Frontiers in Pharmacology
Digital twin technology for HIV patient virtual modeling: a novel approach to treatment optimization
Background Human immunodeficiency virus (HIV) infection remains a global health challenge, necessitating personalized treatment strategies to optimize patient outcomes. Digital twin technology—synchronized with real-world entities—offers a pathway to precision medicine in HIV care. Methods We analyzed 5,436 HIV patients (2016–2024) with demographic, immunologic, and antiretroviral therapy (ART) information. Core algorithms comprised gradient boosting and random forest ensembles; deep architectures (LSTM and Transfo …