Agent-Based Immune Modeling is a computational modeling framework within immune system simulation that uses autonomous, rule-based agents to represent individual immune entities and their interactions, distinguishing it from population-level or continuum-based approaches by explicitly capturing spatial dynamics, heterogeneity, and emergent behavior in immune processes.
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86
Immune system simulation online
Nicolas Rapin, Ole Lund, Filippo Castiglione · Bioinformatics · 2011 · 226 citations · Full text
Multiscale Agent-Based and Hybrid Modeling of the Tumor Immune Microenvironment
Kerri‐Ann Norton, Chang Gong, Samira Jamalian et al. · Processes · 2019 · 180 citations · Full text
Medicine, Cancer Biology, Oncology +17
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University of Catania
Catania, Italy
7 h-index
27 publications
1.3K citations
National Research Council
Rome, Italy
5 h-index
13 publications
958 citations
Virginia Tech
Blacksburg, United States
5 h-index
48 publications
1.2K citations
University of Chicago
Chicago, United States
3 h-index
5 publications
227 citations
University of Michigan
Ann Arbor, United States
3 h-index
8 publications
432 citations
Los Alamos National Laboratory
Los Alamos, United States
3 h-index
7 publications
700 citations
University of Alberta
Edmonton, Canada
2 h-index
2 publications
107 citations
École nationale d'ingénieurs de Brest
Plouzané, France
2 h-index
10 publications
447 citations
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- PLoS ONE
11 publications · 359 citations
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6 publications · 172 citations
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- PLoS Computational Biology
4 publications · 223 citations
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- Frontiers in Immunology
3 publications · 135 citations
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- Bioinformatics
3 publications · 313 citations
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