WASHINGTON—A stool-based test that combines three sources of biomarkers of colorectal cancer—mRNA, DNA and hemoglobin—using an artificial intelligence/machine learning–driven algorithm showed high sensitivity for advanced adenomas and other cancer precursors. The presentation detailing the findings drew considerable attention at DDW 2024 (abstract Su1117).
The primary advantage of the multimodal stool nucleic acid (mm-sNA) test (ColoAlert, Mainz Biomed) “is the