Role of Inflammatory Markers and Doppler Parameters in Late-Onset Fetal Growth Restriction: A Machine Learning Approach

Fetal growth restriction (FGR) is a serious complication in pregnancy that can lead to various adverse outcomes. It's classified into early-onset (before 32 weeks) and late-onset (after 32 weeks), with late-onset associated with long-term risks like hypoxemia and developmental delays. The study focuses on the role of inflammation in FGR, introducing new blood markers for better understanding and diagnosis. It also addresses the challenges of using advanced diagnostic tools in low-resource settings and explores the use of machine learning to predict FGR based on inflammatory markers, highlighting the potential of artificial intelligence in overcoming these challenges.

NCT Number	NCT06372938
Lead Sponsor	Ankara Etlik City Hospital
Conditions	Fetal Growth Restriction, Inflammatory Response
Enrollment	240 participants
Start Date	2024-01-31
Primary Completion	2024-07-06 (estimated)
Study Completion	2024-07-20 (estimated)
Updated on ClinicalTrials.gov	2024-07-08