Researchers are using computational modeling to better understand how immunotherapy works and how to predict its effectiveness. Studies are employing various approaches, including microfluidic chips, mechanistic modeling, and machine learning, to decode the complex interactions between cancer cells and the immune system. The goal of this research is to gain insights into the factors that influence immunotherapy response and to develop more effective treatments.