Generally speaking, the presented ML pipeline could be deployed for other classification tasks (e.g., classification of EGFR or ALK mutation instead of KRAS, or tumor phenotyping as originally envisioned for radiomics [49]), and besides radiomic features, any tabular dataset could be used or added. Here, KRAS is linked to neoplasm.