Innovative AI-integrated multi-omics approaches are significantly improving disease risk prediction and personalized therapy. A novel AI model combining diverse omics datasets achieved almost 90% accuracy in preterm birth prediction, offering enhanced prenatal care. Furthermore, immune signatures have been identified that predict gastric cancer patients' response to immunotherapy and chemotherapy, facilitating individualized treatment strategies. These advancements reflect the growing convergence of computational methods and molecular biology in clinical applications.