In contrast, our integrative transcriptomics and machine learning approach has identified more specific and robust biomarkers, as demonstrated by the superior diagnostic accuracy of BMX, GRB10, and GADD45A. These biomarkers not only exhibit greater specificity but also provide valuable insights into the immune and metabolic dynamics of sepsis, potentially enhancing their applicability across different disease stages. This evidence concerns the gene GADD45A and Sepsis.