Computational modeling helps simulate cancer progression and treatment responses. Models like agent-based models, differential equation models, and stochastic models can predict how tumors grow and respond to different therapies. These models provide insights into tumor-immune interactions, drug resistance mechanisms, and optimal treatment strategies.