Confronting Aids in Florida With Artificial Intelligence

A University of Florida research team is playing its part to stop the global HIV epidemic, applying the power of artificial intelligence to medical records to uncover patterns of risk and bias that have left some patients in Florida with poor access to today’s effective treatments — so effective that HIV infections are not sexually transmitted.

Why do some HIV-positive patients miss out on such powerful medicine? Do they lack knowledge, insurance, or some combination of factors that push them into limbo?

To seek answers, the UF team will spend four years studying HIV/AIDS in Florida, where transmission remains stubbornly high. The study is funded by a $3.7 million NIH grant. It will use UF’s HiPerGator 3.0, a centerpiece of the university’s artificial intelligence initiative and one of the most powerful supercomputers owned by a university.

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