Machine Learning Analysis Links Cellular Senescence and Cuproptosis to Sepsis Pathogenesis
A new machine learning-based model has identified 11 key genes that integrate cellular senescence and copper-dependent cell death pathways, offering novel diagnostic biomarkers and therapeutic targets for immune-metabolic dysregulation in sepsis.
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