CELLULAR NEURAL NETWORK MODELS OF GROWTH AND IMMUNE OF EFFECTOR CELLS RESPONSE TO CANCER

Yongmei Su () and Lequan Min ()
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Yongmei Su: School of Applied Science and School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
Lequan Min: School of Applied Science and School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China

International Journal of Modern Physics C (IJMPC), 2006, vol. 17, issue 02, 223-233

Abstract: 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 Allisonet 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 Allisonet al.

Keywords: Cellular neural network; cytotoxicity; mathematical modelling; cancer immunity (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S0129183106008790

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