In this study, we aimed to establish (for CXCR4) and evaluate (for FAP) a workflow demonstrating the utility and applicability of ML in the field of theranostics—by predicting ligand-related tumor microenvironments for other potential target structures. This evidence concerns the gene CXCR4 and neoplasm.