No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Bridging the gap between the micro- and the macro-world of tumors
2. E. Schrodinger, What is life? (Cambridge University Press, Cambridge, 1944).
8. L. Heinemann, G. Simpson, N. Annels, R. Vile, A. Melcher, R. Prestwich, K. Harrington, and H. Pandha, Molecular Therapy (2010).
19. M. De Berg, O. Cheong, and M. Van Kreveld, Computational geometry: algorithms and applications (Springer-Verlag New York Inc, 2008).
20. H. Edelsbrunner and E. Mücke, in Proceedings of the 1992 workshop on Volume visualization (ACM, 1992) pp. 75–82.
21. T. Dey, H. Edelsbrunner, and S. Guha, in Advances in Discrete and Computational Geometry (Citeseer, 1999).
29. F. Lang and S. Waldegger, American scientist 85, 456 (1997).
34. Wolfram Research Inc., Champaign, Illinois, Mathematica Edition: Version 8.0 (Wolfram Research Inc., 2010).
38. D. Nolte, R. An, J. Turek, and K. Jeong, Journal of Laboratory Automation (2011).
Article metrics loading...
At present it is still quite difficult to match the vast knowledge on the behavior of individual tumorcells with macroscopic measurements on clinical tumors. On the modeling side, we already know how to deal with many molecular pathways and cellular events, using systems of differential equations and other modeling tools, and ideally, we should be able to extend such a mathematical description up to the level of large tumor masses. An extended model should thus help us forecast the behavior of large tumors from our basic knowledge of microscopic processes. Unfortunately, the complexity of these processes makes it very difficult – probably impossible – to develop comprehensive analytical models. We try to bridge the gap with a simulation program which is based on basic biochemical and biophysical processes – thereby building an effective computational model – and in this paper we describe its structure, endeavoring to make the description sufficiently detailed and yet understandable.
Full text loading...
Most read this month