A novel hardware-efficient asynchronous cellular automaton model of tumor immunotherapy and its FPGA implementation

A novel tumor immunotherapy model based on the nonlinear dynamics of an asynchronous cellular automaton is presented. It is shown that the presented model can reproduce basic bifurcation structure of a differential equation tumor immunotherapy model qualitatively. In addition, the presented model is implemented on a field programmable gate array and experiments validate occurrence of the basic bifurcation. It is also shown that the presented model can be implemented using fewer hardware resources and lower power than the differential equation model.