Multiomics Models Show High Discrimination For Stroke

A systematic review (PROSPERO-registered) evaluated machine learning models using multiomics data for stroke risk stratification, identifying seven studies (n=40,274) published 2022–2025. Studies combined two omics layers and reported AUCs between 0.75 and 0.97, yet external validation and calibration were limited. Authors urge leakage-resistant evaluation, site-specific external validation, and benchmarking against single-omics and clinical baselines to improve reproducibility.