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Reference: Burton, RAB, Rodriguez, B, Britton, O et al., (2015). Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial. Europace, euv320-euv320.Citable link to this page:

 

Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial

Abstract: Both biomedical research and clinical practice rely on complex datasets for the physiological and genetic characterization of human hearts in health and disease. Given the complexity and variety of approaches and recordings, there is now growing recognition of the need to embed computational methods in cardiovascular medicine and science for analysis, integration and prediction. This paper describes a Workshop on Computational Cardiovascular Science that created an international, interdisciplinary and inter-sectorial forum to define the next steps for a human-based approach to disease supported by computational methodologies. The main ideas highlighted were (i) a shift towards human-based methodologies, spurred by advances in new in silico, in vivo, in vitro, and ex vivo techniques and the increasing acknowledgement of the limitations of animal models. (ii) Computational approaches complement, expand, bridge, and integrate in vitro, in vivo, and ex vivo experimental and clinical data and methods, and as such they are an integral part of human-based methodologies in pharmacology and medicine. (iii) The effective implementation of multi- and interdisciplinary approaches, teams, and training combining and integrating computational methods with experimental and clinical approaches across academia, industry, and healthcare settings is a priority. (iv) The human-based cross-disciplinary approach requires experts in specific methodologies and domains, who also have the capacity to communicate and collaborate across disciplines and cross-sector environments. (v) This new translational domain for human-based cardiology and pharmacology requires new partnerships supported financially and institutionally across sectors. Institutional, organizational, and social barriers must be identified, understood and overcome in each specific setting.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Accepted manuscript Funder: University of Oxford   Funder: Wellcome Trust   Funder: British Heart Foundation   Funder: Engineering and Physical Sciences Research Council   Funder: China Scholarship Council   Notes:© The Authors 2015. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Bibliographic Details

Publisher: Oxford University Press

Publisher Website: http://www.oxfordjournals.org/

Journal: Europacesee more from them

Publication Website: http://europace.oxfordjournals.org/

Issue Date: 2015-11-29

pages:euv320-euv320Identifiers

Urn: uuid:f7fbc245-bcdc-4adf-899a-b17a6ada2dca

Source identifier: 577374

Eissn: 1532-2092

Doi: https://doi.org/10.1093/europace/euv320

Issn: 1532-2092 Item Description

Type: Journal article;

Language: eng

Version: Accepted manuscriptKeywords: Human-based methods Computational approaches Human electrophysiology Stem-cell-derived cardiomyocytes Computer modelling and simulations Arrhythmias Biomarkers Tiny URL: pubs:577374

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Author: Burton, RAB - institutionUniversity of Oxford facultyOxford, MSD, Physiology Anatomy and Genetics - - - Rodriguez, B - institutio

Source: https://ora.ox.ac.uk/objects/uuid:f7fbc245-bcdc-4adf-899a-b17a6ada2dca



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