A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution

In this paper we model and simulate a biological system describing the evolution of cancer stem cells into tumors. Starting from some basic hypotheses about the behavior of these cells, we develop a model that mimics the evolution of a system of cancer stem cells and show how random-set-theory naturally leads to a generation algorithm. Computer simulations demonstrate the potential of our approach by using simple random sampling rules and a lattice environment.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Mónica F. Bugallo, Shishir Dash, Galina Botchkina, Marco Lops, Petar M. Djuric
• Keywords: Basic Hypotheses, Cancer Stem Cells, ICASSP 2011, Signal Processing, Simple Random Sampling