Keywords:
Machine learning; Neonatal sepsis; Ontogeny; Predictive biomarkers; Transcriptomics
Abstract:
Neonatal sepsis is a deadly disease with non-specific clinical signs, delaying diagnosis and treatment. There remains a need for early biomarkers to facilitate timely intervention. Our objective was to identify neonatal sepsis gene expression biomarkers that could predict sepsis at birth, prior to clinical presentation.