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

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 ...

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

For doctors who dream of confronting the AIDS epidemic, past ambitions always boiled down to two main goals: prevention, or finding ways to protect people not yet exposed to HIV, through vaccines, ...

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Researchers at Kaiser Permanente developed a machine learning algorithm officials say could ultimately help prevent HIV transmission. The analytical tool more effectively identifies people at risk of ...

The enormous genetic diversity between individual HIV-1 viruses presents a difficult hurdle for vaccine design, as the vaccine-elicited antibodies must neutralize a large range of HIV envelope (Env) ...

Vaccine development remains central to reducing incident HIV globally, particularly where long-acting PrEP access is limited, with therapeutic and preventive approaches advancing in parallel.

“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 ...