EconPapers    
Economics at your fingertips  
 

Numerical simulation of tumor spheroid dynamics

Roberto Chignola and Edoardo Milotti

Physica A: Statistical Mechanics and its Applications, 2004, vol. 338, issue 1, 261-266

Abstract: While mosts cells are polarized and give rise to complex structures as they grow, some cells, like those found in several tumors, are unpolarized, and produce spherical, or almost-spherical structures. Tumor spheroids may be grown in vitro and yield useful information on tumor dynamics, but growth requires long times (months) and is not easily controlled. We are now developing a novel numerical engine to simulate the growth of unpolarized cells and to study spheroid tumor growth in silico. Here we sketch the structure of the simulator and report on some of the very first results obtained with this approach.

Keywords: Tumor spheroid; Tumor growth; Biophysics; Computational biology (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437104002444
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:338:y:2004:i:1:p:261-266

DOI: 10.1016/j.physa.2004.02.049

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:338:y:2004:i:1:p:261-266