Researchers from Shandong University and South China University of Technology have developed E2E, an effective and comprehensive R package to simplify the construction of ensemble models for diagnosis and prognosis. The package integrates bagging, stacking, and voting strategies, offering flexible model selection and improved handling of imbalanced data. Validated on TCGA and CHARLS datasets, E2E demonstrates strong performance in both diagnosis and prognosis tasks.