TY - JOUR
T1 - In silico clinical trials
T2 - Concepts and early adoptions
AU - Pappalardo, Francesco
AU - Russo, Giulia
AU - Musuamba Tshinanu, Flora
AU - Viceconti, Marco
N1 - Funding Information:
M.V. acknowledges the partial support of the UK EPSRC through the MultiSim project (grant number EP/K03877X/1), the European Commission H2020 programme through the CompBioMed Centre of Excellence (grant number H2020-EINFRA-2015-1-675451) and the UK National Institute for Health Research (NIHR) through the Sheffield Biomedical Research Centre (Translational Neuroscience). The views expressed are those of the author(s) and not necessarily those of the funders, the NHS, the NIHR or the UK Department of Health.
Publisher Copyright:
© 2018 The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: [email protected].
PY - 2019/9/27
Y1 - 2019/9/27
N2 - Innovations in information and communication technology infuse all branches of science, including life sciences. Nevertheless, healthcare is historically slow in adopting technological innovation, compared with other industrial sectors. In recent years, new approaches in modelling and simulation have started to provide important insights in biomedicine, opening the way for their potential use in the reduction, refinement and partial substitution of both animal and human experimentation. In light of this evidence, the European Parliament and the United States Congress made similar recommendations to their respective regulators to allow wider use of modelling and simulation within the regulatory process. In the context of in silico medicine, the term 'in silico clinical trials' refers to the development of patient-specific models to form virtual cohorts for testing the safety and/or efficacy of new drugs and of new medical devices. Moreover, it could be envisaged that a virtual set of patients could complement a clinical trial (reducing the number of enrolled patients and improving statistical significance), and/or advise clinical decisions. This article will review the current state of in silico clinical trials and outline directions for a full-scale adoption of patient-specific modelling and simulation in the regulatory evaluation of biomedical products. In particular, we will focus on the development of vaccine therapies, which represents, in our opinion, an ideal target for this innovative approach.
AB - Innovations in information and communication technology infuse all branches of science, including life sciences. Nevertheless, healthcare is historically slow in adopting technological innovation, compared with other industrial sectors. In recent years, new approaches in modelling and simulation have started to provide important insights in biomedicine, opening the way for their potential use in the reduction, refinement and partial substitution of both animal and human experimentation. In light of this evidence, the European Parliament and the United States Congress made similar recommendations to their respective regulators to allow wider use of modelling and simulation within the regulatory process. In the context of in silico medicine, the term 'in silico clinical trials' refers to the development of patient-specific models to form virtual cohorts for testing the safety and/or efficacy of new drugs and of new medical devices. Moreover, it could be envisaged that a virtual set of patients could complement a clinical trial (reducing the number of enrolled patients and improving statistical significance), and/or advise clinical decisions. This article will review the current state of in silico clinical trials and outline directions for a full-scale adoption of patient-specific modelling and simulation in the regulatory evaluation of biomedical products. In particular, we will focus on the development of vaccine therapies, which represents, in our opinion, an ideal target for this innovative approach.
KW - computational modelling
KW - in silico clinical trials
KW - regulatory agencies
KW - systems biomedicine
UR - http://www.scopus.com/inward/record.url?scp=85050138707&partnerID=8YFLogxK
U2 - 10.1093/bib/bby043
DO - 10.1093/bib/bby043
M3 - Review article
C2 - 29868882
AN - SCOPUS:85050138707
SN - 1467-5463
VL - 20
SP - 1699
EP - 1708
JO - Briefings in Bioinformatics
JF - Briefings in Bioinformatics
IS - 5
ER -