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Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A Cautionary Tale

2024-09-12

Abstract excerpt

Spontaneous preterm birth (sPTB) remains a significant global health challenge and a leading cause of neonatal mortality and morbidity. Despite advancements in neonatal care, the prediction of sPTB remains elusive, in part due to complex etiologies and heterogeneous patient populations. This study aimed to validate and extend information on gene expression biomarkers previously described for predicting sPTB using...

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Literature Corpus work
202e5972-9d06-5df5-97c0-88c0541e6bfa
DOI
10.1101/2024.09.11.24313497
Open publication

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Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A Cautionary TaleDOI 10.1101/2024.09.11.24313497
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