Case-based CPD module exploring key issues in the prevention and management of patients with or at risk of HIV in primary ...

In the early years of the HIV/AIDS epidemic, fear and paranoia reigned. The virus, which was first reported in the U.S. in 1981, ravaged vulnerable communities, and health care workers caring for ...

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 ...