Mathematical models are increasingly being used to understand the non-linear dynamics of cancer. These models can simulate the complex interactions between cancer cells, genetic mutations, and the microenvironment, providing insights into potential outcomes and treatment responses. By incorporating data from laboratory experiments and clinical studies, these models can help predict how tumors will evolve and how they might respond to different therapies.
