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Rijksuniversiteit Groningenfounded in 1614  -  top 100 university
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Publicaties

Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort study

Sepsis-associated acute kidney injury in mice and humans elicits heterogeneous renal microvascular microRNA responses

The smell of sepsis: Electronic nose measurements improve early recognition of sepsis in the ED

Uncovering molecular markers of the microvascular endothelial response in sepsis-associated acute kidney injury: a translational study in mice and humans

Urinary proteomics in sepsis-associated AKI

Validation of plasma microRNAs as biomarkers in sepsis associated acute kidney injury upon first clinical presentation reveals limited diagnostic and prognostic performance

Pers/media

RUG-onderzoeker test elektronische neus om bloedvergiftiging te herkennen in adem