Article

Machine Learning-Driven Early Prediction of Spontaneous Preterm Birth Subtypes from Second-Trimester Plasma Metabolomic

2025-04-30

Abstract excerpt

<h4>Objective: </h4> To identify predictive second-trimester plasma biomarkers for spontaneous preterm birth (sPTB), including preterm premature rupture of membranes (pPROM) and spontaneous preterm labor (sPL). <h4>Design: </h4> Case-control study employing non-targeted metabolomics and machine learning. <h4>Setting: </h4> Single-center study analyzing archived maternal plasma samples. at Tianjin Central Hospita...

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Literature Corpus work: ed9d9433-bef9-54ff-ae70-422b9b25fbed
DOI: 10.22541/au.174598943.35864315/v1

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