Researchers have developed a cutting-edge artificial intelligence model integrating multi-omics data to predict preterm birth with nearly 90% accuracy. This significant breakthrough in maternal-fetal medicine enables early risk assessment, potentially transforming prenatal care through personalized interventions. The model leverages comprehensive genomics, proteomics, and metabolomics datasets, representing a landmark in predictive health analytics for preterm labor prevention.