Modeling Cancer Evolution - A Data-Driven Agent-Based Modeling Approach in Melanoma

Explore a data-driven agent-based modeling approach to understand cancer evolution, specifically focusing on intratumor heterogeneity and drug resistance mechanisms in melanoma through this 17-minute conference talk. Discover how mathematical oncology principles can be applied to model the complex dynamics of cancer cell populations and their evolutionary responses to therapeutic interventions. Learn about the computational methodologies used to simulate cancer progression and the development of resistance patterns in melanoma patients. Gain insights into how agent-based models can capture the spatial and temporal aspects of tumor evolution, providing valuable perspectives for understanding treatment outcomes and potential therapeutic strategies.