Article citationsMore>>

Benzekry, S., et al. (2014) Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth. PLOS Computational Biology, 10, e1003800.
https://doi.org/10.1371/journal.pcbi.1003800

has been cited by the following article:

• TITLE: Towards a Field Theoretical Stochastic Model for Description of Tumour Growth

  AUTHORS: Leonardo Mondaini

  KEYWORDS: Second Quantization Approach, Stochastic Epidemic Models, Master Equation, Tumour Growth, Liver Cancer

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.5 No.5, May 26, 2017

  ABSTRACT: We develop a field theory-inspired stochastic model for description of tumour growth based on an analogy with an SI epidemic model, where the susceptible individuals (S) would represent the healthy cells and the infected ones (I), the cancer cells. From this model, we obtain a curve describing the tumour volume as a function of time, which can be compared to available experimental data.