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Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases
The use of in silico trials is expected to play an increasingly important role in the development and regulatory evaluation of new medical products. Among the advantages that in silico approaches offer, is that they permit testing of drug candidates and new medical devices using virtual patients or...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831955/ https://www.ncbi.nlm.nih.gov/pubmed/36074307 http://dx.doi.org/10.1007/s10439-022-03052-6 |
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author | Nicolò, Chiara Sips, Fianne Vaghi, Cristina Baretta, Alessia Carbone, Vincenzo Emili, Luca Bursi, Roberta |
author_facet | Nicolò, Chiara Sips, Fianne Vaghi, Cristina Baretta, Alessia Carbone, Vincenzo Emili, Luca Bursi, Roberta |
author_sort | Nicolò, Chiara |
collection | PubMed |
description | The use of in silico trials is expected to play an increasingly important role in the development and regulatory evaluation of new medical products. Among the advantages that in silico approaches offer, is that they permit testing of drug candidates and new medical devices using virtual patients or computational emulations of preclinical experiments, allowing to refine, reduce or even replace time-consuming and costly benchtop/in vitro/ex vivo experiments as well as the involvement of animals and humans in in vivo studies. To facilitate and widen the adoption of in silico trials, InSilicoTrials Technologies has developed a cloud-based platform, hosting healthcare simulation tools for different bench, preclinical and clinical evaluations, and for diverse disease areas. This paper discusses four use cases of in silico trials performed using the InSilicoTrials.com platform. The first application illustrates how in silico approaches can improve the early preclinical assessment of drug-induced cardiotoxicity risks. The second use case is a virtual reproduction of a bench test for the safety assessment of transcatheter heart valve substitutes. The third and fourth use cases are examples of virtual patients generation to evaluate treatment effects in multiple sclerosis and prostate cancer patients, respectively. |
format | Online Article Text |
id | pubmed-9831955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-98319552023-01-12 Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases Nicolò, Chiara Sips, Fianne Vaghi, Cristina Baretta, Alessia Carbone, Vincenzo Emili, Luca Bursi, Roberta Ann Biomed Eng S.I. : Modeling for Advancing Regulatory Science The use of in silico trials is expected to play an increasingly important role in the development and regulatory evaluation of new medical products. Among the advantages that in silico approaches offer, is that they permit testing of drug candidates and new medical devices using virtual patients or computational emulations of preclinical experiments, allowing to refine, reduce or even replace time-consuming and costly benchtop/in vitro/ex vivo experiments as well as the involvement of animals and humans in in vivo studies. To facilitate and widen the adoption of in silico trials, InSilicoTrials Technologies has developed a cloud-based platform, hosting healthcare simulation tools for different bench, preclinical and clinical evaluations, and for diverse disease areas. This paper discusses four use cases of in silico trials performed using the InSilicoTrials.com platform. The first application illustrates how in silico approaches can improve the early preclinical assessment of drug-induced cardiotoxicity risks. The second use case is a virtual reproduction of a bench test for the safety assessment of transcatheter heart valve substitutes. The third and fourth use cases are examples of virtual patients generation to evaluate treatment effects in multiple sclerosis and prostate cancer patients, respectively. Springer International Publishing 2022-09-08 2023 /pmc/articles/PMC9831955/ /pubmed/36074307 http://dx.doi.org/10.1007/s10439-022-03052-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | S.I. : Modeling for Advancing Regulatory Science Nicolò, Chiara Sips, Fianne Vaghi, Cristina Baretta, Alessia Carbone, Vincenzo Emili, Luca Bursi, Roberta Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases |
title | Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases |
title_full | Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases |
title_fullStr | Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases |
title_full_unstemmed | Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases |
title_short | Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases |
title_sort | accelerating digitalization in healthcare with the insilicotrials cloud-based platform: four use cases |
topic | S.I. : Modeling for Advancing Regulatory Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831955/ https://www.ncbi.nlm.nih.gov/pubmed/36074307 http://dx.doi.org/10.1007/s10439-022-03052-6 |
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