Optimal Control of Tumor Growth Model with Dendritic Cells as Immunotherapy

In this paper, optimal control of tumor growth model with dendritic cells as immunotherapy is provided. The model equation can be expressed into a nonlinear differential equation system consisting of four compartments namely, tumor cells, CTL cells, helper T cells, and dendritic cells. Dendritic cel...

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Bibliographic Details
Main Authors: Firmansyah Reskal Motulo, Trisilowati Trisilowati, Abdul Rouf
Format: Article
Language:English
Published: University of Brawijaya 2018-06-01
Series:Journal of Experimental Life Science
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Online Access:https://jels.ub.ac.id/index.php/jels/article/view/265
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Summary:In this paper, optimal control of tumor growth model with dendritic cells as immunotherapy is provided. The model equation can be expressed into a nonlinear differential equation system consisting of four compartments namely, tumor cells, CTL cells, helper T cells, and dendritic cells. Dendritic cells as immunotherapy are injected to the body at time t. The aim of this optimal control is to minimize the tumor cells density as well as the cost of dendritic cells to be administered to the body.Optimal control problem is carried out based on Pontryagin's maximum principle and numerical simulation is solved by using Forward-Backward Sweep methods. Simulation results show that control strategy shrinks tumor cells density which is shown by tumor cells density graph that monotonically decreases after applying dendritic cells as immunotherapy.
ISSN:2087-2852
2338-1655