# Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-identifies-clinical-sepsis-phenotypes-that-translate-to-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thilo Bracht,Maike Weber,K Käppler,Lars Palmowski,Malte Bayer,Karin Schork,Tim Rahmel,Matthias Unterberg,Helge Haberl,Alexander Wolf,Björn Koos,Katharina Rump,Dominik Ziehe,Ulrich Limper,Dietrich Henzler,Stefan Ehrentraut,Thilo von Groote,Alexander Zarbock,Katrin Marcus,Martin Eisenacher,Michael Adamzik,Barbara Sitek,Hartmuth Nowak |
| Citations | 11 |
| DOI | 10.1007/s15010-025-02628-3 |
| Fields | Chemistry,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s15010-025-02628-3.pdf |
| OpenAlex ID | https://openalex.org/W4413797547 |
| PMID | 40875167 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Lars Palmowski](https://scholariq.org/researchers/lars-palmowski/)

## Paper primary topic

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

## Paper topics

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [Clusterin in disease pathology](https://scholariq.org/topics/clusterin-in-disease-pathology/)
- [Advanced Proteomics Techniques and Applications](https://scholariq.org/topics/advanced-proteomics-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.