We combined the 22,771 DML associated with AHI from monocytes and CD4+ T lymphocytes with clinical features (pre-ART CD4, CD8 T cell count, CD4/CD8 T cell ratio, viral load, and estimated days of infection) and utilized both a logistic regression with interaction features and gradient boosting machine learning method with a five-fold cross validation with five repeated trials (a total of 25 validation trials) to identify pre-ART AHI-related and/or host epigenetic features that predicted a favorable clinical phenotype at week 96. This evidence concerns the gene CD8A and infection.