Multiscale agent-based cancer modeling

Le Zhang; Zhihui Wang; Jonathan A. Sagotsky; Thomas S. Deisboeck

doi:10.1007/s00285-008-0211-1

Multiscale agent-based cancer modeling

Le Zhang, Zhihui Wang, Jonathan A. Sagotsky, Thomas S. Deisboeck

Research output: Contribution to journal › Review article › peer-review

121 Scopus citations

Abstract

Agent-based modeling (ABM) is an in silico technique that is being used in a variety of research areas such as in social sciences, economics and increasingly in biomedicine as an interdisciplinary tool to study the dynamics of complex systems. Here, we describe its applicability to integrative tumor biology research by introducing a multi-scale tumor modeling platform that understands brain cancer as a complex dynamic biosystem. We summarize significant findings of this work, and discuss both challenges and future directions for ABM in the field of cancer research.

Original language	English (US)
Pages (from-to)	545-559
Number of pages	15
Journal	Journal of Mathematical Biology
Volume	58
Issue number	4-5
DOIs	https://doi.org/10.1007/s00285-008-0211-1
State	Published - Apr 1 2009

Keywords

Agent-based modeling
Computational systems biology
Tumor simulation

ASJC Scopus subject areas

Modeling and Simulation
Agricultural and Biological Sciences (miscellaneous)
Applied Mathematics

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10.1007/s00285-008-0211-1

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title = "Multiscale agent-based cancer modeling",

abstract = "Agent-based modeling (ABM) is an in silico technique that is being used in a variety of research areas such as in social sciences, economics and increasingly in biomedicine as an interdisciplinary tool to study the dynamics of complex systems. Here, we describe its applicability to integrative tumor biology research by introducing a multi-scale tumor modeling platform that understands brain cancer as a complex dynamic biosystem. We summarize significant findings of this work, and discuss both challenges and future directions for ABM in the field of cancer research.",

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AU - Zhang, Le

AU - Wang, Zhihui

AU - Sagotsky, Jonathan A.

AU - Deisboeck, Thomas S.

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Y1 - 2009/4/1

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AB - Agent-based modeling (ABM) is an in silico technique that is being used in a variety of research areas such as in social sciences, economics and increasingly in biomedicine as an interdisciplinary tool to study the dynamics of complex systems. Here, we describe its applicability to integrative tumor biology research by introducing a multi-scale tumor modeling platform that understands brain cancer as a complex dynamic biosystem. We summarize significant findings of this work, and discuss both challenges and future directions for ABM in the field of cancer research.

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KW - Computational systems biology

KW - Tumor simulation

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Multiscale agent-based cancer modeling

Abstract

Keywords

ASJC Scopus subject areas

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