Machine learning quantifies immuno-virological interactions: a TRIPOD+AI compliant prediction model for HIV-1 salvage therapy outcomes
Background The management of multidrug-resistant HIV-1 in patients experiencing virologic failure remains a critical clinical challenge. Traditional linear scoring systems often fail to adequately capture the complex evolutionary dynamics between the virus, host immunity, and antiretroviral regimens. This study aims to...