A University at Buffalo researcher who studies adolescent HIV prevention in African and diaspora communities was invited to contribute a commentary in the April issue of The Lancet Child & Adolescent ...

Machine learning models, particularly LightGBM, effectively predict hyperlipidemia in PLWH on HAART for six months, with high accuracy and area under curve values. The study's limitations include ...

Machine learning reveals unique COVID vaccine immune signatures in people living with HIV, with differences in antibodies, cytokines, and T cell responses.

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A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both ...

Doxy-PEP reshapes STI prevention, while congenital syphilis surges; experts urge scaling HIV and STI care infrastructure to improve testing and treatment access. At a moment when HIV control has ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models ...

Low-dose hydrocortisone improved verbal learning, memory and attention among virally suppressed women with HIV, who often ...