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Penn State plans to develop health risk prediction algorithms via AI

 Researchers at Penn State intend to develop AI-based machine learning (ML) algorithms that can examine longitudinal data to forecast risk, especially for specific medical disorders, after receiving a $599,883 grant from the National Science Foundation (NSF). Vasant Honavar, PhD, professor of information sciences and technology, is the Huck Chair in Biomedical Data Sciences and Artificial Intelligence and director of the Center for Artificial Intelligence Foundations and Scientific Applications. He detailed that the data that is collected while a patient visits a hospital will be used by the researchers to forecast health risks and track how those risks vary over time. The researchers want to develop machine learning algorithms to evaluate the data and uncover health risk information.

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