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Explore how mathematical modeling can enhance the design and implementation of evolutionary cancer therapy clinical trials in this comprehensive plenary lecture. Discover the intersection of mathematical oncology and clinical research as you learn about computational approaches that inform treatment strategies based on evolutionary principles. Examine specific mathematical frameworks used to predict tumor evolution, resistance development, and treatment outcomes in cancer patients. Understand how these models can optimize trial design, patient selection, and dosing strategies for evolutionary therapies that work with natural selection rather than against it. Gain insights into the practical applications of mathematical tools in translating evolutionary cancer therapy concepts from theoretical research into real-world clinical settings.
