Gregorio Moro

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BACKGROUND The aim of this work is to develop an algorithm to predict recurrence in prostate cancer patients treated with radical radiotherapy, getting up to a prognostic power higher than traditional D'Amico risk classification. METHODS Two thousand four hundred ninety-three men belonging to the EUREKA-2 retrospective multi-centric database on prostate(More)
One hour, high resolution 12-lead ECG recordings were digitally obtained from 10 patients with frequent isolated premature ventricular contraction (PVCs >100/hr). Recordings were processed and single beats were automatically annotated. For each lead one record per beat was generated with 102 quantitative attributes of ECG waveform For each recording, two(More)
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