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A Cardiorespiratory Digital Twin can ingest wearable data (heart-rate variability, sleep architecture, training load), biomarker data (inflammatory markers, MOTS-c levels, collagen-turnover markers), and genomic data (connective-tissue gene variants, mitochondrial DNA haplogroup) to create a continuously updated model of an individual athletes physiological state
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