Machine learning-based prediction of preterm birth risk using methylation changes in neonatal cord blood CpG sites
Abstract Background Preterm birth, defined as delivery before 37 weeks of gestation, is a major cause of neonatal morbidity and mortality. DNA methylation changes at CpG sites have been associated with the risk of preterm birth. Objective This study aimed to identify differential CpG sites in cord b...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | BMC Pregnancy and Childbirth |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12884-025-07884-7 |
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