The most lethal form of brain cancer, glioblastoma multiforme, is characterized by rapid
growth and invasion facilitated by cell migration and degradation of the extracellular matrix …

Glioblastoma is the most aggressive form of brain tumor, accounting for the highest mortality
and morbidity rates. Current treatment for patients with glioblastoma includes maximal safe …

In this study, fractional order is applied to the glioblastoma multiforme (GBM) and IS
interaction models. The monoclonal brain tumor GBM gives rise to other tumors with varying …

The main aim of this research work is to find the numerical solution based on a meshless
technique for both the time-dependent Cahn–Hilliard and tumor growth partial differential …

The proposed mathematical model describes how glioma cells evolve and survive the brief
encounter with the immune system mediated by macrophages and the tumor specific CD8+ …

The paper describes a mathematical model with synergistic interaction between the
malignant glioma cells and the immune system, namely, macrophages, activated Cytotoxic T …

A finite element scheme for the solution of a cancer invasion model is proposed. The cancer
dynamics model consists of three coupled partial differential equations which describe the …

In this article, we numerically solve an equation modeling the evolution of the density of
glioma in the brain—the most malignant form of brain tumor quantified in terms of net rates of …

In this paper, a new reaction-diffusion model with viscous stress tensor is proposed for
modeling the diffusion and invasion of brain glioma cells, which is based on the model in …

Reaction diffusion is the most common growth modelling methodology due to its simplicity
and consistency with the biological tumor growth process. However, current extensions of …