Stability Analysis of a Targeted Chemotherapy-Cancer Delayed Model

In this paper, we investigate the dynamic behaviour of a mathematical model of cancer that includes immune cells, tumor cells, and normal cells, and explore the effects of the introduction of a delayed term of targeted therapy on the model. This model was first proposed by Anusmita Das et al., numerous studies have attempted to model the interaction between tumours and the immune system using deterministic delay differential equations (DDEs) so a delay term was added, in this paper, on the basis to make the model more realistic. Also, the local and global stability of the equilibrium point of the model is analyzed by linearization and Lyapunov method, and the numerical simulation of MATLAB is used to verify the analysis results.

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Publication Details

Journal
American Journal of Computational Mathematics
Published
2025-01-01
DOI
https://doi.org/10.4236/ajcm.2025.152006
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Stability Analysis of a Targeted Chemotherapy-Cancer Delayed Model

Asmaa Ali Alharbi, H. A. Batarfi, Zahra Mousa Albariqi, Lama Shujaa Aljoufi et al.
American Journal of Computational Mathematics
Mathematical Biology Tumor Growth
article

Stability Analysis of a Targeted Chemotherapy-Cancer Delayed Model

Asmaa Ali Alharbi, H. A. Batarfi, Zahra Mousa Albariqi, Lama Shujaa Aljoufi, Rawan Ali Aldosary
article en

Abstract

In this paper, we investigate the dynamic behaviour of a mathematical model of cancer that includes immune cells, tumor cells, and normal cells, and explore the effects of the introduction of a delayed term of targeted therapy on the model. This model was first proposed by Anusmita Das et al., numerous studies have attempted to model the interaction between tumours and the immune system using deterministic delay differential equations (DDEs) so a delay term was added, in this paper, on the basis to make the model more realistic. Also, the local and global stability of the equilibrium point of the model is analyzed by linearization and Lyapunov method, and the numerical simulation of MATLAB is used to verify the analysis results.

American Journal of Computational MathematicsVol. 15(02)
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Mathematical Biology Tumor Growth
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