-bone-growth.html
Blocking a molecule that draws sensory nerves into musculoskeletal injuries prevents heterotopic ossification (HO), a process in which bone abnormally grows in soft tissue during healing
Study offers insight into management of patients who have interstitial pneumonia with autoimmune features : Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2022/july-interstitial-pneumonia.html
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.
Roger H. Unger, M.D., visionary endocrinologist and preeminent authority on diabetes: 1924-2020 : Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2020/unger-visionary-endocrinologist.html
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.
Researchers use machine learning to identify autism blood biomarkers: Newsroom - UT Southwestern, Dallas, Texas
https://www.utsouthwestern.edu/newsroom/articles/year-2021/autism-blood-biomarkers.html
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.