We present a physiologically structured lattice model for vascular tumor growth which accounts for blood flow and structural adaptation of the vasculature, transport of oxygen, interaction between cancerous and normal tissue, cell division, apoptosis, vascular endothelial growth factor release, and the coupling between these processes. Simulations of the model are used to investigate the effect...

We study the impact of the decrease in the neural population on the neuronal firing rate. We propose a cellular automaton model from cancerous growth in a brain tissue and the death of neurons due absence of cells that help support to neurons. We use this model to study how the firing rate changes when the neuronal networks is under different external stimuli and the cancerous cells have differ...

We consider a cancer started with a single cancerous cell which spreads through an epithelial basal layer according to the Williams– Bjerknes tumour model on the lattice Z2. We prove that the expected number μ(t) of cancerous cells at time t satisfies lim t→+∞ μ(t) tρ = 0 for all ρ > 2.

abstractintroduction: cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. methods: we constructed protein interaction networks of cancerous a...

Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  First,...

The aim of the present study was to evaluate the penetration of paclitaxel in normal as well as cancerous human cervical monolayer membranes and to compare these results with the paclitaxel penetration in a model dipalmitoylphosphatidylcholine (DPPC) monolayer. At physiologically relevant surface pressures of 30 mN/m, equilibrium drug penetration was observed in DPPC model membrane, whereas in ...

Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  First,...

We propose a multiscale chemo-mechanical model of cancer tumor development in epithelial tissue. The model is based on the transformation of normal cells into a cancerous state triggered by a local failure of spatial synchronization of the circadian rhythm. The model includes mechanical interactions and a chemical signal exchange between neighboring cells, as well as a division of cells and int...