Gene signature for the prediction of the trajectories of sepsis-induced acute kidney injury
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1364-8535
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Gene signature for the prediction of the trajectories of sepsis-induced acute kidney injury ; volume:26 ; number:1 ; day:21 ; month:12 ; year:2022 ; pages:1-10 ; date:12.2022
Critical care ; 26, Heft 1 (21.12.2022), 1-10, 12.2022
- Urheber
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Zhang, Zhongheng
Chen, Lin
Liu, Huiheng
Sun, Yujing
Shui, Pengfei
Gao, Jian
Wang, Decong
Jiang, Huilin
Li, Yanling
Chen, Kun
Hong, Yucai
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s13054-022-04234-3
- URN
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urn:nbn:de:101:1-2023030321170906808180
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 MESZ
Datenpartner
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Beteiligte
- Zhang, Zhongheng
- Chen, Lin
- Liu, Huiheng
- Sun, Yujing
- Shui, Pengfei
- Gao, Jian
- Wang, Decong
- Jiang, Huilin
- Li, Yanling
- Chen, Kun
- Hong, Yucai
- SpringerLink (Online service)
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