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 accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

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

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 ...

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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 ...

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

It's designed to take the place of complicated, multiple drug regimens that many people with HIV need to follow. And it's also beneficial because the HIV virus is always evolving.

“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 ...