Cancer has become known as a complex and systematic disease on macroscopic,
mesoscopic and microscopic scales. Systems biology employs state-of-the-art …

Background Understanding cancer development crossing several spatial-temporal scales is
of great practical significance to better understand and treat cancers. It is difficult to tackle …

The neurosphere assay is a powerful in vitro system for studying stem/progenitor-cell-driven
tissue growth. By employing a stochastic cellular automata model, we simulated the …

Abstract Introduction Conway's Game of Life (GOL), and related cellular automata (CA)
models, have served as interesting simulations of complex behaviors resulting from simple …

We model and simulate avascular tumor growth in three dimensions using lattice gas
cellular automata (LGCA). Our 3D models are an advance over current state-of-the-art …

When the blood flow is considered as steady Poiseuille flow, the governing Navier–Stokes
equations can be reduced to the Hagen–Poiseuille law. This simplification results in a …

In this paper we present a three-dimensional (3D) tumourous cell growth model using a
hybrid cellular automata (CA) and continuum-based method. The CA model is employed to …

In this study, the objective is to model a neuronal population using cellular automata (CA)
rules that are both simple and realistic. Unlike in previous research, the primary aim is to …

Cancer treatment is a fragmented and varied process, as “cancer” is really hundreds of
different diseases. The “hallmarks of cancer” proposed by Hanahan and Weinberg (Cell 100 …

In Canada it is estimated that 76,600 people will die of cancer in 2014. Cancer, a collection
of over 200 diseases, has differences existing between globally, between individuals and …