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1 |
Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome
Enthalten in Infection 28.8.2025: 1-15
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2 |
Assessing SOFA score trajectories in sepsis using machine learning
Palmowski, Lars. - Bochum : Ruhr-Universität Bochum, 2024
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3 |
DSA2 - Der Bund der Schwarzen Schlange (remastered)
Limper, Werner Fuchs. - Waldems : Ulisses Medien und Spiel Distribution GmbH, 2024
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Verlagsmeldung
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4 |
Mortality-associated plasma proteome dynamics in a prospective multicentre sepsis cohort
Palmowski, Lars. - Bochum : Ruhr-Universität Bochum, 2024
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5 |
The association between the rs3747406 polymorphism in the glucocorticoid-induced leucine zipper gene and sepsis survivals depends on the SOFA score
Rusev, Stefan. - Bochum : Ruhr-Universität Bochum, 2024
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6 |
BattleTech-Kompendium
[Erkrath] : Fantasy Productions, 1993
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7 |
Dream-Chipper
Long, James D.. - [Erkrath] : Fantasy Productions, 1993
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8 |
High expression of L-GILZ transcript variant 1 (GILZ TV 1) is associated with increased 30-day sepsis mortality, and a high expression ratio possibly contraindicates hydrocortisone administration
Enthalten in Critical care Bd. 28, 12.8.2024, Nr. 1, date:12.2024: 1-12
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9 |
Plasma proteomics identifies molecular subtypes in sepsis
Enthalten in Critical care Bd. 29, 2.9.2025, Nr. 1, date:12.2025: 1-14
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Administration
