This study demonstrates that a machine learning integration of routine clinical and biofluid data achieves biologically meaningful ALS/FTD classification, challenging single-marker paradigms and supporting emerging multimodal diagnostic frameworks for TDP-43-associated phenotypes. This evidence concerns the gene TARDBP and amyotrophic lateral sclerosis.