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Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review.

Authors :
Viceconti, Marco
Emili, Luca
Afshari, Payman
Courcelles, Eulalie
Curreli, Cristina
Famaey, Nele
Geris, Liesbet
Horner, Marc
Jori, Maria Cristina
Kulesza, Alexander
Loewe, Axel
Neidlin, Michael
Reiterer, Markus
Rousseau, Cecile F.
Russo, Giulia
Sonntag, Simon J.
Voisin, Emmanuelle M.
Pappalardo, Francesco
Source :
IEEE Journal of Biomedical & Health Informatics; Oct2021, Vol. 25 Issue 10, p3977-3982, 6p
Publication Year :
2021

Abstract

The term “In Silico Trial” indicates the use of computer modelling and simulation to evaluate the safety and efficacy of a medical product, whether a drug, a medical device, a diagnostic product or an advanced therapy medicinal product. Predictive models are positioned as new methodologies for the development and the regulatory evaluation of medical products. New methodologies are qualified by regulators such as FDA and EMA through formal processes, where a first step is the definition of the Context of Use (CoU), which is a concise description of how the new methodology is intended to be used in the development and regulatory assessment process. As In Silico Trials are a disruptively innovative class of new methodologies, it is important to have a list of possible CoUs highlighting potential applications for the development of the relative regulatory science. This review paper presents the result of a consensus process that took place in the InSilicoWorld Community of Practice, an online forum for experts in in silico medicine. The experts involved identified 46 descriptions of possible CoUs which were organised into a candidate taxonomy of nine CoU categories. Examples of 31 CoUs were identified in the available literature; the remaining 15 should, for now, be considered speculative. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21682194
Volume :
25
Issue :
10
Database :
Complementary Index
Journal :
IEEE Journal of Biomedical & Health Informatics
Publication Type :
Academic Journal
Accession number :
153789527
Full Text :
https://doi.org/10.1109/JBHI.2021.3090469