ANALYSIS OF A FRACTIONAL ORDER MODEL FOR THE INTERACTION BETWEEN GROWTH AND CROWDING OF TUMOR STEM CELLS VIA CAPUTO FRACTIONAL DERIVATIVES

The dynamics of cancer, such as tumor growth and the existence of cancer stem cells, pose a persistent challenge to contemporary medicine. With consideration of cancer stem cells, we present a fractional-order model to explain an intricate relationship between cellular crowding and tumor growth and offer more accurate depictions of actual biological processes. Also, by using the fixed-point theorem, we examine the possibility of finding solutions to our model and their uniqueness. Further, we use the Laplace residual power series approach to obtain certain analytical solutions and arrive at explicit solutions that shed light on the dynamics of the given system and the development of tumors. Furthermore, we show the influence of fractional derivative dynamics and cancer stem cells on tumor growth, as the fractional derivative enriches our knowledge of the complex underlying mechanisms of tumor progression that, in turn, have consequences for the determination of targeted therapies. In addition, the main contribution of this work lies in expanding the literature on the mathematical modeling of tumors, as it emphasizes the critical importance of the impact of fractional derivative dynamics on the complex interactions in tumor microenvironments.

Authors

Institutions

Publication Details

Journal
Fractals
Published
2026-02-04
DOI
https://doi.org/10.1142/s0218348x26400128
Citations
1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
41.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF A FRACTIONAL ORDER MODEL FOR THE INTERACTION BETWEEN GROWTH AND CROWDING OF TUMOR STEM CELLS VIA CAPUTO FRACTIONAL DERIVATIVES

Mohammed Al‐Smadi, Mohammed Alabedalhadi, Wael Mahmoud Mohammad Salameh, Dumitru Baleanu et al.
1 citations
Fractals
Mathematical Biology Tumor Growth
41.38
article

ANALYSIS OF A FRACTIONAL ORDER MODEL FOR THE INTERACTION BETWEEN GROWTH AND CROWDING OF TUMOR STEM CELLS VIA CAPUTO FRACTIONAL DERIVATIVES

Mohammed Al‐Smadi, Mohammed Alabedalhadi, Wael Mahmoud Mohammad Salameh, Dumitru Baleanu, Shaher Momani, Yeliz Karaca, Shrideh Al-Omari
article en
1 citations

Abstract

The dynamics of cancer, such as tumor growth and the existence of cancer stem cells, pose a persistent challenge to contemporary medicine. With consideration of cancer stem cells, we present a fractional-order model to explain an intricate relationship between cellular crowding and tumor growth and offer more accurate depictions of actual biological processes. Also, by using the fixed-point theorem, we examine the possibility of finding solutions to our model and their uniqueness. Further, we use the Laplace residual power series approach to obtain certain analytical solutions and arrive at explicit solutions that shed light on the dynamics of the given system and the development of tumors. Furthermore, we show the influence of fractional derivative dynamics and cancer stem cells on tumor growth, as the fractional derivative enriches our knowledge of the complex underlying mechanisms of tumor progression that, in turn, have consequences for the determination of targeted therapies. In addition, the main contribution of this work lies in expanding the literature on the mathematical modeling of tumors, as it emphasizes the critical importance of the impact of fractional derivative dynamics on the complex interactions in tumor microenvironments.

Fractals
University of Jordan (JO), Abu Dhabi University (AE), University of Massachusetts Chan Medical School (US), Ajman University (AE), Al-Balqa Applied University (JO), Lusail University, Lebanese American University (LB)
Openalex Percentile: Top 1%
Mathematical Biology Tumor Growth
41.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.