GCK and diabetes mellitus: This proof-of-concept study evaluates machine learning as a complement to clinical characterization and genetic testing, by optimizing binary classification models for explainable prediction of MODY subtypes, with a focus on GCK-MODY and HFN1A-MODY.<h4>Methods</h4>To meet this aim, we analyzed medical data from a diabetes cohort from Buenos Aires, Argentina.