Integration of Artificial Intelligence and Omics Technologies for Precision Oncology
บทคัดย่อ
This comprehensive review examines the integration of artificial intelligence (AI) and cancer treatment from an omics perspective. As cancer incidence and mortality rates continue to rise globally, understanding tumor heterogeneity and molecular subtypes has become essential for effective therapy. The review highlights the role of AI in analyzing omics data, including genomics, proteomics, transcriptomics, epigenomics, and metabolomics. AI-driven precision oncology significantly enhances diagnostics, treatment selection, and prognosis prediction by identifying complex patterns and correlations within large-scale datasets. By combining AI with various omics approaches, researchers are uncovering new insights into cancer biology, enabling more personalized therapeutic interventions. Additionally, the review explores the future potential of AI in oncology, focusing on the possibilities for improved patient outcomes and groundbreaking discoveries in cancer research.
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