CD4 and tuberculosis: A recent study by Seboka et al [16] further emphasized the effectiveness of the XGBoost classifier in predicting viral suppression, identifying critical predictors such as regimen change, adherence level, CD4 lymphocyte count, duration on ART, and tuberculosis status.