The study had the following two primary objectives: first, to develop machine learning (ML) algorithms capable of determining brain age relative to chronological age and, second, to identify effective models and training procedures that can stratify APOE4 genotype and gender effects in assessing AD risk. Here, APOE is linked to Alzheimer disease.