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Mathematical and Computational Modeling for Tumor Virotherapy with Mediated Immunity
Authors:Asim Timalsina  Jianjun Paul Tian  Jin Wang
Institution:1.Department of Mathematics and Statistics,Old Dominion University,Norfolk,USA;2.Department of Mathematical Sciences,New Mexico State University,Las Cruces,USA;3.Department of Mathematics,University of Tennessee at Chattanooga,Chattanooga,USA
Abstract:We propose a new mathematical modeling framework based on partial differential equations to study tumor virotherapy with mediated immunity. The model incorporates both innate and adaptive immune responses and represents the complex interaction among tumor cells, oncolytic viruses, and immune systems on a domain with a moving boundary. Using carefully designed computational methods, we conduct extensive numerical simulation to the model. The results allow us to examine tumor development under a wide range of settings and provide insight into several important aspects of the virotherapy, including the dependence of the efficacy on a few key parameters and the delay in the adaptive immunity. Our findings also suggest possible ways to improve the virotherapy for tumor treatment.
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