Fisher Information Approach in Modified Predator–Prey Model

Avan Al-Saffar; Eun-jin Kim

doi:10.3390/axioms14020144

Fisher Information Approach in Modified Predator–Prey Model

Avan Al-Saffar, Eun-jin Kim

Research Centre for Fluid and Complex Systems

Research output: Contribution to journal › Article › peer-review

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Abstract

The tumor immune system is modified through immunotherapy to more effec- tively eliminate cancer cells. This has led to the adoption of several mathematical models of cancer diffusion to explore the tumor–immune interaction, and as a result, the distinctive interaction between cancer and immune populations has received increased attention. The objective of this work is to analyze Fisher information to examine variability and sustainabil- ity in a modified predator–prey model. Specifically, we investigate how parameter values influence the system’s dynamics. Unlike traditional deterministic models, our approach incorporates the effects of immunotherapy dosage, introducing a novel perspective. We further explore the system’s response to various modulations, providing deeper insights into its behavior under different conditions.

Original language	English
Article number	144
Number of pages	14
Journal	Axioms
Volume	14
Issue number	2
DOIs	https://doi.org/10.3390/axioms14020144
Publication status	Published - 19 Feb 2025

Bibliographical note

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
(https://creativecommons.org/licenses/by/4.0/)

Keywords

nonlinear dynamical systems
sustainability
Fisher information
periodic modulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/axioms14020144Licence: CC BY

Kim2025VORFinal published version, 2.65 MBLicence: CC BY
Al-Saffar&E.Kim2025axioms-14-00144-v2Licence: CC BY

Cite this

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Fisher Information Approach in Modified Predator–Prey Model

Abstract

Bibliographical note

Keywords

UN SDGs

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