Modeling the Effect of Chemotherapy on Melanoma B16F10 in Mice using Cellular Automata and Genetic Algorithm in Tapered Dosage of FBS and Cisplatin

Plans for all types of therapies for cancer need to be updated according to new achievements in science and technology. Building models of in vitro cancer cell growth, may make a predictive view for physicians about the behavior of these cells in the real world. In this study using experimental data which acquired from cultured cells and taking photos using a digital microscope lens, we designed a cellular automata model of death and growth of melanoma cancer cells in the presence of different concentration of FBS and different dose of Cisplatin as a chemotherapy drug. As we say this model is based on cellular automata although we used a genetic algorithm for this model which this combined model casts a dynamic in model and made that adoptive based on the alternation of the environment. In the end, we achieved to 75% prediction accuracy about the behavior of these cells. The proposed model showed approximately good results to predict tumor growth in the presence of different dosages of chemotherapy drug and it can make a perspective of tumor growth for us.