Pierre Tennstedt
www.martini-klinik.de
0000-0001-9237-3442
Martini-Klinik at Medical University Hamburg-Eppendorf
2 papers found
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A Neural Network Model Combining [-2]proPSA, freePSA, Total PSA, Cathepsin D, and Thrombospondin-1 Showed Increased Accuracy in the Identification of Clinically Significant Prostate Cancer
Development and validation of a novel multivariate risk score to guide biopsy decision for the diagnosis of clinically significant prostate cancer
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