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AI and Machine Learning in Cancer Treatment
This chapter explores the transformative role of machine learning and AI in cancer diagnosis and treatment, particularly in radiology and optimizing therapy strategies. It discusses the balance between model interpretability and prediction accuracy, as well as the use of mathematical modeling to tackle drug resistance in cancers like glioblastoma. The conversation highlights both the advancements and emotional challenges faced by patients dealing with aggressive cancers, emphasizing ongoing research aimed at improving future treatment outcomes.