Hepatitis C – UF Innovate https://innovate.research.ufl.edu Building business on innovation Tue, 12 Aug 2025 04:31:45 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://innovate.research.ufl.edu/wp-content/uploads/favicon-blue_1.png Hepatitis C – UF Innovate https://innovate.research.ufl.edu 32 32 UF Health Researchers Use Artificial Intelligence To Better Predict Hepatitis C Treatment Outcomes https://innovate.research.ufl.edu/uf-health-researchers-use-artificial-intelligence-to-better-predict-hepatitis-c-treatment-outcomes/ Mon, 14 Feb 2022 00:00:00 +0000 https://scaddev1.com/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.

The algorithms use machine learning, a type of artificial intelligence, to produce treatment-failure predictions that are more accurate than current statistical models, the researchers determined. Their findings were published recently in the journal Hepatology.

Read more about UF Health Researchers Use Artificial Intelligence To Better Predict Hepatitis C Treatment Outcomes. ]]> Rapid Detection of Hepatitis C Virus Using CRISPR/Cas https://innovate.research.ufl.edu/hepatitis-c-crispr-cas/ Tue, 21 Sep 2021 00:00:00 +0000 https://scaddev1.com/hepatitis-c-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.

In 2017, the World Health Organization (WHO) estimated 71 million people had chronic Hepatitis C Virus (HCV) but 81% of the living patients were unaware of their infection status. In 2016 alone, an estimated 399,000 HCV-related deaths were reported by WHO. The Center for Disease Control (CDC) estimates that between 2013-2016, around 2.1 million people were infected with HCV within the U.S. and only a fraction of them were diagnosed properly.

“Rapid and reliable detection of early-stage HCV would allow quicker intervention and can significantly reduce the risk of death and infection rate,” said Dr. Jain. “An innovative self-testing diagnostic platform for early detection of HCV RNA using engineered type V and VI CRISPR/Cas systems can be created.”

Learn more about Rapid Detection of Hepatitis C Virus Using CRISPR/Cas.
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