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Robust performance of a urinary molecular biomarker–based risk score to detect high-grade prostate cancer using optimised cascading models

Trooskens
Geert
Department of Mathematical Modelling, Statistics and Bioinformatics
Ghent University
Ghent
Belgium
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Steyaert
Sandra
MDxHealth BV
Nijmegen
The Netherlands
De Jong
Hans
MDxHealth BV
Nijmegen
The Netherlands
Hessels
Daphne
MDxHealth BV
Nijmegen
The Netherlands
van Oort
Inge
Department of Urology
Radboud University Medical Center
Nijmegen
The Netherlands
Mulders
Peter
Department of Urology
Radboud University Medical Center
Nijmegen
The Netherlands
Hendriks
Rianne
Department of Urology
Radboud University Medical Center
Nijmegen
The Netherlands
Schalken
Jack
Department of Urology
Radboud University Medical Center
Nijmegen
The Netherlands
Van Criekinge
Wim
Department of Mathematical Modelling, Statistics and Bioinformatics
Ghent University
Ghent
Belgium

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Speciality: 
Urology
Keywords: 
urinary molecular biomarker, Prostate cancer, SelectMDx