Viceconti, M. orcid.org/0000-0002-2293-1530, Henney, A. and Morley-Fletcher, E. (2016) In silico clinical trials: how computer simulation will transform the biomedical industry. International Journal of Clinical Trials, 3 (2). pp. 37-46. ISSN 2349-3240
Abstract
The term ‘in silico clinical trials indicates the use of individualised computer simulation in the development or regulatory evaluation of a medicinal product, medical device, or medical intervention. This review article summarises the research and technological roadmap developed by the Avicenna Support Action during an 18 month consensus process that involved 577 international experts from academia, the biomedical industry, the simulation industry, the regulatory world, etc. The roadmap documents early examples of in silico clinical trials, identifies relevant use cases for in silico clinical trial technologies over the entire development and assessment cycle for both pharmaceuticals and medical devices, identifies open challenges and barriers to a wider adoption and puts forward 36 recommendations for all relevant stakeholders to consider.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Computer modelling and simulation; Clinical trials; In silico medicine; Predictive medicine |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 AVICENNA - 611819 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 May 2016 15:45 |
Last Modified: | 28 Jun 2017 13:31 |
Published Version: | https://dx.doi.org/10.18203/2349-3259.ijct20161408 |
Status: | Published |
Publisher: | Medip Academy |
Refereed: | Yes |
Identification Number: | 10.18203/2349-3259.ijct20161408 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:99981 |