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.

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