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Gentile F, La Civita E, Ventura BD, Ferro M, Bruzzese D, Crocetto F, Tennstedt P, Steuber T, Velotta R, Terracciano D. 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. Cancers. 2023; 15(5):1355. https://doi.org/10.3390/cancers15051355

Gentile, Francesco, Evelina La Civita, Bartolomeo Della Ventura, Matteo Ferro, Dario Bruzzese, Felice Crocetto, Pierre Tennstedt, Thomas Steuber, Raffaele Velotta, and Daniela Terracciano. 2023. "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" Cancers 15, no. 5: 1355. https://doi.org/10.3390/cancers15051355

Gentile, F., La Civita, E., Ventura, B. D., Ferro, M., Bruzzese, D., Crocetto, F., Tennstedt, P., Steuber, T., Velotta, R., & Terracciano, D. (2023). 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. Cancers, 15(5), 1355. https://doi.org/10.3390/cancers15051355