The main objectives of this review are to explore how knowledge-informed machine learning enhances cancer diagnosis and prognosis. It focuses on integrating medical domain knowledge with ML models to improve accuracy and clinical relevance.The study also highlights current challenges and future directions in applying ML in oncology



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