ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2016
Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop.
Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Integrated multi-modal data analysis for computational modeling of healthy and location-dependent myocardial infarction conditions in porcine hearts.PLoS computational biology · 2026Article
- What determines the optimal pharmacological treatment of atrial fibrillation? Insights from in silico trials in 800 virtual atria.The Journal of physiology · 2023Article
- Review
- Basic Research Approaches to Evaluate Cardiac Arrhythmia in Heart Failure and Beyond.Frontiers in physiology · 2022Review
- CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes.Circulation research · 2021Article
- Toward a broader view of mechanisms of drug cardiotoxicity.Cell reports. Medicine · 2021Review
- In silico trials: Verification, validation and uncertainty quantification of predictive models used in the regulatory evaluation of biomedical products.Methods (San Diego, Calif.) · 2021Article
- In-silico human electro-mechanical ventricular modelling and simulation for drug-induced pro-arrhythmia and inotropic risk assessment.Progress in biophysics and molecular biology · 2021Article
- Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers.Computer methods in applied mechanics and engineering · 2020Article
- Feasibility of Using Adjunctive Optogenetic Technologies in Cardiomyocyte Phenotyping - from the Single Cell to the Whole Heart.Current pharmaceutical biotechnology · 2020Review
- Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity.Frontiers in pharmacology · 2020Article
- An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine.Frontiers in bioengineering and biotechnology · 2020Review
- Drug-induced shortening of the electromechanical window is an effective biomarker for in silico prediction of clinical risk of arrhythmias.British journal of pharmacology · 2019Article
- The Melding of Drug Screening Platforms for Melanoma.Frontiers in oncology · 2019Review
- Improved Computational Identification of Drug Response Using Optical Measurements of Human Stem Cell Derived Cardiomyocytes in Microphysiological Systems.Frontiers in pharmacology · 2019Article
- Large-Scale Simulation of the Phenotypical Variability Induced by Loss-of-Function Long QT Mutations in Human Induced Pluripotent Stem Cell Cardiomyocytes.International journal of molecular sciences · 2018Article
- Many Cells Make Life Work-Multicellularity in Stem Cell-Based Cardiac Disease Modelling.International journal of molecular sciences · 2018Review
- Harvesting the promise of AOPs: An assessment and recommendations.The Science of the total environment · 2018Review
- From ionic to cellular variability in human atrial myocytes: an integrative computational and experimental study.American journal of physiology. Heart and circulatory physiology · 2018Article
- Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.Journal of the Royal Society, Interface · 2018Review
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Authors and funding
32 authors.
Funding
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.
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Registered trials
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