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

Author

Giannoukos, Georgios and Min, Mart

Subjects
*ARTIFICIAL neural networks, *T cells, *B cells, *CELL communication, *LINEAR statistical models, *MATHEMATICAL models
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. [ABSTRACT FROM AUTHOR]

Published
2015
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