Optimal Control of a Tumor-Immune System with a Modified Stepanova Cancer Model

被引:0
|
作者
Dassow, Maria [1 ]
Djouadi, Seddik [1 ]
Moussa, Kaouther [2 ]
机构
[1] Univ Tennessee, Knoxville, TN 37996 USA
[2] Univ Grenoble Alpes, CNRS, Grenoble INP, GIPSA Lab, F-38000 Grenoble, France
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 15期
关键词
cancer; chemotherapy; immunotherapy; drug delivery; biological systems; optimization; Pontryagin's Maximum Principle; CHEMOTHERAPY;
D O I
10.1016/j.ifacol.2021.10.260
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we investigate strategies for administering chemo- and immunotherapy to force a tumor-immune system to its healthy equilibrium. To solve this problem, we use Pontryagin's Maximum Principle applied to a modified Stepanova model. This model directly accounts for the detrimental effects of chemotherapy on immune cell density. Because the parameter for this interaction is unknown, we run simulations while varying the parameter to observe the effect on the system. Our results show that combined dosages of chemo- and immunotherapy over the first days of the treatment period are sufficient to force the system to its healthy equilibrium. Copyright (C) 2021 The Authors.
引用
收藏
页码:227 / 232
页数:6
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