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Matteo Ferro

Showing results (41-50 of 420) with videos related to

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Translational Research : the Journal of Laboratory and Clinical Medicine|April 26, 2017
Urinary long noncoding RNAs in nonmuscle-invasive bladder cancer: new architects in cancer prognostic biomarkersDaniela Terracciano, Matteo Ferro, Sara Terreri, et al.
World Journal of Urology|August 15, 2013
Visceral obesity predicts adverse pathological features in urothelial bladder cancer patients undergoing radical cystectomy: a retrospective cohort studyFrancesco Cantiello, Antonio Cicione, Riccardo Autorino, et al.
Urologic Oncology|June 10, 2018
Prognostic role of pretreatment neutrophil-to-lymphocyte ratio (NLR) in patients with non-muscle-invasive bladder cancer (NMIBC): A systematic review and meta-analysisMihai Dorin Vartolomei, Daniel Porav-Hodade, Matteo Ferro, et al.
Urology|February 12, 2011
Inhibitory effect of standardized cannabis sativa extract and its ingredient cannabidiol on rat and human bladder contractilityRaffaele Capasso, Gabriella Aviello, Francesca Borrelli, et al.
Expert Opinion on Biological Therapy|December 16, 2014
The epidermal growth factor receptors as biological targets in penile cancerGiuseppe Di Lorenzo, Carlo Buonerba, Matteo Ferro, et al.
Diagnostics (Basel, Switzerland)|August 7, 2021
Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on "Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. <i>Diagnostics</i> 2021, <i>11</i>, 335"Francesco Gentile, Matteo Ferro, Bartolomeo Della Ventura, et al.
Clinical Genitourinary Cancer|May 24, 2022
A Combinatorial Neural Network Analysis Reveals a Synergistic Behaviour of Multiparametric Magnetic Resonance and Prostate Health Index in the Identification of Clinically Significant Prostate CancerFrancesco Gentile, Evelina La Civita, Bartolomeo Della Ventura, et al.
Journal of Basic and Clinical Physiology and Pharmacology|March 18, 2023
Inguinal lymphadenectomy in penile cancer patients: a comparison between open and video endoscopic approach in a multicenter settingMaida Bada, Felice Crocetto, Peter Nyirady, et al.
Nutrients|September 28, 2023
Prostate Cancer Severity in Relation to Level of Food ProcessingSalvatore Sciacca, Arturo Lo Giudice, Maria Giovanna Asmundo, et al.
Expert Review of Molecular Diagnostics|July 16, 2015
Metabolomic profiling for the identification of novel diagnostic markers in prostate cancerGiuseppe Lucarelli, Monica Rutigliano, Vanessa Galleggiante, et al.
Pageof 42

Showing results (41-50 of 420) with videos related to

Sort By:
Pageof 42
Translational Research : the Journal of Laboratory and Clinical Medicine|April 26, 2017
Urinary long noncoding RNAs in nonmuscle-invasive bladder cancer: new architects in cancer prognostic biomarkersDaniela Terracciano, Matteo Ferro, Sara Terreri, et al.
World Journal of Urology|August 15, 2013
Visceral obesity predicts adverse pathological features in urothelial bladder cancer patients undergoing radical cystectomy: a retrospective cohort studyFrancesco Cantiello, Antonio Cicione, Riccardo Autorino, et al.
Urologic Oncology|June 10, 2018
Prognostic role of pretreatment neutrophil-to-lymphocyte ratio (NLR) in patients with non-muscle-invasive bladder cancer (NMIBC): A systematic review and meta-analysisMihai Dorin Vartolomei, Daniel Porav-Hodade, Matteo Ferro, et al.
Urology|February 12, 2011
Inhibitory effect of standardized cannabis sativa extract and its ingredient cannabidiol on rat and human bladder contractilityRaffaele Capasso, Gabriella Aviello, Francesca Borrelli, et al.
Expert Opinion on Biological Therapy|December 16, 2014
The epidermal growth factor receptors as biological targets in penile cancerGiuseppe Di Lorenzo, Carlo Buonerba, Matteo Ferro, et al.
Diagnostics (Basel, Switzerland)|August 7, 2021
Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on "Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. <i>Diagnostics</i> 2021, <i>11</i>, 335"Francesco Gentile, Matteo Ferro, Bartolomeo Della Ventura, et al.
Clinical Genitourinary Cancer|May 24, 2022
A Combinatorial Neural Network Analysis Reveals a Synergistic Behaviour of Multiparametric Magnetic Resonance and Prostate Health Index in the Identification of Clinically Significant Prostate CancerFrancesco Gentile, Evelina La Civita, Bartolomeo Della Ventura, et al.
Journal of Basic and Clinical Physiology and Pharmacology|March 18, 2023
Inguinal lymphadenectomy in penile cancer patients: a comparison between open and video endoscopic approach in a multicenter settingMaida Bada, Felice Crocetto, Peter Nyirady, et al.
Nutrients|September 28, 2023
Prostate Cancer Severity in Relation to Level of Food ProcessingSalvatore Sciacca, Arturo Lo Giudice, Maria Giovanna Asmundo, et al.
Expert Review of Molecular Diagnostics|July 16, 2015
Metabolomic profiling for the identification of novel diagnostic markers in prostate cancerGiuseppe Lucarelli, Monica Rutigliano, Vanessa Galleggiante, et al.
Pageof 42