Mathematical modelling of the interleukin-2 T-cell system: A comparative study of approaches based on ordinary and delay differential equations.
Baker, C.T.H., Bocharov, G.A., Paul, C.A.H. (1997)
Journal of Theoretical Medicine
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Baker, C.T.H., Bocharov, G.A., Paul, C.A.H. (1997)
Journal of Theoretical Medicine
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Panetta, John Carl (1998)
Journal of Theoretical Medicine
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Arlotti, Luisa, Gamba, Andrea, Lachowicz, Miroslaw (2002)
Journal of Theoretical Medicine
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Zuzanna Szymańska (2003)
International Journal of Applied Mathematics and Computer Science
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A basic mathematical model of the immune response when cancer cells are recognized is proposed. The model consists of six ordinary differential equations. It is extended by taking into account two types of immunotherapy: active immunotherapy and adoptive immunotherapy. An analysis of the corresponding models is made to answer the question which of the presented methods of immunotherapy is better. The analysis is completed by numerical simulations which show that the method of adoptive...
Magda Galach (2003)
International Journal of Applied Mathematics and Computer Science
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The model analyzed in this paper is based on the model set forth by V.A. Kuznetsov and M.A. Taylor, which describes a competition between the tumor and immune cells. Kuznetsov and Taylor assumed that tumor-immune interactions can be described by a Michaelis-Menten function. In the present paper a simplified version of the Kuznetsov-Taylor model (where immune reactions are described by a bilinear term) is studied. On the other hand, the effect of time delay is taken into account in order...
E. Beretta, V. Capasso, N. Morozova (2012)
Mathematical Modelling of Natural Phenomena
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Recent discovery of cancer stem cells in tumorigenic tissues has raised many questions about their nature, origin, function and their behavior in cell culture. Most of current experiments reporting a dynamics of cancer stem cell populations in culture show the eventual stability of the percentages of these cell populations in the whole population of cancer cells, independently of the starting conditions. In this paper we propose a mathematical...
Mahiéddine Kouche, Bedr'eddine Ainseba (2010)
International Journal of Applied Mathematics and Computer Science
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In this paper we derive a model describing the dynamics of HIV-1 infection in tissue culture where the infection spreads directly from infected cells to healthy cells trough cell-to-cell contact. We assume that the infection rate between healthy and infected cells is a saturating function of cell concentration. Our analysis shows that if the basic reproduction number does not exceed unity then infected cells are cleared and the disease dies out. Otherwise, the infection is persistent...
Marek Bodnar, Urszula Foryś, Zuzanna Szymańska (2009)
Applicationes Mathematicae
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We present and compare two simple models of immune system and cancer cell interactions. The first model reflects simple cancer disease progression and serves as our "control" case. The second describes the progression of a cancer disease in the case of a patient infected with the HIV-1 virus.
Mikhail Kolev (2003)
International Journal of Applied Mathematics and Computer Science
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In this paper we propose and analyse a model of the competition between cancer and the acquired immune system. The model is a system of integro-differential bilinear equations. The role of the humoral response is analyzed. The simulations are related to the immunotherapy of tumors with antibodies.