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Vestnik Yuzhno-Ural'skogo Universiteta. Seriya Matematicheskoe Modelirovanie i Programmirovanie, 2016, Volume 9, Issue 2, Pages 103–109
DOI: https://doi.org/10.14529/mmp160209
(Mi vyuru318)
 

Short Notes

Numerical modelling of the reaction of the immune system to the tumor based on the revised model of Resigno and De Lisi

N. I. Eremeeva

Dimitrovgrad Engineering and Technological Institute - Branch of the National Research Nuclear University MEPhI, Dimitrovgrad, Russian Federation
References:
Abstract: The article is devoted to the modelling of the immune response for the presence of cancer at initial stage. At this stage the key role in the development of disease is given to the immune system. It is the immunological insufficiency that is a major cause of high incidence of malignant neoplasms. The article describes the mathematical model of the immune response to the tumor. The presented model is based on the mathematical model of Resigno and De Lisi. In the created model, unlike the classical one, we take into account the fact that the presence of cancer overwhelmingly affects the immune system, and assumes the possibility of introducing of outside lymphocytes for immune response stimulation. This article provides an example of numerical prediction of tumor development, based on the constructed model. In addition the paper describes an algorithm for determining of the optimal level of input lymphocytes. The algorithm is based on the analysis of singular points of the system and numerical simulation.
Keywords: mathematical model; immune response; tumor.
Received: 02.02.2016
Bibliographic databases:
Document Type: Article
UDC: 612.017.1+001.891.572
MSC: 93A30
Language: Russian
Citation: N. I. Eremeeva, “Numerical modelling of the reaction of the immune system to the tumor based on the revised model of Resigno and De Lisi”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 9:2 (2016), 103–109
Citation in format AMSBIB
\Bibitem{Ere16}
\by N.~I.~Eremeeva
\paper Numerical modelling of the reaction of the immune system to the tumor based on the revised model of Resigno and De Lisi
\jour Vestnik YuUrGU. Ser. Mat. Model. Progr.
\yr 2016
\vol 9
\issue 2
\pages 103--109
\mathnet{http://mi.mathnet.ru/vyuru318}
\crossref{https://doi.org/10.14529/mmp160209}
\elib{https://elibrary.ru/item.asp?id=26224827}
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