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Exploration of Autoimmune Diseases Using Multi-Agent Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004913" target="_blank" >RIV/62690094:18450/16:50004913 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/book/10.1007/978-3-319-45246-3/page/2" target="_blank" >http://link.springer.com/book/10.1007/978-3-319-45246-3/page/2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-45246-3_27" target="_blank" >10.1007/978-3-319-45246-3_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploration of Autoimmune Diseases Using Multi-Agent Systems

  • Original language description

    Autoimmune disease is a group of pathological events identified by abnormal reactions of the immune system against self-structures of the organism. Pathogenesis of autoimmune diseases is multi-factorial. Genetics, infections, and environmental factors can support the progress of the autoimmunity. We investigated this mechanism using in vivo or in vitro approaches. Main aim of this manuscript is to explore the autoimmunity with in-silico approach - multi-agent systems. The preliminary research finds out which results can be acquired using factual data applied for building the multi-agent-based model. Preliminary computational model integrates one of the common aspects of autoimmune diseases - abnormal behaviour of B-cells during their organogenesis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computational Collective Intelligence

  • ISBN

    978-3-319-45242-5

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    282-291

  • Publisher name

    Springer-Verlag

  • Place of publication

    Berlín

  • Event location

    Halkidiki, Greece

  • Event date

    Sep 28, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article