Hiding behind numerous disguises, HIV has been evading researchers for years, leaving the search for a vaccine as elusive as the virus itself. Once believed to exist as pure strains or subtypes ...

More information: Claire Najjuuko et al, Using machine learning to predict poor adherence to antiretroviral therapy among adolescents living with HIV in low resource settings, AIDS (2025). DOI: 10 ...

In an interview with The News & Observer, Dr. Barton Haynes talks future of HIV vaccine development after HHS canceled the ...

Nearly 85% of the 1.7 million adolescents with HIV live in sub-Saharan Africa, along with half of the nearly 40 million people in the world living with HIV.

WASHINGTON — The AIDS virus has hideouts deep in the immune system that today’s drugs can’t reach. Now scientists finally have discovered how HIV builds one of those fortresses — and they ...

“Learning about HIV will empower you,” adds Baldwin. “HIV treatments suppress the virus in the body. This means that someone who is on effective treatment can’t pass it on.

Machine learning can predict which adolescents with HIV will be less likely to adhere to therapy. With such knowledge, healthcare practitioners could implement interventions for those identified as ...

The number of older people with HIV is growing. In part, that's because improved treatments are helping people with the disease live longer. Over half of adults living with HIV in the U.S. and ...

Ding Y, Li J, Gao C, et al. Machine learning algorithms to predict the risk of hyperlipidemia in people living with HIV after starting HAART for 6 months. AIDS . Published online May 21, 2025. doi ...

"There is now an urgent need for bolder and more realistic approaches to address HIV transmission among IPT students, similar ...

More information: Claire Najjuuko et al, Using machine learning to predict poor adherence to antiretroviral therapy among adolescents living with HIV in low resource settings, AIDS (2025). DOI: 10 ...