Publication Details
Abstract
Preterm birth continues to be one of the roughest problems in obstetrics with determining effects on maternal and neonatal health. This thesis is based on the labeling and forecasting of preterm labor risk in mothers and fetal interventions, to enhance early detection and intervention of preterm labor. Multiple determinants, including maternal background, age, history of delivery of preterm and other pregnancy outcomes, lifestyle choices, as well as others, play a role in increased risk of preterm birth. This research explores traditional clinical indicators and emerging technologies such as genetic screening, biomarkers, and advanced imaging to develop more accurate prediction models. Using the interaction of these risk factors, the study aims to offer a more holistic way to estimate the risk of preterm birth. In this study, research aims to improve clinical outcomes by developing earlier detection of high-risk pregnancies and offering customized care plans that decrease complications and improve maternal and neonatal health.