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 ...

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

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.

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 report high stress levels and mood disorders that can affect these functions, ...

1. A group of five machine learning algorithms identified whether a patient was a suitable candidate for corneal refractive surgery with 93.4 percent accuracy, a level equal to that of expert ...

“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 ...