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, ...
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 ...
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) ...
The machine learning classifier was able to reduce errors in reading RDTs, correctly classifying RDT images with 98.9% accuracy overall, compared to traditional interpretation of the tests by eye ...
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 ...
Methamphetamine dependence is a common comorbid condition among people living with HIV, and may exacerbate HIV-associated neurocognitive disorders. Animal models of neuroAIDS suggest that the gp120 ...
The team behind a new HIV vaccine is hoping that a combination of crowdfunding, venture capital, and an innovative new scientific approach will help it to a major breakthrough in fighting the virus.
Still Here is on a mission to re-center the voices and experiences of Black women who have been disproportionately impacted ...
“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 ...
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