Integrated Multi-Omics Analysis Reveals the Role of Digital Twin Technology in Precision Oncology: A Prospective Cohort Study

• Digital twin models integrating multi-omics data achieve high accuracy (AUC=0.89) in predicting treatment responses in cancer patients. • Multi-omics integration improves prognostic accuracy by 23% compared to single-omics approaches. • Novel biomarkers for early cancer detection were identified through digital twin analysis. • The study demonstrates the clinical feasibility of digital twin technology in precision oncology, paving the way for personalized treatment strategies.