Risk-Stratified Biologic Efficacy in Ulcerative Colitis: A Multicenter Machine Learning Study

Our random forest model enables precise risk stratification in UC, distinguishing patients with divergent responses to biologics. Low-risk patients derive significant benefit from timely biologics, while high-risk subgroups may require intensified strategies. This framework advances personalized UC management, though prospective validation is warranted.