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Sustainability of a Three-Species Predator–Prey Model in Tumor-Immune Dynamics with Periodic Treatment

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Název: Sustainability of a Three-Species Predator–Prey Model in Tumor-Immune Dynamics with Periodic Treatment
Autoři: Avan Al-Saffar, Eun-jin Kim
Zdroj: Entropy ; Volume 27 ; Issue 3 ; Pages: 264
Informace o vydavateli: Multidisciplinary Digital Publishing Institute
Rok vydání: 2025
Sbírka: MDPI Open Access Publishing
Témata: dynamical systems, sustainability, fisher information, perturbations, probability density function (PDF)
Popis: Using a tumor-immune growth model, we investigate how immunotherapy affects its dynamical characteristics. Specifically, we extend the prey–predator model of tumor cells and immune cells by including periodic immunotherapy, the nonlinear damping of cancer cells, and the dynamics of a healthy cell population, and investigate the effects of the model parameters. The ideal value of immunotherapy, which promotes the growth of immune (and healthy) cells while contributing to the elimination or control of the cancer cells, is determined by using Fisher information as a measure of variability throughout our study.
Druh dokumentu: text
Popis souboru: application/pdf
Jazyk: English
Relation: Multidisciplinary Applications; https://dx.doi.org/10.3390/e27030264
DOI: 10.3390/e27030264
Dostupnost: https://doi.org/10.3390/e27030264
Rights: https://creativecommons.org/licenses/by/4.0/
Přístupové číslo: edsbas.30E8A777
Databáze: BASE
Popis
Abstrakt:Using a tumor-immune growth model, we investigate how immunotherapy affects its dynamical characteristics. Specifically, we extend the prey–predator model of tumor cells and immune cells by including periodic immunotherapy, the nonlinear damping of cancer cells, and the dynamics of a healthy cell population, and investigate the effects of the model parameters. The ideal value of immunotherapy, which promotes the growth of immune (and healthy) cells while contributing to the elimination or control of the cancer cells, is determined by using Fisher information as a measure of variability throughout our study.
DOI:10.3390/e27030264