UF Health Researchers Use Artificial Intelligence To Better Predict Hepatitis C Treatment Outcomes
When hepatitis C treatments fail, patients can face major health risks and the expense of a second therapy. Now, University of Florida Health researchers have developed algorithms that use artificial intelligence to accurately predict when treatment won’t work.
Rapid Detection of Hepatitis C Virus Using CRISPR/Cas
Piyush K. Jain, Ph.D., an assistant professor at the University of Florida Department of Chemical Engineering, has received a grant from the National Institute of Health (NIH) National Institute of Allergy and Infectious Diseases (NIAID) to develop an early stage, paper-based point-of-care test to detect the Hepatitis C virus.
