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

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 ...

Less testing means fewer diagnoses, which means reduced treatment of this chronic disease. The UK-based charity’s 'Not PrEPared' report uncovered that no local authority surveyed had more than five ...

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 ...