Abstract
A cellular automata model is presented to describe the interaction between a growing tumor next to the presence of nutrient elements, and the immune response as well as the immunotherapy intervention and its stimulator effect on immune cell activity. A comparison between tumor growth before and after immunotherapy effect is discussed, and many characteristics of simulated tumor growth patterns are extracted such as the fractal dimension, the fractality of tumor boundary and the number of cancerous cells on tumor periphery. The simulation results shed light on the factor that may play a central role in immunotherapy effectiveness and which is related to tumor morphology.
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More From: International Journal of Applied and Computational Mathematics
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