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Researchers at UT Southwestern Medical Center have developed a machine learning model that can identify patients with diabetic cardiomyopathy, a heart condition characterized by abnormal changes in the heart’s structure and function that predisposes them to increased risk of heart failure.

Hundreds of novel genetic variants across an ancestrally diverse cohort of 195 families, including 222 people with autism spectrum disorder (ASD), have been identified by researchers at UT Southwestern Medical Center, expanding the catalog of known mutations associated with ASD.

Daniel Siegwart, Ph.D., Professor in the Departments of Biomedical Engineering and Biochemistry and in the Harold C. Simmons Comprehensive Cancer Center at UT Southwestern Medical Center, has been selected as a fellow of the National Academy of Inventors (NAI) in recognition of his efforts in

What if a microscope allowed us to explore the 3D microcosm of blood vessels, nerves, and cancer cells instantaneously in virtual reality?

UT Southwestern Medical Center is notifying individuals whose data may have been inappropriately disclosed; however, UT Southwestern has received no indication that the information has been used inappropriately.

As weight-loss drugs capture the public’s imagination, UTSW and its Nutrition Obesity Research Center are uniquely positioned to lead the way in discovery, education, and community outreach.

A protein called torsinA plays a key role in the early development of neurons, determining where nuclear pores are placed in the membrane that encloses the nucleus of nerve cells, a study led by UT Southwestern Medical Center researchers shows.

UT Southwestern is notifying patients treated by UT Southwestern physicians of improper disclosure of protected health information.

A novel speech analysis tool that uses artificial intelligence was highly accurate in detecting mild cognitive impairment and dementia in a Spanish-speaking population, according to research led by UT Southwestern Medical Center.

UT Southwestern Medical Center data scientists analyzing genetic sequences of the COVID-19 coronavirus have identified potential vulnerabilities that could help in vaccine development and further study of the infectious disease now spreading worldwide.