An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study von Laino, Maria Elena, Generali, Elena, Tommasini, Tobia, Angelotti, Giovanni, Aghemo, Alessio, Desai, Antonio, Morandini, Pierandrea, Stefanini, Giulio G, Lleo, Ana, Voza, Antonio, Savevski, Victor

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Artificial intelligence processing electronic health records to identify commonalities and comorbidities cluster at Immuno Center Humanitas von Morandini, Pierandrea, Laino, Maria Elena, Paoletti, Giovanni, Carlucci, Alessandro, Tommasini, Tobia, Angelotti, Giovanni, Pepys, Jack, Canonica, Giorgio Walter, Heffler, Enrico, Savevski, Victor, Puggioni, Francesca

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Machine Learning Prediction Model to Predict Length of Stay of Patients Undergoing Hip or Knee Arthroplasties: Results from a High-Volume Single-Center Multivariate Analysis von Di Matteo, Vincenzo, Tommasini, Tobia, Morandini, Pierandrea, Savevski, Victor, Grappiolo, Guido, Loppini, Mattia

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The role of anti-hypertensive treatment, comorbidities and early introduction of LMWH in the setting of COVID-19: A retrospective, observational study in Northern Italy von Desai, Antonio, Voza, Giuseppe, Paiardi, Silvia, Teofilo, Francesca Ilaria, Caltagirone, Giuseppe, Pons, Marta Ripoll, Aloise, Monia, Kogan, Maria, Tommasini, Tobia, Savevski, Victor, Stefanini, Giulio, Angelini, Claudio, Ciccarelli, Michele, Badalamenti, Salvatore, De Nalda, Ana Lleo, Aghemo, Alessio, Cecconi, Maurizio, Martinelli Boneschi, Filippo, Voza, Antonio

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Synthetic Data Generation By Artificial Intelligence to Accelerate Translational Research and Precision Medicine in Hematological Malignancies von D'Amico, Saverio, Sauta, Elisabetta, Bersanelli, Matteo, Dall'Olio, Daniele, Sala, Claudia, Dall'Olio, Lorenzo, Morandini, Pierandrea, Tommasini, Tobia, Bicchieri, Marilena, Zampini, Matteo, Savevski, Victor, Prada-Luengo, Iñigo, Krogh, Anders, Platzbecker, Uwe, Diez-Campelo, Maria, Santini, Valeria, Fenaux, Pierre, Haferlach, Torsten, Gastone, Castellani, Della Porta, Matteo G.

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Multi-Modal Analysis and Federated Learning Approach for Classification and Personalized Prognostic Assessment in Myeloid Neoplasms von D'Amico, Saverio, Dall'Olio, Lorenzo, Rollo, Cesare, Alonso, Patricia, Prada-Luengo, Iñigo, Dall'Olio, Daniele, Sala, Claudia, Bersanelli, Matteo, Sauta, Elisabetta, Bicchieri, Marilena, Morandini, Pierandrea, Tommasini, Tobia, Savevski, Victor, Zhao, Lin-Pierre, Platzbecker, Uwe, Diez-Campelo, Maria, Santini, Valeria, Fenaux, Pierre, Haferlach, Torsten, Krogh, Anders, Zazo, Santiago, Fariselli, Piero, Sanavia, Tiziana, Della Porta, Matteo G., Gastone, Castellani

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