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

For people living with human immunodeficiency virus (HIV), life-saving antiretroviral therapy keeps their HIV-infected immune cells from making new copies of the virus, preventing illness and ...

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 ...

Salk Institute researchers, in collaboration with National Institutes of Health (NIH) scientists, have discovered the molecular mechanisms by which human immunodeficiency virus (HIV) becomes resistant ...

A first-of-its-kind systematic review and meta-analysis assessed 9 unique observational studies that included more than 75,000 people living with HIV. Most risk scores—whether for a general or ...

Researchers found that only 8 of 18 HIV risk assessment models have been externally validated and show moderate-to-good discrimination ability for HIV infection prediction. HIV risk assessment is a ...