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Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach
The development of a new technology based on patient-specific modelling for personalised healthcare in the case of atherosclerosis is presented. Atherosclerosis is the main cause of death in the world and it has become a burden on clinical services as it manifests itself in many diverse forms, such...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613843/ https://www.ncbi.nlm.nih.gov/pubmed/26609369 http://dx.doi.org/10.1049/htl.2013.0040 |
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author | Díaz-Zuccarini, Vanessa Di Tomaso, Giulia Agu, Obiekezie Pichardo-Almarza, Cesar |
author_facet | Díaz-Zuccarini, Vanessa Di Tomaso, Giulia Agu, Obiekezie Pichardo-Almarza, Cesar |
author_sort | Díaz-Zuccarini, Vanessa |
collection | PubMed |
description | The development of a new technology based on patient-specific modelling for personalised healthcare in the case of atherosclerosis is presented. Atherosclerosis is the main cause of death in the world and it has become a burden on clinical services as it manifests itself in many diverse forms, such as coronary artery disease, cerebrovascular disease/stroke and peripheral arterial disease. It is also a multifactorial, chronic and systemic process that lasts for a lifetime, putting enormous financial and clinical pressure on national health systems. In this Letter, the postulate is that the development of new technologies for healthcare using computer simulations can, in the future, be developed as in-silico management and support systems. These new technologies will be based on predictive models (including the integration of observations, theories and predictions across a range of temporal and spatial scales, scientific disciplines, key risk factors and anatomical sub-systems) combined with digital patient data and visualisation tools. Although the problem is extremely complex, a simulation workflow and an exemplar application of this type of technology for clinical use is presented, which is currently being developed by a multidisciplinary team following the requirements and constraints of the Vascular Service Unit at the University College Hospital, London. |
format | Online Article Text |
id | pubmed-4613843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-46138432015-11-25 Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach Díaz-Zuccarini, Vanessa Di Tomaso, Giulia Agu, Obiekezie Pichardo-Almarza, Cesar Healthc Technol Lett Article The development of a new technology based on patient-specific modelling for personalised healthcare in the case of atherosclerosis is presented. Atherosclerosis is the main cause of death in the world and it has become a burden on clinical services as it manifests itself in many diverse forms, such as coronary artery disease, cerebrovascular disease/stroke and peripheral arterial disease. It is also a multifactorial, chronic and systemic process that lasts for a lifetime, putting enormous financial and clinical pressure on national health systems. In this Letter, the postulate is that the development of new technologies for healthcare using computer simulations can, in the future, be developed as in-silico management and support systems. These new technologies will be based on predictive models (including the integration of observations, theories and predictions across a range of temporal and spatial scales, scientific disciplines, key risk factors and anatomical sub-systems) combined with digital patient data and visualisation tools. Although the problem is extremely complex, a simulation workflow and an exemplar application of this type of technology for clinical use is presented, which is currently being developed by a multidisciplinary team following the requirements and constraints of the Vascular Service Unit at the University College Hospital, London. The Institution of Engineering and Technology 2014-03-21 /pmc/articles/PMC4613843/ /pubmed/26609369 http://dx.doi.org/10.1049/htl.2013.0040 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
spellingShingle | Article Díaz-Zuccarini, Vanessa Di Tomaso, Giulia Agu, Obiekezie Pichardo-Almarza, Cesar Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
title | Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
title_full | Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
title_fullStr | Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
title_full_unstemmed | Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
title_short | Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
title_sort | towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613843/ https://www.ncbi.nlm.nih.gov/pubmed/26609369 http://dx.doi.org/10.1049/htl.2013.0040 |
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