The Gender Assessment Tool for National HIV Responses (Gender Assessment Tool) is intended to assist countries in assessing their HIV epidemic, context and response through an intersectional gender ...

Heart health is no longer just a concern for the elderly or even young adults. A new set of guidelines recommends cholesterol screening to begin for children in the nine-to-11 age group. It also ...

Credit: Getty Images Educating patients on the three types of HIV tests, how they differ from one another, and which may be best for them. While we have made significant progress fighting human ...

Cognitive aging in virally suppressed HIV parallels those without HIV, while detectable viral load is linked to steeper cognitive decline.

Yale New Haven Children’s Hospital developed a testing protocol with specific clinical indications for testing and clear informed consent expectations.

Chronic hepatitis D coinfection affects an estimated 12 million people globally, with higher prevalence in low-income and middle-income countries, especially the African and Western Pacific regions.

Chronic hepatitis D virus (HDV) coinfection in people with chronic hepatitis B is associated with rapid progression to liver cirrhosis and high mortality. In 2020, the estimated global HDV burden ...

This case has exposed systemic weaknesses in Uganda’s medical laboratory sector, raising concerns about test accuracy, competence, and ethics. Medical laboratory tests are central to diagnosing ...

Frimpong’s invited commentary discusses the significance of a major efficacy trial involving the game Tumaini and what it signals about the future of HIV prevention for young people.

Bonnie Blue's pregnancy claims after a 400-man stunt spark concern as doctors warn of STI risks for a baby, while questions ...

In the meantime the woman has been transported to Gandhi Hospital where more medical tests and treatment are done as the investigation goes on.

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...