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Cellular neural network models of growth and immune of effector cells response to cancer

机译:细胞神经网络模型的生长和效应细胞对癌症的反应免疫

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Four reaction-diffusion cellular neural network (R-D CNN) models are set up based on the differential equation models for the growths of effector cells and cancer cells, and the model of the immune response to cancer proposed by Allison et al. The CNN models have different reaction-diffusion coefficients and coupling parameters. The R-D CNN models may provide possible quantitative interpretations, and are good in agreement with the in vitro experiment data reported by Allison et al.
机译:基于效应细胞和癌细胞生长的微分方程模型,以及Allison等人提出的针对癌症的免疫反应模型,建立了四个反应扩散细胞神经网络(R-D CNN)模型。 CNN模型具有不同的反应扩散系数和耦合参数。 R-D CNN模型可以提供可能的定量解释,并且与Allison等人报道的体外实验数据一致。

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