Cancer Management and Research

Artificial Intelligence and Multi-Omics in Precision Oncology: From Biomarker Discovery to Translational Therapeutics

Recent advances in artificial intelligence (AI), single-cell and spatial omics, digital pathology, radiomics, and computational biology are transforming the landscape of precision oncology. These technologies have enabled unprecedented opportunities for deciphering tumor heterogeneity, identifying clinically relevant biomarkers, predicting therapeutic responses, and discovering novel targets for personalized treatment. Despite remarkable progress, major challenges remain in translating multi-omics data and AI-based algorithms into clinically actionable strategies. There is an increasing need to bridge molecular mechanisms with patient-centered applications and to integrate computational innovations with translational and clinical oncology.