Literature DB >> 29868882

In silico clinical trials: concepts and early adoptions.

Francesco Pappalardo1, Giulia Russo2, Flora Musuamba Tshinanu3, Marco Viceconti4.   

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.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  computational modelling; in silico clinical trials; regulatory agencies; systems biomedicine

Mesh:

Year:  2019        PMID: 29868882     DOI: 10.1093/bib/bby043

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  27 in total

1.  Realistic computer modelling of stent retriever thrombectomy: a hybrid finite-element analysis-smoothed particle hydrodynamics model.

Authors:  S Mostafa Mousavi J S; Danial Faghihi; Kelsey Sommer; Mohammad M S Bhurwani; Tatsat R Patel; Briana Santo; Muhammad Waqas; Ciprian Ionita; Elad I Levy; Adnan H Siddiqui; Vincent M Tutino
Journal:  J R Soc Interface       Date:  2021-12-15       Impact factor: 4.118

2.  A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design.

Authors:  Dimitrios Pleouras; Antonis Sakellarios; George Rigas; Georgia S Karanasiou; Panagiota Tsompou; Gianna Karanasiou; Vassiliki Kigka; Savvas Kyriakidis; Vasileios Pezoulas; George Gois; Nikolaos Tachos; Aidonis Ramos; Gualtiero Pelosi; Silvia Rocchiccioli; Lampros Michalis; Dimitrios I Fotiadis
Journal:  IEEE Open J Eng Med Biol       Date:  2021-05-20

3.  In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials.

Authors:  Ali Sarrami-Foroushani; Toni Lassila; Michael MacRaild; Joshua Asquith; Kit C B Roes; James V Byrne; Alejandro F Frangi
Journal:  Nat Commun       Date:  2021-06-23       Impact factor: 14.919

4.  Applicability assessment of a stent-retriever thrombectomy finite-element model.

Authors:  Giulia Luraghi; Jose Felix Rodriguez Matas; Gabriele Dubini; Francesca Berti; Sara Bridio; Sharon Duffy; Anushree Dwivedi; Ray McCarthy; Behrooz Fereidoonnezhad; Patrick McGarry; Charles B L M Majoie; Francesco Migliavacca
Journal:  Interface Focus       Date:  2020-12-11       Impact factor: 3.906

5.  In Silico Clinical Trials in the Orthopedic Device Industry: From Fantasy to Reality?

Authors:  Philippe Favre; Ghislain Maquer; Adam Henderson; Daniel Hertig; Daniel Ciric; Jeffrey E Bischoff
Journal:  Ann Biomed Eng       Date:  2021-05-10       Impact factor: 3.934

6.  Translatability and transferability of in silico models: Context of use switching to predict the effects of environmental chemicals on the immune system.

Authors:  Francesco Pappalardo; Giulia Russo; Emanuela Corsini; Alicia Paini; Andrew Worth
Journal:  Comput Struct Biotechnol J       Date:  2022-03-26       Impact factor: 6.155

7.  Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block.

Authors:  Jakub Tomek; Alfonso Bueno-Orovio; Elisa Passini; Xin Zhou; Ana Minchole; Oliver Britton; Chiara Bartolucci; Stefano Severi; Alvin Shrier; Laszlo Virag; Andras Varro; Blanca Rodriguez
Journal:  Elife       Date:  2019-12-24       Impact factor: 8.140

Review 8.  Presence of SARS-CoV-2 and Its Entry Factors in Oral Tissues and Cells: A Systematic Review.

Authors:  Marco Felipe Salas Orozco; Nereyda Niño-Martínez; Gabriel-Alejandro Martínez-Castañón; Nuria Patiño Marín; Carolina Sámano Valencia; Farid Alonso Dipp Velázquez; Paulina Del Carmen Sosa Munguía; Miguel Angel Casillas Santana
Journal:  Medicina (Kaunas)       Date:  2021-05-23       Impact factor: 2.430

Review 9.  Current Strategies and Applications for Precision Drug Design.

Authors:  Chen Wang; Pan Xu; Luyu Zhang; Jing Huang; Kongkai Zhu; Cheng Luo
Journal:  Front Pharmacol       Date:  2018-07-18       Impact factor: 5.810

10.  Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS).

Authors:  Marzio Pennisi; Giulia Russo; Giuseppe Sgroi; Angela Bonaccorso; Giuseppe Alessandro Parasiliti Palumbo; Epifanio Fichera; Dipendra Kumar Mitra; Kenneth B Walker; Pere-Joan Cardona; Merce Amat; Marco Viceconti; Francesco Pappalardo
Journal:  BMC Bioinformatics       Date:  2019-12-10       Impact factor: 3.169

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