Advancing Precision Oncology Using Data-Driven Machine Learning Approaches
Precision oncology is being transformed by the integration of advanced machine learning (ML) methods and extensive biomedical data from genomics, imaging, proteomics, and clinical records. ML techniques, including supervised, unsupervised, deep learning, and reinforcement learning, have progressed from experimental tools to robust systems that identify clinically actionable biomarkers, refine prog
