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 | |
| 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/)
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- nonlinear dynamical systems
- sustainability
- Fisher information
- periodic modulation
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