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

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Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

A study on almost four thousand people of African descent has identified a gene that acts as natural defense against HIV by limiting its replication in certain white blood cells. This research paves ...

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 ...

“We searched for human genetic variation that associates with spontaneous control of HIV and identified a novel region in the genome that is only variable in populations of African ancestries,” says ...