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Explore the dynamic nature of tumor microenvironments through this 17-minute conference talk that examines how constant changes within these complex biological systems impact cancer progression and treatment outcomes. Delve into the mathematical modeling approaches used to understand the evolving interactions between cancer cells, immune cells, blood vessels, and other components that make up the tumor ecosystem. Learn how computational oncology methods can capture the temporal and spatial heterogeneity of tumors, providing insights into why cancer treatments may succeed or fail over time. Discover the challenges researchers face when trying to predict tumor behavior in an environment that is perpetually in flux, and understand how mathematical frameworks can help decode the underlying patterns of change that drive cancer evolution and therapeutic resistance.
