When cancer cells metastasize, breaking away from the primary tumor and spreading to blood, tissue, or lymph nodes, the disease is at its most lethal

A novel imaging test shows promise for identifying kidney cancer patients most likely to benefit from immunotherapy

A UT Southwestern Medical Center study of hundreds of underserved women showed that depression and anxiety, in addition to physical factors such as a higher body mass index and previous births, are associated with lingering postpartum urinary incontinence. The findings, published in Urogynecology

Artificial intelligence is rapidly reshaping the landscape of health care, revolutionizing scientific discovery, drug development, diagnosis and treatment, as well as health care delivery operations. As with any emerging technology, its success lies in its implementation, and The University of Texas

In humans, virtually every cell stores fat. However, patients with a rare condition called congenital lipodystrophy, which is often diagnosed in childhood, cannot properly store fat, which accumulates in the body’s organs and increases the risk of early death from heart or liver disease

Researchers at UT Southwestern Medical Center have developed a novel artificial intelligence (AI) model to improve the detection of breast cancer metastasis, which could reduce the need for needle or surgical biopsies

Over the first year of the COVID-19 pandemic, almost 30% of patients with obesity gained more than 5% of their body weight, and 1 in 7 gained more than 10%. While diet and exercise habits were factors, people with the highest levels of stress, anxiety, and depression reported the most weight gain

In just a few hours, UT Southwestern scientists can tell which variant has infected a COVID-19 patient – a critical task that can potentially influence treatment decisions but takes days or weeks at most medical centers

An international study based at UT Southwestern has revealed a new wrinkle in this genetic-environmental correlation: Obesity significantly amplifies the effects of three gene variants that increase the risk of nonalcoholic fatty liver disease

A team of researchers led by cardiologists at UT Southwestern Medical Center has developed a new online tool to more accurately predict who among those ages 40-65 is at the highest risk of suffering a heart attack or stroke in the next 10 years