An unsupervised clustering framework on athlete biomarkers identifies coherent profiles distinguishing mechanical damage from metabolic stress while preserving homeostatic states.
Blood-based biomarkers for man- aging workload in athletes: Considerations and recommendations for evidence-based use of established biomarkers
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An unsupervised decision-support framework for multivariate biomarker analysis in athlete monitoring
An unsupervised clustering framework on athlete biomarkers identifies coherent profiles distinguishing mechanical damage from metabolic stress while preserving homeostatic states.