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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">55</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:8FE60005-0CE8-5F90-AF8B-9EF8C18A0BCA</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">BioDiscovery</journal-title>
        <abbrev-journal-title xml:lang="en">BD</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2050-2966</issn>
      <publisher>
        <publisher-name>Pensoft Publishers</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/biodiscovery.21.e28591</article-id>
      <article-id pub-id-type="publisher-id">28591</article-id>
      <article-id pub-id-type="manuscript">10027</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Conference Abstract</subject>
        </subj-group>
        <subj-group subj-group-type="conference-part">
          <subject>World BioDiscovery Congress 2018</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Physiology</subject>
        </subj-group>
        <subj-group subj-group-type="geographical_area">
          <subject>Europe</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Virtual patient simulations for cardiology education and research: A CircAdapt perspective</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Trifonov</surname>
            <given-names>Dimitar</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Huntjens</surname>
            <given-names>Peter R</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Willemen</surname>
            <given-names>Erik</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Delhaas</surname>
            <given-names>Tammo</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Lumens</surname>
            <given-names>Joost</given-names>
          </name>
          <email xlink:type="simple">joost.lumens@maastrichtuniversity.nl</email>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, Netherlands</addr-line>
        <institution>Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center</institution>
        <addr-line content-type="city">Maastricht</addr-line>
        <country>Netherlands</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Joost Lumens (<email xlink:type="simple">joost.lumens@maastrichtuniversity.nl</email>).</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: </p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2018</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>15</day>
        <month>08</month>
        <year>2018</year>
      </pub-date>
      <volume>21</volume>
      <elocation-id>e28591</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/7910EB1D-64C1-577F-A684-97191C9827AB">7910EB1D-64C1-577F-A684-97191C9827AB</uri>
      <uri content-type="zenodo_dep_id" xlink:href="https://zenodo.org/record/1402291">1402291</uri>
      <history>
        <date date-type="received">
          <day>24</day>
          <month>07</month>
          <year>2018</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Dimitar Trifonov, Peter  Huntjens, Erik Willemen, Tammo Delhaas, Joost Lumens</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p>Nowadays cardiac simulations are becoming increasingly sophisticated. This trend, part of the maturing field of computational medicine, has provided medical students and cardiologists alike with a new tool for education and research – their very own virtual “patient”. The CircAdapt biophysical model of the human heart and circulation (<ext-link ext-link-type="uri" xlink:href="http://www.circadapt.org/">www.circadapt.org</ext-link>) allows the creation of a virtual “patient” for the study of the cardiovascular system and circulatory haemodynamics under diverse physiological and pathophysiological conditions in real time. The interactive CircAdapt model with its modular design based on established physical and physiologial principles allows dynamic monitoring of blood flow velocities, pressures and volumes in the heart and blood vessels, and across valves and shunts. As an educational tool, the CircAdapt model enables medical students and residents in cardiology, neonatology and intensive care medicine to analyze complex situations while improving their comprehension of cardiovascular physics and (patho)physiology. Moreover, the CircAdapt model has been successfully utilized as a research tool for cardiac resynchronization therapy as well as for various cardiovascular pathologies (e.g. pulmonary arterial hypertension, LBBB). All in all the CircAdapt perspective is as follows: bridge education and research - from classroom to bedside – to foster the future of clinical practice.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Computational simulations</kwd>
        <kwd>virtual patient</kwd>
        <kwd>CircAdapt</kwd>
        <kwd>cardiovascular system</kwd>
        <kwd>haemodynamics</kwd>
      </kwd-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="0"/>
        <ref-count count="0"/>
      </counts>
    </article-meta>
    <notes>
      <sec sec-type="Presenting author">
        <title>Presenting author</title>
        <p>Dimitar Trifonov</p>
      </sec>
      <sec sec-type="Presented at">
        <title>Presented at</title>
        <p>World BioDiscovery Congress 2018</p>
      </sec>
    </notes>
  </front>
</article>
