2017 News Releases
Twenty years ago, the federal government funded the study of a condition quietly killing hundreds of Americans a year – acute liver failure, or ALF. The Acute Liver Failure Study Group’s research led to an understanding of acetaminophen poisoning.
A national effort to understand acute liver failure – two decades and 3,000 study participants later
A multicenter study on acute liver failure funded by the National Institutes of Health (NIH) has increased understanding of this sometimes fatal condition since the research effort began 20 years ago, improving patient care and saving lives.
Patsy Whittenberg made the six-hour drive from the Texas Panhandle to UT Southwestern Medical Center in Dallas to take advantage of a first for Texas – the latest in Gamma Knife surgery – that better protects surrounding brain tissue and offers greater comfort without the need for head restraints.
This afternoon, the Chancellor of The University of Texas System, William H. McRaven, announced the results of a Cultivating Learning and Safe Environments (CLASE) survey across 13 UT System institutions.
The parasite that causes deadly sleeping sickness has its own biological clock that makes it more vulnerable to medications during the afternoon, according to international research that may help improve treatments for one of Africa’s most lethal diseases.
How do mammals keep two biologically crucial metabolites in balance during times when they are feeding, sleeping, and fasting? The answer may require rewriting some textbooks.
It’s a rare, but tragic, event that occurs less than 20 times a year: Teen athletes who are struck in the chest by a ball, causing their heart to stop. And it can be instantly fatal.
A drug commonly prescribed to pregnant women with a history of delivering babies early provides no benefit, and may even increase the risk of gestational diabetes.
A young songbird sings an intricate melody from its caged perch, trying to echo the mating song heard so many times from his father.
After evaluating more than 900 differences in the shape and structure of cancer cells, UTSW researchers developed a computer model able to predict the most deadly lung cancers based on a fraction of those features.