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 ...

In a discovery that could spur the development of new therapies for more than 40 million HIV patients worldwide, scientists from Rutgers University and the Salk Institute determined the molecular ...

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

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 ...

The rate of HIV infection continues to climb globally. Around 40 million people live with HIV-1, the most common HIV strain. While symptoms can now be better managed with lifelong treatment, there is ...

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 ...

The Targeted Minimum Loss-based Estimation proved the most accurate capture-recapture model in estimating hidden populations of patients with HIV. A capture-recapture model, named the Targeted Minimum ...