Prediction of spontaneous preterm birth using supervised machine learning on metabolomic data: A case-cohort study

Yasmina Al Ghadban1, Yuheng Du2, D Stephen Charnock-Jones3,4,5

  • 1Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.

Summary

Maternal serum metabolites can predict spontaneous preterm birth (sPTB). A specific lysolipid, 1-palmitoleoyl-GPE, shows promise as a novel biomarker for both sPTB and spontaneous early term birth (sETB).

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