prof. Francis Verbeke
- ORCID iD
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0000-0003-2112-6326
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- Journal Article
- A1
- open access
Machine learning-based urine peptidome analysis to predict and understand mechanisms of progression to kidney failure
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- Journal Article
- A1
- open access
Contribution of hypoalbuminemia and anemia to the prognostic value of plasma p-cresyl sulfate and p-cresyl glucuronide for cardiovascular outcome in chronic kidney disease
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- Journal Article
- A1
- open access
Arterial stiffness in patients with type 1 diabetes and its comparison to cardiovascular risk evaluation tools
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- Journal Article
- A1
- open access
Syndecan-1 and free indoxyl sulfate levels are associated with miR-126 in chronic kidney disease
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- Journal Article
- A1
- open access
Gut microbiome profiling uncovers a lower abundance of Butyricicoccus in advanced stages of chronic kidney disease
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C-reactive protein in neonates and risk for autism spectrum disorder
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Free p-cresyl sulfate shows the highest association with cardiovascular outcome in chronic kidney disease
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The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease
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Tackling diagnostic challenges during the first wave of COVID-19
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- Journal Article
- A1
- open access
Gut microbiota generation of protein-bound uremic toxins and related metabolites is not altered at different stages of chronic kidney disease see