Pioneering technology developed by UCL (University College London) and Africa Health Research Institute (AHRI) researchers could transform the ability to accurately interpret HIV test results, ...

“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 ...

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 ...

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 ...

Separate machine learning models were able to effectively predict both the length of hospital stay and the risk of prolonged hospitalization in people living with HIV. The length of stay in a hospital ...

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 ...