Computational models use mathematical and computational techniques to simulate cancer behavior and treatment responses. These models can integrate vast amounts of data to predict tumor growth, drug efficacy, and potential resistance mechanisms. They are particularly useful for analyzing complex biological systems and optimizing treatment strategies in silico before moving to in vitro or in vivo studies.
