Abstract
In immunotherapy, scientists use drugs to enhance the host's own immune system and attenuate the suppression of the immune response by tumor cells. In this field, the research method of mathematical modeling can provide a way to quantitatively analyze and predict the effects of treatments for scientists. Starting with the model of tumor-immune interaction, this paper will then comprehensively review the application of mathematical models in predicting the effect of immunotherapy, analyze the optimal situation, and discuss feasible future research directions. Currently, mathematical models have been effective in classification and prediction. Scientists build the model to simulate the situation of humans biological systems and then validate it with real data, which makes it possible to predict the effect of various kinds of treatments. In the future, with the help of big data, models may play a role in the development of personalized treatment.
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