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Fisher Information Approach in Modified Predator–Prey Model

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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 languageEnglish
Article number144
Number of pages14
JournalAxioms
Volume14
Issue number2
DOIs
Publication statusPublished - 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/)

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • nonlinear dynamical systems
  • sustainability
  • Fisher information
  • periodic modulation

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