In this study, we used a machine learning model with input features, including fibronectin and a new potential sepsis biomarker, in conjunction with routinely measured vital indices, to predict the survival of patients diagnosed with sepsis on admission to the ICU. The gene discussed is FN1; the disease is Sepsis.