Sentence examples for modelling of tumour from inspiring English sources

3D cultures introduce environmental cues from the extracellular matrix, enabling more accurate modelling of tumour behaviour (Egeblad et al., 2010).

The related work on spatio-temporal modelling of tumour growth needs to be refereed to in the Introduction section.

Thus modelling of tumour biology is cell-type and stroma-context dependent, and alterations of these from a 2D to a more physiological 3D system produces striking changes.

The issue of spatio-temporal modelling of tumour growth is an area of active research in cell population dynamics (e.g., the studies of Bertuzzi and Gandolfi).

As far as the mathematical modelling of tumour and immune system interactions is concerned, there are many papers in the current literature which use deterministic models [ 13, 17, 18, 21- 30] or stochastic models [ 31- 35], as well as models introduced by Bellomo based on the kinetic theories of nonlinear statistical mechanics [ 36, 37].

Only then could somatic cells do their job, and be present in appropriate numbers.The standard model of tumour formation was based on the fact that somatic cells slowly accumulate mutations.

Such method is developed for a stochastic multi-scale model of tumour growth, i.e. population-dynamical models which account for the effects of intrinsic noise affecting both the number of cells and the intracellular dynamics.

These represent models of a thin film flow of a spreading viscous droplet and a multi-phase-field model of tumour growth.

This work is based on a study of vascular networks generated from a discrete mathematical model of tumour angiogenesis, which describes the formation of a capillary network in response to chemical stimuli released by a solid tumour.

In this model of tumour growth each cell is equipped with a micro-environment response network that determines the behaviour or phenotype of the cell based on the local environment.

A mouse model of tumour growth with Δ27-expressing Ba/F3 cells was used to investigate masitinib's in vivo activity.