The virtual assay software for human in silico drug trials to augment drug cardiac testing-Reference-Cited by-同舟云学术

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The virtual assay software for human in silico drug trials to augment drug cardiac testing

Published:2021-05 Issue: Volume:52 Page:101202
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Passini Elisa,Zhou Xin,Trovato Cristian,Britton Oliver J,Bueno-Orovio Alfonso,Rodriguez Blanca

Funder

Engineering and Physical Sciences Research Council

European Commission

Wellcome Trust

National Centre for the Replacement, Refinement and Reduction of Animals in Research

British Heart Foundation

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference58 articles.

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2. Pharmacogenomics, pharmacokinetics and pharmacodynamics: interaction with biological differences between men and women;Franconi;Br. J. Pharmacol.,2014

3. Post-marketing withdrawal of 462 medicinal products because of adverse drug reactions: a systematic review of the world literature;Onakpoya;BMC Med.,2016

4. Better science for safer medicines: the human imperative;Archibald;J. R. Soc. Med.,2018

5. Is it possible to overcome issues of external validity in preclinical animal research? Why most animal models are bound to fail;Pound;J. Transl. Med.,2018

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1. Exavir : mise en place et évaluation de l’acquisition de compétences en pharmacologie expérimentale par des étudiants en pharmacie;Annales Pharmaceutiques Françaises;2024-09

2. A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data;Arrhythmia & Electrophysiology Review;2024-05-20

3. Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies;eLife;2024-04-10

4. An explicit local space-time adaptive framework for monodomain models in cardiac electrophysiology;Computer Methods in Applied Mechanics and Engineering;2024-03

5. Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies;2024-02-13

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