Exploratory Integration of Metabolomics and Machine Learning Identifies Candidate Signatures of Spontaneous Preterm Birth

Background/Objectives: Spontaneous preterm birth (sPTB) remains a major cause of neonatal morbidity and mortality. This study aimed to characterize first-trimester plasma metabolic alterations associated with sPTB and evaluate their discriminatory potential using metabolomics and machine learning.