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50 p, 1.3 MB CARDIOVASCULAR RNA MARKERS AND ARTIFICIAL INTELLIGENCE MAY IMPROVE COVID-19 OUTCOME : POSITION PAPER FROM THE EU-CardioRNA COST Action CA17129 / Badimon, Lina (Institut d'Investigació Biomèdica Sant Pau) ; Robinson, Emma L. (Maastricht University) ; Jusic, Amela (Cardiovascular Research Unit) ; Carpusca, Irina (Cardiovascular Research Unit) ; de Windt, Leon J.. (Department of Molecular Genetics) ; Emanueli, Costanza (National Heart & Lung Institute) ; Ferdinandy, Péter (Cardiometabolic Research Group and MTA-SE System Pharmacology Research Group) ; Gu, Wei (Luxembourg Center for Systems Biomedicine) ; Gyöngyösi, Mariann (Department of Cardiology) ; Hackl, Matthias (TAmiRNA GmbH) ; Karaduzovic-Hadziabdic, Kanita (Faculty of Engineering and Natural Sciences) ; Lustrek, Mitja (Department of Intelligent Systems) ; Martelli, Fabio (Molecular Cardiology Laboratory) ; Nham, Eric (University of Zagreb School of Medicine) ; Potočnjak, Ines (Institute for Clinical Medical Research and Education) ; Satagopam, Venkata (Luxembourg Center for Systems Biomedicine) ; Schneider, Reinhard (Luxembourg Center for Systems Biomedicine) ; Thum, Thomas (Institute of Molecular and Translational Therapeutic Strategies (IMTTS)) ; Devaux, Yvan (Cardiovascular Research Unit) ; Universitat Autònoma de Barcelona
The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting more than 105 million people worldwide as of February 8th, 2020 and causing more than 2. 3 million deaths according the World Health Organization. [...]
2021 - 10.1093/cvr/cvab094
Cardiovascular research, april 2021  

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