Modeling and Simulation of Tumor Growth with Stability Analysis

In this work, tumor development is investigated through a dynamical systems approach. The model incorporates tumor cells, Natural Killer (NK) cells, dendritic cells, CD8+T cells, and circulating lymphocytes. The framework is expressed as a nonlinear system of ordinary differential equations, which is solved using the finite difference method (FDM). In addition, stability of the system is analyzed for two distinct cases: the equilibrium points without therapies and the equilibrium points under therapies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-27
DOI
https://doi.org/10.5281/zenodo.17288451
Primary Topic
Belt and Road Initiative
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling and Simulation of Tumor Growth with Stability Analysis

Zenodo (CERN European Organization for Nuclear Research)
Belt and Road Initiative
article

Modeling and Simulation of Tumor Growth with Stability Analysis

article en

Abstract

In this work, tumor development is investigated through a dynamical systems approach. The model incorporates tumor cells, Natural Killer (NK) cells, dendritic cells, CD8+T cells, and circulating lymphocytes. The framework is expressed as a nonlinear system of ordinary differential equations, which is solved using the finite difference method (FDM). In addition, stability of the system is analyzed for two distinct cases: the equilibrium points without therapies and the equilibrium points under therapies.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Belt and Road Initiative
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Modeling and Simulation of Tumor Growth with Stability Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS