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Precision Medicine in Interventional Cardiology
Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise individual therapy. In silico testing, such as...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Radcliffe Cardiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203877/ https://www.ncbi.nlm.nih.gov/pubmed/32382319 http://dx.doi.org/10.15420/icr.2019.23 |
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author | Hokken, Thijmen W Ribeiro, Joana M De Jaegere, Peter P Van Mieghem, Nicolas M |
author_facet | Hokken, Thijmen W Ribeiro, Joana M De Jaegere, Peter P Van Mieghem, Nicolas M |
author_sort | Hokken, Thijmen W |
collection | PubMed |
description | Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise individual therapy. In silico testing, such as the Virtual Physiological Human project, is being promoted to predict risk and to test treatments and medical devices. It combines artificial intelligence and computational modelling to select the best therapeutic option for the individual patient. |
format | Online Article Text |
id | pubmed-7203877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Radcliffe Cardiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-72038772020-05-07 Precision Medicine in Interventional Cardiology Hokken, Thijmen W Ribeiro, Joana M De Jaegere, Peter P Van Mieghem, Nicolas M Interv Cardiol Expert Opinion Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise individual therapy. In silico testing, such as the Virtual Physiological Human project, is being promoted to predict risk and to test treatments and medical devices. It combines artificial intelligence and computational modelling to select the best therapeutic option for the individual patient. Radcliffe Cardiology 2020-04-23 /pmc/articles/PMC7203877/ /pubmed/32382319 http://dx.doi.org/10.15420/icr.2019.23 Text en Copyright © 2020, Radcliffe Cardiology https://creativecommons.org/licenses/by-nc/4.0/legalcode This work is open access under the CC-BY-NC 4.0 License which allows users to copy, redistribute and make derivative works for non-commercial purposes, provided the original work is cited correctly. |
spellingShingle | Expert Opinion Hokken, Thijmen W Ribeiro, Joana M De Jaegere, Peter P Van Mieghem, Nicolas M Precision Medicine in Interventional Cardiology |
title | Precision Medicine in Interventional Cardiology |
title_full | Precision Medicine in Interventional Cardiology |
title_fullStr | Precision Medicine in Interventional Cardiology |
title_full_unstemmed | Precision Medicine in Interventional Cardiology |
title_short | Precision Medicine in Interventional Cardiology |
title_sort | precision medicine in interventional cardiology |
topic | Expert Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203877/ https://www.ncbi.nlm.nih.gov/pubmed/32382319 http://dx.doi.org/10.15420/icr.2019.23 |
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