Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation

Cancer chemotherapy has been the most common cancer treatment. However, it has side effects that kill both tumor cells and immune cells, which can ravage the patient’s immune system. Chemotherapy should be administered depending on the patient’s immunity as well as the level of cancer cells. Thus, w...

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Main Authors: Yong Dam Jeong, Kwang Su Kim, Yunil Roh, Sooyoun Choi, Shingo Iwami, Il Hyo Jung
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2022/2158052
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author Yong Dam Jeong
Kwang Su Kim
Yunil Roh
Sooyoun Choi
Shingo Iwami
Il Hyo Jung
author_facet Yong Dam Jeong
Kwang Su Kim
Yunil Roh
Sooyoun Choi
Shingo Iwami
Il Hyo Jung
author_sort Yong Dam Jeong
collection DOAJ
description Cancer chemotherapy has been the most common cancer treatment. However, it has side effects that kill both tumor cells and immune cells, which can ravage the patient’s immune system. Chemotherapy should be administered depending on the patient’s immunity as well as the level of cancer cells. Thus, we need to design an efficient treatment protocol. In this work, we study a feedback control problem of tumor-immune system to design an optimal chemotherapy strategy. For this, we first propose a mathematical model of tumor-immune interactions and conduct stability analysis of two equilibria. Next, the feedback control is found by solving the Hamilton–Jacobi–Bellman (HJB) equation. Here, we use an upwind finite-difference method for a numerical approximate solution of the HJB equation. Numerical simulations show that the feedback control can help determine the treatment protocol of chemotherapy for tumor and immune cells depending on the side effects.
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institution Kabale University
issn 1099-0526
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-4696155be93d4ae0abd1fb33fbaef3972025-02-03T01:22:56ZengWileyComplexity1099-05262022-01-01202210.1155/2022/2158052Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman EquationYong Dam Jeong0Kwang Su Kim1Yunil Roh2Sooyoun Choi3Shingo Iwami4Il Hyo Jung5Department of MathematicsInterdisciplinary Biology Laboratory (iBLab)Department of MathematicsDepartment of MathematicsInterdisciplinary Biology Laboratory (iBLab)Department of MathematicsCancer chemotherapy has been the most common cancer treatment. However, it has side effects that kill both tumor cells and immune cells, which can ravage the patient’s immune system. Chemotherapy should be administered depending on the patient’s immunity as well as the level of cancer cells. Thus, we need to design an efficient treatment protocol. In this work, we study a feedback control problem of tumor-immune system to design an optimal chemotherapy strategy. For this, we first propose a mathematical model of tumor-immune interactions and conduct stability analysis of two equilibria. Next, the feedback control is found by solving the Hamilton–Jacobi–Bellman (HJB) equation. Here, we use an upwind finite-difference method for a numerical approximate solution of the HJB equation. Numerical simulations show that the feedback control can help determine the treatment protocol of chemotherapy for tumor and immune cells depending on the side effects.http://dx.doi.org/10.1155/2022/2158052
spellingShingle Yong Dam Jeong
Kwang Su Kim
Yunil Roh
Sooyoun Choi
Shingo Iwami
Il Hyo Jung
Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
Complexity
title Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
title_full Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
title_fullStr Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
title_full_unstemmed Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
title_short Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation
title_sort optimal feedback control of cancer chemotherapy using hamilton jacobi bellman equation
url http://dx.doi.org/10.1155/2022/2158052
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