Application of artificial neural networks to model the interaction between T-cells and B-cells and their equivalent impedance of the linearized model

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Article type: Research Article

Authors: Giannoukos, Georgios^* | Min, Mart

Affiliations: Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Tallinn, Estonia

Correspondence: [*] Corresponding author: Georgios Giannoukos, Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology, Tallinn 19086, Estonia. E-mail:g.giannoukos@gmail.com

Abstract: In this paper a detailed mathematical and physical model is presented in order to simulate the immune system using neural networks and non-linear circuits. This model allows us to understand the interaction between T-cells and B-cells which are produced in bone marrow and mature in thymus. The alterations of the biompedance of the immune system and the changes in the interaction between cells create immune diseases.

Keywords: Biompedance, immune system, thymus, bone marrow, non-linear circuit, T-cell, B-cell, computer algebra, neural network

DOI: 10.3233/JCM-150544

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 15, no. 2, pp. 295-302, 2015