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 ...

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 ...

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 ...

A groundbreaking discovery reveals how HIV integrates its genetic material into human DNA, exposing a key viral vulnerability that could lead to new therapies and bring the world closer to a ...

Failure to adhere to HIV treatment is costing lives The Ndovu Study is strengthening HIV treatment by redefining how treatment failure and drug resistance are detected, managed, and prevented across ...