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International Conference on Mathematical Biology and

Annual Meeting of The Society for Mathematical Biology,

July 27-30, 2009

University of British Columbia, Vancouver

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Program

Poster PS28A
Khairia El-Said El-Nadi
Faculty of Science Alexandria University Egypt
Title On some stochastic dynamical systems and cancer
Abstract Different models of tumor growth are considered. Some mathematical methods are developed to analyze the dynamics of mutations enabling cells in cancer patients to metastize. The mathematical models consist of some stochastic dynamical systems describing tumor cells and immune effectors. It is also considered a method to contrast the ideal outcomes of some treatments. The results of the considered model predict continuous under which some suitable treatment can be successful in returning an aggressive tumor to its passive, non-immune evading state. The principle goal of this paper is to find ways to treatment the cancer tumor before they can reach an advanced stage development. Keywords: Stochastic dynamical systems, tumor cells, treatment of cancer.
LocationWoodward Lobby (Monday-Tuesday)