A machine learning model has been developed to accurately predict the incidence of HIV infection in patients with sexually transmitted infections. This has potential implications for developing tailored interventions for HIV prevention.

A machine learning model has been developed to accurately predict the incidence of HIV infection in patients with sexually transmitted infections. This has potential implications for developing tailored interventions for HIV prevention.
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