mtmt
The Hungarian Scientific Bibliography
XML
JSON
Public search
Magyarul
Citations
/
Citings
Cardiovascular rna markers and artificial intelligence may improve covid-19 outcome: position paper from the eu-cardiorna cost action ca17129
Badimon, Lina
;
Robinson, Emma L
;
Jusic, Amela
;
Carpusca, Irina
;
de Windt, Leon J
;
Emanueli, Costanza
;
Ferdinandy, Péter [Ferdinandy, Péter (Farmakológia, mol...), author] Department of Pharmacology and Pharmacotherapy (SU / FM / I)
;
Gu, Wei
;
Gyöngyösi, Mariann
;
Hackl, Matthias
;
Karaduzovic-Hadziabdic, Kanita
;
Lustrek, Mitja
;
Martelli, Fabio
;
Nham, Eric
;
Potočnjak, Ines
;
Satagopam, Venkata
;
Schneider, Reinhard
;
Thum, Thomas
;
Devaux, Yvan ✉
;
EU-CardioRNA COST Action CA17129 [Collaborative Organization]
English Study Group (Journal Article) Scientific
Published:
CARDIOVASCULAR RESEARCH 0008-6363 1755-3245
117
(8)
pp. 1823-1840
2021
SJR Scopus - Cardiology and Cardiovascular Medicine: D1
Identifiers
MTMT: 31961584
DOI:
10.1093/cvr/cvab094
WoS:
000698482600012
Scopus:
85112119789
PubMed:
33839767
Fundings:
Nemzeti szívprogram(NVKP_16-1–2016-0017) Funder: NRDIO
(Investment into the Future—COVID-19 project at Semmelweis University)
Cited in (21)
Citing (5)
Citation styles:
IEEE
ACM
APA
Chicago
Harvard
CSL
Copy
Print
2025-04-02 00:18
×
Export list as bibliography
Citation styles:
IEEE
ACM
APA
Chicago
Harvard
Print
Copy