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Matteo Ferro

Showing results (201-210 of 420) with videos related to

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Oncotarget|October 30, 2016
Low serum total testosterone level as a predictor of upstaging and upgrading in low-risk prostate cancer patients meeting the inclusion criteria for active surveillanceMatteo Ferro, Giuseppe Lucarelli, Dario Bruzzese, et al.
Andrologia|March 4, 2022
The association of impaired semen quality and pregnancy rates in assisted reproduction technology cycles: Systematic review and meta-analysisFrancesco Del Giudice, Federico Belladelli, Tony Chen, et al.
The Journal of Liquid Biopsy|July 3, 2025
Blood and urine-based biomarkers in prostate cancer: Current advances, clinical applications, and future directionsFelice Crocetto, Michele Musone, Stefano Chianese, et al.
Urologic Oncology|April 1, 2017
Activation of the kynurenine pathway predicts poor outcome in patients with clear cell renal cell carcinomaGiuseppe Lucarelli, Monica Rutigliano, Matteo Ferro, et al.
Prostate Cancer and Prostatic Diseases|August 22, 2018
Cost-effectiveness of SelectMDx for prostate cancer in four European countries: a comparative modeling studyTim M Govers, Daphne Hessels, Virginie Vlaeminck-Guillem, et al.
Diagnostics (Basel, Switzerland)|March 6, 2021
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management-Current Trends and Future PerspectivesOctavian Sabin Tătaru, Mihai Dorin Vartolomei, Jens J Rassweiler, et al.
Urologia Internationalis|September 27, 2021
Perioperative Outcomes of Holmium Laser Enucleation of the Prostate: A Systematic ReviewAngelo Porreca, Michele Colicchia, Alessandro Tafuri, et al.
Metabolites|December 16, 2020
Integration of Lipidomics and Transcriptomics Reveals Reprogramming of the Lipid Metabolism and Composition in Clear Cell Renal Cell CarcinomaGiuseppe Lucarelli, Matteo Ferro, Davide Loizzo, et al.
Plos One|October 8, 2015
Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance ImagingOttavio de Cobelli, Daniela Terracciano, Elena Tagliabue, et al.
Urologic Oncology|July 1, 2020
Pathological findings at radical prostatectomy of biopsy naïve men diagnosed with MRI targeted biopsy alone without concomitant standard systematic samplingStefano Luzzago, Giuseppe Petralia, Duilia Maresca, et al.
Pageof 42

Showing results (201-210 of 420) with videos related to

Sort By:
Pageof 42
Oncotarget|October 30, 2016
Low serum total testosterone level as a predictor of upstaging and upgrading in low-risk prostate cancer patients meeting the inclusion criteria for active surveillanceMatteo Ferro, Giuseppe Lucarelli, Dario Bruzzese, et al.
Andrologia|March 4, 2022
The association of impaired semen quality and pregnancy rates in assisted reproduction technology cycles: Systematic review and meta-analysisFrancesco Del Giudice, Federico Belladelli, Tony Chen, et al.
The Journal of Liquid Biopsy|July 3, 2025
Blood and urine-based biomarkers in prostate cancer: Current advances, clinical applications, and future directionsFelice Crocetto, Michele Musone, Stefano Chianese, et al.
Urologic Oncology|April 1, 2017
Activation of the kynurenine pathway predicts poor outcome in patients with clear cell renal cell carcinomaGiuseppe Lucarelli, Monica Rutigliano, Matteo Ferro, et al.
Prostate Cancer and Prostatic Diseases|August 22, 2018
Cost-effectiveness of SelectMDx for prostate cancer in four European countries: a comparative modeling studyTim M Govers, Daphne Hessels, Virginie Vlaeminck-Guillem, et al.
Diagnostics (Basel, Switzerland)|March 6, 2021
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management-Current Trends and Future PerspectivesOctavian Sabin Tătaru, Mihai Dorin Vartolomei, Jens J Rassweiler, et al.
Urologia Internationalis|September 27, 2021
Perioperative Outcomes of Holmium Laser Enucleation of the Prostate: A Systematic ReviewAngelo Porreca, Michele Colicchia, Alessandro Tafuri, et al.
Metabolites|December 16, 2020
Integration of Lipidomics and Transcriptomics Reveals Reprogramming of the Lipid Metabolism and Composition in Clear Cell Renal Cell CarcinomaGiuseppe Lucarelli, Matteo Ferro, Davide Loizzo, et al.
Plos One|October 8, 2015
Predicting Pathological Features at Radical Prostatectomy in Patients with Prostate Cancer Eligible for Active Surveillance by Multiparametric Magnetic Resonance ImagingOttavio de Cobelli, Daniela Terracciano, Elena Tagliabue, et al.
Urologic Oncology|July 1, 2020
Pathological findings at radical prostatectomy of biopsy naïve men diagnosed with MRI targeted biopsy alone without concomitant standard systematic samplingStefano Luzzago, Giuseppe Petralia, Duilia Maresca, et al.
Pageof 42