Computational Cardiology-- A New Discipline of Translational Research

Over the past two decades, improved diagnosis, pharmaceutical therapies, and interventional strategies have impressively improved the armamentarium of modern cardiologists in the fight against the most incident and lethal diseases： heart failure, ischemic heart disease, and arrhythmia. The innovatio...

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Bibliographic Details
Published inGenomics, proteomics & bioinformatics Vol. 14; no. 4; pp. 177 - 178
Main Authors Meder, Benjamin, Katus, Hugo A., Keller, Andreas
Format Journal Article
LanguageEnglish
Published China Elsevier Ltd 01.08.2016
Institute for Cardiomyopathies, Department of Internal Medicine III, University of Heidelberg, 69120 Heidelberg, Germany%Chair for Clinical Bioinformatics, Medical Faculty, Saarland University, 66123 Saarbru¨cken, Germany
Elsevier
Oxford University Press
Subjects
Cardiology
Computational Biology
Humans
Preface
Translational Medical Research
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Summary:Over the past two decades, improved diagnosis, pharmaceutical therapies, and interventional strategies have impressively improved the armamentarium of modern cardiologists in the fight against the most incident and lethal diseases： heart failure, ischemic heart disease, and arrhythmia. The innovations in the field have mostly been enabled by inventions based on hypothesis-driven approaches. The invention and development of key cardiac biomarkers, such as natriuretic peptides and cardiac-specific troponins, may serve as examples.
Bibliography:11-4926/Q
Over the past two decades, improved diagnosis, pharmaceutical therapies, and interventional strategies have impressively improved the armamentarium of modern cardiologists in the fight against the most incident and lethal diseases： heart failure, ischemic heart disease, and arrhythmia. The innovations in the field have mostly been enabled by inventions based on hypothesis-driven approaches. The invention and development of key cardiac biomarkers, such as natriuretic peptides and cardiac-specific troponins, may serve as examples.
ORCID: 0000-0002-5361-0895.
ORCID: 0000-0003-0741-2633.
ISSN:1672-0229
2210-3244
DOI:10.1016/j.gpb.2016.08.001