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A proteomic survival predictor for COVID-19 patients in int..:
Demichev, Vadim
;
Tober-Lau, Pinkus
;
Nazarenko, Tatiana
...
PLOS Digital Health. 1 (2022) 1 - p. e0000007 , 2022
Link:
https://doi.org/10.1371/journal.pdig.0000007
RT Journal T1
A proteomic survival predictor for COVID-19 patients in intensive care
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pdig.0000007&Exemplar=1&LAN=DE A1 Demichev, Vadim A1 Tober-Lau, Pinkus A1 Nazarenko, Tatiana A1 Lemke, Oliver A1 Kaur Aulakh, Simran A1 Whitwell, Harry J. A1 Röhl, Annika A1 Freiwald, Anja A1 Mittermaier, Mirja A1 Szyrwiel, Lukasz A1 Ludwig, Daniela A1 Correia-Melo, Clara A1 Lippert, Lena J. A1 Helbig, Elisa T. A1 Stubbemann, Paula A1 Olk, Nadine A1 Thibeault, Charlotte A1 Grüning, Nana-Maria A1 Blyuss, Oleg A1 Vernardis, Spyros A1 White, Matthew A1 Messner, Christoph B. A1 Joannidis, Michael A1 Sonnweber, Thomas A1 Klein, Sebastian J. A1 Pizzini, Alex A1 Wohlfarter, Yvonne A1 Sahanic, Sabina A1 Hilbe, Richard A1 Schaefer, Benedikt PB Public Library of Science (PLoS) YR 2022 SN 2767-3170 JF PLOS Digital Health VO 1 IS 1 SP e0000007 LK http://dx.doi.org/https://doi.org/10.1371/journal.pdig.0000007 DO https://doi.org/10.1371/journal.pdig.0000007 SF ELIB - SuUB Bremen
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