Cancer researchers at the University of Tennessee Health Science Center have published three groundbreaking studies demonstrating how advanced artificial intelligence and population health analytics can identify and address barriers to quality cancer care.
The findings strongly suggest that genetic testing should be done on all children with heart failure and myocarditis
A transparent chip no larger than a stick of gum is helping scientists at the University of Tennessee Health Science Center, an R1 research institution, transform the way researchers study the human brain and develop treatments for some of the world’s deadliest viruses.
Scientists at St. Jude Children’s Research Hospital have found a way to use a bacterium’s own drug resistance mechanisms against itself, presenting a potentially safer and more effective way to treat certain antibiotic-resistant infections.
The Centers for Disease Control and Prevention estimated in 2023 that 14% of Americans—more than 35 million people—suffer from chronic kidney disease.
Gene expression governs whether neuroblastoma tumor cells exist in either the adrenergic (differentiated and sensitive to treatment) or mesenchymal (less differentiated and therapy-resistant) cell state.
There are about 70 million baby boomers in the United States, many now over age 65.
Researchers in the University of Tennessee, Knoxville’s Tickle College of Engineering are using artificial intelligence and machine learning to provide treatment plans to breast cancer patients more quickly by analyzing pathology reports and other clinical records to determine how much breast cancer is in the body.
