From machine learning to causal insight: a robust 12-gene signature to distinguish sepsis risk from systemic inflammatory response syndrome

This study identifies and validates a highly accurate 12-gene signature for distinguishing sepsis from SIRS. The causal evidence for EIF4G3 and robust validation of DNAJC5 underscore their potential as biomarkers for early diagnosis and differentiation from SIRS. This signature holds significant promise for the early identification of high-risk patients, enabling timely intervention and improving outcomes.