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This coursework explores the HemoGuard System for improving chemotherapy-induced hematologic toxicity predictions. It highlights challenges in current practices, emphasizing the need for explainable AI solutions. Goals include risk prediction, AI integration for clinical insights, and user-friendly interfaces. The methodology focuses on structured datasets, model development, and Gen-AI explanations, while leveraging Python, ML tools, and scalable web frameworks. Expected outcomes encompass...