In silico clinical trials: concepts and early adoptions

Abstract 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 simul...

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Published inBriefings in bioinformatics Vol. 20; no. 5; pp. 1699 - 1708
Main Authors Pappalardo, Francesco, Russo, Giulia, Tshinanu, Flora Musuamba, Viceconti, Marco
Format Journal Article
LanguageEnglish
Published England Oxford University Press 27.09.2019
Oxford Publishing Limited (England)
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Abstract Abstract 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.
AbstractList 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.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.
Abstract 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.
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.
Author Russo, Giulia
Viceconti, Marco
Tshinanu, Flora Musuamba
Pappalardo, Francesco
Author_xml – sequence: 1
  givenname: Francesco
  surname: Pappalardo
  fullname: Pappalardo, Francesco
  organization: Department of Drug Sciences, University of Catania, Catania, Italy
– sequence: 2
  givenname: Giulia
  surname: Russo
  fullname: Russo, Giulia
  organization: Department of Biomedical and Biotechnological Sciences, University of Catania, Catania 95123, Italy
– sequence: 3
  givenname: Flora Musuamba
  surname: Tshinanu
  fullname: Tshinanu, Flora Musuamba
  organization: Federal Agency for Medicines and Health Products, Brussels, Belgium and INSERM U1248, Université de Limoges, Limoges, France
– sequence: 4
  givenname: Marco
  surname: Viceconti
  fullname: Viceconti, Marco
  email: m.viceconti@sheffield.ac.uk
  organization: Department of Mechanical Engineering, University of Sheffield, Sheffield, UK and INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, UK
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29868882$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com 2018
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The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com
Copyright_xml – notice: The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com 2018
– notice: The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.
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IsPeerReviewed true
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Issue 5
Keywords computational modelling
systems biomedicine
regulatory agencies
in silico clinical trials
Language English
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Snippet Abstract Innovations in information and communication technology infuse all branches of science, including life sciences. Nevertheless, healthcare is...
Innovations in information and communication technology infuse all branches of science, including life sciences. Nevertheless, healthcare is historically slow...
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SubjectTerms Clinical trials
Innovations
Medical devices
Medical equipment
Modelling
Patients
Simulation
Technological change
Title In silico clinical trials: concepts and early adoptions
URI https://www.ncbi.nlm.nih.gov/pubmed/29868882
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Volume 20
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