TY  - JOUR
AU  - Khirsariya, Sagar R.
AU  - Aldosary, Saud Fahad
PY  - 2026
TI  - A fractal-fractional chemo-immune model for non-muscle-invasive bladder cancer: Analysis and simulation
JO  - AIMS Mathematics
SP  - 8716
EP  - 8761
VL  - 11
IS  - 3
AB  - This research presents a novel mathematical study for analyzing the chemo-immune dynamics of non-muscle-invasive bladder cancer (NMIBC). We generalize a foundational three-compartment model (Mitomycin-C, Tumor, Effector-cells) by employing the fractal-fractional (FF) differential operator in the Caputo sense, characterized by a fractional order    α and a fractal dimension    β. This advanced operator is uniquely suited to capture the non-local memory effects inherent in immune system activation and the fractal (non-Euclidean) nature of the tumor microenvironment. We first establish the model's mathematical integrity by rigorously proving the existence, uniqueness, positivity, and boundedness of its solutions. The long-term behavior of the system is then analyzed, centered on the derivation of the basic reproduction number (             R        0  ). We demonstrate that the disease-free equilibrium is globally asymptotically stable if              R        0    ≤  1, while a unique endemic (tumor) equilibrium emerges and gains stability if              R        0    >  1, indicating a transcritical bifurcation. For the numerical solution, we develop a semi-analytical scheme using the fractal-fractional Adomian decomposition method (FF-ADM) and validate its high accuracy against established numerical methods. Extensive numerical simulations are presented, including 2D and 3D plots, which visualize the profound impact of the fractional parameters    α and    β on the system's trajectory, revealing that they significantly alter the time to tumor clearance. A comprehensive sensitivity analysis identifies the most critical parameters for controlling the disease, and 3D bifurcation plots illustrate the thresholds between tumor elimination and persistence. This work provides a more realistic and flexible tool for understanding NMIBC, with direct implications for optimizing treatment strategies.
UR  - https://doi.org/10.3934/math.2026359
DO  - 10.3934/math.2026359