A biologically derived approach to tissue modeling

Tim Andersen; Tim Otter; Cap Petschulat; Ullysses Eoff; Tom Menten; Robert Davis; Bill Crowley

A biologically derived approach to tissue modeling

Tim Andersen, Tim Otter, Cap Petschulat, Ullysses Eoff, Tom Menten, Robert Davis, Bill Crowley

Computer Science Department

Crowley Davis Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim® coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim® 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.

Original language	English
Title of host publication	Medicine Meets Virtual Reality 13
Subtitle of host publication	The Magical Next Becomes the Medical Now, MMVR 2005
Pages	15-21
Number of pages	7
State	Published - 2005
Event	13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005 - Long Beach, CA, United States Duration: 26 Jan 2005 → 29 Jan 2005

Publication series

Name	Studies in Health Technology and Informatics
Volume	111
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005
Country/Territory	United States
City	Long Beach, CA
Period	26/01/05 → 29/01/05

Cite this

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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.",

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",

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",

}

Andersen, T, Otter, T, Petschulat, C, Eoff, U, Menten, T, Davis, R & Crowley, B 2005, A biologically derived approach to tissue modeling. in Medicine Meets Virtual Reality 13: The Magical Next Becomes the Medical Now, MMVR 2005. Studies in Health Technology and Informatics, vol. 111, pp. 15-21, 13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005, Long Beach, CA, United States, 26/01/05.

TY - GEN

T1 - A biologically derived approach to tissue modeling

AU - Andersen, Tim

AU - Otter, Tim

AU - Petschulat, Cap

AU - Eoff, Ullysses

AU - Menten, Tom

AU - Davis, Robert

AU - Crowley, Bill

PY - 2005

Y1 - 2005

N2 - Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim® coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim® 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.

AB - Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim® coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim® 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.

UR - http://www.scopus.com/inward/record.url?scp=23844456032&partnerID=8YFLogxK

M3 - Conference contribution

C2 - 15718691

AN - SCOPUS:23844456032

SN - 1586034987

SN - 9781586034986

T3 - Studies in Health Technology and Informatics

SP - 15

EP - 21

BT - Medicine Meets Virtual Reality 13

T2 - 13th Annual Conference on Medicine Meets Virtual Reality: The Magical Next Becomes the Medical Now, MMVR 2005

Y2 - 26 January 2005 through 29 January 2005

ER -

A biologically derived approach to tissue modeling

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