@inproceedings{6c4b993bef6144f5afb21763dba28327,
title = "A biologically derived approach to tissue modeling",
abstract = "Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim{\textregistered} coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim{\textregistered} is capable of developing a virtual tissue with higher order properties. Using primitives based on cell signaling, gene networks, cell division, growth, and death, we have encoded a 64- cell cube-shaped tissue with emergent capacity to repair itself when up to 60\% of its cells are destroyed. Other tissue shapes such as sheets of cells also repair themselves. Capacity for self-repair is an emergent property derived from, but not specified by, the rule sets used to generate these virtual tissues.",
keywords = "Cells, Computer Simulation, Humans, Models, Biological, Software, United States",
author = "Tim Andersen and Tim Otter and Cap Petschulat and Ullysses Eoff and Tom Menten and Robert Davis and Bill Crowley",
year = "2005",
language = "English",
isbn = "1586034987",
volume = "111",
series = "Studies in Health Technology and Informatics",
pages = "15--21",
booktitle = "Medicine Meets Virtual Reality 13",
note = "13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005 ; Conference date: 26-01-2005 Through 29-01-2005",
}