Computational challenges of tumor spheroid modeling
Abstract
The speed and the versatility of today's computers open up new opportunities to simulate complex biological systems. Here we review a computational approach recently proposed by us to model large tumor cell populations and spheroids, and we put forward general considerations that apply to any fine-grained numerical model of tumors. We discuss ways to bypass computational limitations and discuss our incremental approach, where each step is validated by experimental observations on a quantitative basis. We present a few results on the growth of tumor cells in closed and open environments and of tumor spheroids. This study suggests new ways to explore the initial growth phase of solid tumors and to optimize anti-tumor treatments.
Cite
@article{arxiv.1012.2125,
title = {Computational challenges of tumor spheroid modeling},
author = {Roberto Chignola and Alessio Del Fabbro and Marcello Farina and Edoardo Milotti},
journal= {arXiv preprint arXiv:1012.2125},
year = {2010}
}
Comments
19 pages, 4 figures, 2 tables. Accepted for publication in Journal of Bioinformatics and Computational Biology