Project deliverable Open Access

SIMCor. Deliverable 10.1: In-silico trial impact assessment framework (ECRIN, M12)

Aydin, Burç; Ohmann, Christian

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.6353628</identifier>
      <creatorName>Aydin, Burç</creatorName>
      <creatorName>Ohmann, Christian</creatorName>
    <title>SIMCor. Deliverable 10.1: In-silico trial impact assessment framework (ECRIN, M12)</title>
    <date dateType="Issued">2021-12-17</date>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.6353627</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The objective of this deliverable is to define and develop a framework for estimating the impact of in-silico&lt;br&gt;
methods and technologies on clinical and preclinical trials, laying the basis for the assessment of&lt;br&gt;
broader effects on patient safety, animal welfare and industry workflow. In the introductory part a&lt;br&gt;
status view on this area is given. The document starts with basic terminology and definitions related&lt;br&gt;
to in-silico approaches. Thereafter, existing standards, guidelines and frameworks relevant for in-silico&lt;br&gt;
trials are referenced. Examples and use cases of published in-silico trials are presented as well as&lt;br&gt;
existing tools to support in-silico trials described. The introductory part of the deliverable closes with&lt;br&gt;
a selection of projects and programs dedicated to in-silico approaches and relevant for SIMCor.&lt;br&gt;
The approach for executing an in-silico trial in SIMCor will be based on the methodology provided by&lt;br&gt;
Bodner and Kaul (Proceedings of the ASME 2021 Verification and Validation Symposium,&lt;br&gt;
V001T02A0012021) for in-silico clinical trials for medical devices. This framework heavily relies on&lt;br&gt;
ideas already developed for model verification, validation, and uncertainty quantification. The process&lt;br&gt;
starts with the computational model, which is developed upstream of the in-silico trial. The next step&lt;br&gt;
is to establish baseline credibility evidence with the goal that the model is ready to use for the in-silico&lt;br&gt;
trial. After this step, clinical trial planning starts with developing the in-silico trial protocol. Thereafter,&lt;br&gt;
the in-silico trial is designed as follows: a virtual cohort following the specifications of the human&lt;br&gt;
cohort is generated and a final model validation will be performed using human data. If the model is&lt;br&gt;
adequate the model predictions to the target population can be performed and the clinical endpoints&lt;br&gt;
can be evaluated. An important aspect in applying in-silico trials is the transfer from engineering&lt;br&gt;
outputs to clinical endpoints. To support this process, transfer functions based upon available data&lt;br&gt;
will be considered in SIMCor.&lt;/p&gt;</description>
    <description descriptionType="Other">SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/Horizon 2020 Framework Programme - Research and Innovation action/101017578/">101017578</awardNumber>
      <awardTitle>In Silico testing and validation of Cardiovascular Implantable devices</awardTitle>
All versions This version
Views 9090
Downloads 8282
Data volume 100.5 MB100.5 MB
Unique views 8282
Unique downloads 6464


Cite as