Personalized Medicine in Maternal–Fetal Care: From Cervical Insufficiency to Preterm Birth and Beyond
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Medical Care".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 6
Special Issue Editor
Interests: obstetrics; maternal–fetal medicine; high risk pregnancies; cervical insufficiency; preterm birth; double-level cerclage; emergent cerclage; second cerclage
Special Issue Information
Dear Colleagues,
Cervical insufficiency and preterm birth remain leading causes of perinatal morbidity and mortality worldwide. Despite decades of research, individual risk prediction and intervention timing are still challenging.
The concept of mechanical support through cerclage has evolved since the 1950s—from the classic McDonald and Shirodkar techniques to modern double-level and emergent procedures—reflecting our growing understanding of the cervix as a dynamic biological structure.
Recent advances in quantitative elastography, cervical tissue molecular profiling, and AI-based prediction platforms are redefining our ability to model cervical remodeling and preterm birth risk at an individualized level. Integration of multimodal biomarkers—including mechanical, biochemical, and computational parameters—offers unprecedented opportunities for precision diagnostics and preventive interventions in maternal–fetal medicine.
This Special Issue aims to highlight advances in personalized approaches to maternal–fetal care, integrating mechanical, biochemical, and digital parameters for early diagnosis and tailored therapy.
We invite original research articles, reviews, and other types focusing on risk modeling, infection control, cerclage innovation, and multidisciplinary approaches that advance personalized maternal–fetal medicine.
Dr. Moon-il Park
Guest Editor
Manuscript Submission Information
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Keywords
- cervical insufficiency
- preterm birth
- personalized medicine
- emergent cerclage
- infection-controlled cerclage
- maternal–fetal medicine
- AI-based prediction platforms
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