A clinical decision support framework for automated M-protein isotype classification from capillary zone electrophoresis immunotyping signals.
This study presents the first ML-based CDS framework for M-protein isotype classification from CZE-IT signals, demonstrating that uncertainty-aware design can identify 62% of samples as eligible for automation-assisted verification while routing lower-confidence cases to expert review through confidence-based triaging...