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Evidence from cohort studies, clinical trials, and high-sensitivity assays demonstrates that biomarkers reflecting myocardial injury, hemodynamic stress, inflammation, fibrosis, and metabolic dysfunction can inform prevention, early detection, acute care, and chronic monitoring. Key implementation strategies include multi-biomarker panels, serial measurements, multi-omics integration, and artificial intelligence-based risk modeling. Challenges such as assay standardization, clinical interpretation, and cost-effectiveness are critically evaluated. 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