AIMC Topic: Premature Birth

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Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.

Journal of medical Internet research Jul 9, 2025
BACKGROUND: Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neonatal death globally and the second leading cause of infant mortality in the United States. There is mounting evidence that COVID-19 infection during pr...
Pregnancy Trimesters Adult Social Media Pregnancy Complications, Infectious Humans COVID-19 Retrospective Studies Pregnancy Female Infant, Newborn Premature Birth SARS-CoV-2
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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.

PloS one Jun 27, 2025
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 a...
Humans Machine Learning Biomarkers Pregnancy Cohort Studies ROC Curve Pregnancy Trimester, Second Pregnancy Trimester, Third Female Premature Birth Adult
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Novel Technologies in Preterm Birth Prediction: Current Advances and Ethical Challenges.

Journal of mother and child May 24, 2025
Preterm birth (PTB) remains a significant challenge in modern obstetric practice, posing considerable risks to maternal and neonatal health. Despite advancements in medical technology, the incidence of PTB remains high, and its prediction continues t...
Humans Machine Learning Biomarkers Pregnancy Female Infant, Newborn Premature Birth
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Preterm birth trends and risk factors in a multi-ethnic Asian population: A retrospective study from 2017 to 2023, can we screen and predict this?

Annals of the Academy of Medicine, Singapore May 21, 2025
INTRODUCTION: Preterm birth (PTB) remains a leading cause of perinatal morbidity and mortality worldwide. Understanding Singapore's PTB trends and associated risk factors can inform effective strategies for screening and intervention. This study anal...
Maternal Age Asian People Ethnicity Gestational Age Female Infant, Newborn Premature Birth Risk Factors Adult Logistic Models Body Mass Index Singapore Humans Retrospective Studies Pregnancy
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The association between maternal exposure to ten neonicotinoid insecticides and preterm birth in Guangxi, China.

Environmental pollution (Barking, Essex : 1987) May 17, 2025
Preterm birth (PTB) is a primary cause of mortality among newborns globally. Prenatal exposure to environmental pollutants has been suggested to increase the PTB risk. Studies have shown NEOs may be linked to adverse birth outcomes. However, the impa...
Maternal Exposure Pregnancy Environmental Pollutants Female Insecticides Infant, Newborn Neonicotinoids Premature Birth Adult Male Case-Control Studies China Humans
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Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models.

PloS one Apr 2, 2025
Premature birth can be defined as birth before 37 weeks of gestation, which is a significant global health issue, being the main cause for neonatal deaths. In this work, we evaluate machine learning models for predicting premature birth using Brazili...
Humans Machine Learning Pregnancy Brazil Decision Trees Female Infant, Newborn Premature Birth Adult
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Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newborns.

Journal of hazardous materials Mar 26, 2025
Early-life exposure to endocrine-disrupting chemicals (EDCs) may contribute to small vulnerable newborns, including conditions such as being small for gestational age (SGA) and preterm birth (PTB), yet evidence remains limited. This study, which is b...
Humans Machine Learning Pregnancy Male Endocrine Disruptors Maternal Exposure Infant, Small for Gestational Age Female Infant, Newborn Premature Birth Adult
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Machine learning prediction of preterm birth in women under 35 using routine biomarkers in a retrospective cohort study.

Scientific reports Mar 25, 2025
Preterm birth (PTB), defined as delivery before 37 weeks, affects 15 million infants annually, accounting for 11% of live births and over 35% of neonatal deaths. While advanced maternal age (≥ 35 years) is a known risk factor, PTB risk in women under...
Humans Machine Learning Biomarkers Retrospective Studies Pregnancy Female Adult Logistic Models Maternal Age Infant, Newborn Premature Birth Risk Factors
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Predicting preterm birth using machine learning methods.

Scientific reports Feb 16, 2025
Preterm birth is a significant public health concern, given its correlation with neonatal mortality and morbidity. The aetiology of preterm birth is complex and multifactorial. The objective of this study was to develop and compare machine learning m...
Support Vector Machine Decision Trees Infant, Newborn Premature Birth Adult Logistic Models Humans Algorithms Pregnancy Machine Learning Female
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Predicting preterm birth using electronic medical records from multiple prenatal visits.

BMC pregnancy and childbirth Dec 21, 2024
This study aimed to predict preterm birth in nulliparous women using machine learning and easily accessible variables from prenatal visits. Elastic net regularized logistic regression models were developed and evaluated using 5-fold cross-validation ...
Cervical Length Measurement Young Adult Adult Predictive Value of Tests Sensitivity and Specificity Area Under Curve Ultrasonography, Prenatal Gestational Age Prenatal Care Risk Assessment Logistic Models Humans Pregnancy Machine Learning Female Electronic Health Records Infant, Newborn Premature Birth
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