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Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels

Author / Creator:Ferre-Giraldo, Adriana ; Castells, Manel ; Sánchez-Herrero, José Francisco ; López-Rodrigo, Olga ; de Rocco-Ponce, Maurizio ; Bassas, Lluís ; Vigués, Francesc ; Sumoy, Lauro ; Larriba, Sara

Publisher:Switzerland: MDPI AG

Journal title:International journal of molecular sciences, 2024-09, Vol.25 (18), p.10122

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Semen sEV tRF-Based Models Increase Non-Invasive Prediction Accuracy of Clinically Significant Prostate Cancer among Patients with Moderately Altered PSA Levels

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