Sfoglia per Titolo
M1-polarized macrophages as predictor of poor response to trabectedin treatment in myxoid liposarcoma
2016-01-01 Vincenzi, Bruno; Fioramonti, Marco; Iuliani, Michele; Pantano, Francesco; Ribelli, Giulia; Santini, Daniele; Tonini, Giuseppe
Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers
2022-01-01 Farinella, F.; Merone, M.; Bacco, L.; Capirchio, A.; Ciccozzi, M.; Caligiore, D.
Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction
2022-01-01 Travaini, G. V.; Pacchioni, F.; Bellumore, S.; Bosia, M.; De Micco, F.
A machine learning approach for sentiment analysis for Italian reviews in healthcare
2020-01-01 Bacco, L.; Cimino, A.; Paulon, L.; Merone, M.; Dell'Orletta, F.
A machine learning approach to identify clusters of patients with different Breakthrough cancer Pain (BTcP) clinical features and specific opioids response
2020-07-09 Armento, Grazia
Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes
2022-01-01 Biggio, Monica; Caligiore, Daniele; D'Antoni, Federico; Bove, Marco; Merone, Mario
Machine learning for predicting levetiracetam treatment response in temporal lobe epilepsy
2021-01-01 Croce, Pierpaolo; Ricci, Lorenzo; Pulitano, Patrizia; Boscarino, Marilisa; Zappasodi, Filippo; Lanzone, Jacopo; Narducci, Flavia; Mecarelli, Oriano; Di Lazzaro, Vincenzo; Tombini, Mario; Assenza, Giovanni
Machine Learning for Threat Recognition in Critical Cyber-Physical Systems
2021-01-01 Perrone, Paola; Flammini, Francesco; Setola, Roberto
Machine learning in primary biliary cholangitis: A novel approach for risk stratification
2022-01-01 Gerussi, A.; Verda, D.; Bernasconi, D. P.; Carbone, M.; Komori, A.; Abe, M.; Inao, M.; Namisaki, T.; Mochida, S.; Yoshiji, H.; Hirschfield, G.; Lindor, K.; Pares, A.; Corpechot, C.; Cazzagon, N.; Floreani, A.; Marzioni, M.; Alvaro, D.; Vespasiani Gentilucci, U.; Cristoferi, L.; Valsecchi, M. G.; Muselli, M.; Hansen, B. E.; Tanaka, A.; Invernizzi, P.
A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings
2021-01-01 Stokes, K.; Castaldo, R.; Franzese, M.; Salvatore, M.; Fico, G.; Pokvic, L. G.; Badnjevic, A.; Pecchia, L.
A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis
2020-01-01 Navarini, Luca; Sperti, Michela; Currado, Damiano; Costa, Luisa; Deriu, Marco A; Margiotta, Domenico Paolo Emanuele; Tasso, Marco; Scarpa, Raffaele; Afeltra, Antonella; Caso, Francesco
Machine/Animal Hybrid Controllers for Space Applications - Final Report
2008-01-01 A. Benvenuto, G. Di Pino; Sergi, F.; Campolo, D.; Accoto, D; Assenza, G.; Rossini, P. M.; Guglielmelli, E.
Macitentan inhibits the transforming growth factor-β profibrotic action, blocking the signaling mediated by the ETR/TβRI complex in systemic sclerosis dermal fibroblasts
2015-01-01 Cipriani, Paola; DI BENEDETTO, Paola; Ruscitti, Piero; Verzella, Daniela; Fischietti, Mariafausta; Zazzeroni, Francesca; Liakouli, Vasiliki; Carubbi, Francesco; Berardicurti, Onorina; Alesse, Edoardo; Giacomelli, Roberto
Macrolide resistance genotypes and phenotypes among erythromycin-resistant clinical isolates of Staphylococcus aureus and coagulase-negative staphylococci, Italy
2009-01-01 Gherardi, G; DE FLORIO, L; Lorino, G; Fico, L; Dicuonzo, G
Macrophage activation syndrome in patients affected by adult-onset still disease: Analysis of survival rates and predictive factors in the Gruppo Italiano di Ricerca in reumatologia clinica e sperimentale cohort
2018-01-01 Ruscitti, Piero; Iacono, Daniela; Ciccia, Francesco; Emmi, Giacomo; Cipriani, Paola; Grembiale, Rosa Daniela; Perosa, Federico; Emmi, Lorenzo; Triolo, Giovanni; Giacomelli, Roberto; Valentini, Gabriele
Macrophage activation syndrome in Still's disease: analysis of clinical characteristics and survival in paediatric and adult patients.
2017-01-01 Ruscitti, Piero; Rago, Carmela; Breda, Luciana; Cipriani, Paola; Liakouli, Vasiliki; Berardicurti, Onorina; Carubbi, Francesco; Di Battista, Caterina; Verrotti, Alberto; Giacomelli, Roberto.
Macrophage Plasticity and Polarization Are Altered in the Experimental Model of Multiple Sclerosis
2021-01-01 Leuti, Alessandro; Talamonti, Emanuela; Gentile, Antonietta; Tiberi, Marta; Matteocci, Alessandro; Fresegna, Diego; Centonze, Diego; Chiurchiù, Valerio
Macrophages with regulatory functions, a possible new therapeutic perspective in autoimmune diseases
2019-01-01 Di Benedetto, Paola; Ruscitti, P; Vadasz, Z; Toubi, E; Giacomelli, R
"Madonna of the carnation": Leonardo da Vinci (1452-1519)
2018-01-01 Lazzeri, D; Pozzilli, P
Maestri della cura: alla ricerca di una nuova identità
2016-01-01 Tartaglini, D
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| M1-polarized macrophages as predictor of poor response to trabectedin treatment in myxoid liposarcoma | 1-gen-2016 | Vincenzi, Bruno; Fioramonti, Marco; Iuliani, Michele; Pantano, Francesco; Ribelli, Giulia; Santini, Daniele; Tonini, Giuseppe | |
| Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers | 1-gen-2022 | Farinella, F.; Merone, M.; Bacco, L.; Capirchio, A.; Ciccozzi, M.; Caligiore, D. | |
| Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction | 1-gen-2022 | Travaini, G. V.; Pacchioni, F.; Bellumore, S.; Bosia, M.; De Micco, F. | |
| A machine learning approach for sentiment analysis for Italian reviews in healthcare | 1-gen-2020 | Bacco, L.; Cimino, A.; Paulon, L.; Merone, M.; Dell'Orletta, F. | |
| A machine learning approach to identify clusters of patients with different Breakthrough cancer Pain (BTcP) clinical features and specific opioids response | 9-lug-2020 | Armento, Grazia | |
| Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes | 1-gen-2022 | Biggio, Monica; Caligiore, Daniele; D'Antoni, Federico; Bove, Marco; Merone, Mario | |
| Machine learning for predicting levetiracetam treatment response in temporal lobe epilepsy | 1-gen-2021 | Croce, Pierpaolo; Ricci, Lorenzo; Pulitano, Patrizia; Boscarino, Marilisa; Zappasodi, Filippo; Lanzone, Jacopo; Narducci, Flavia; Mecarelli, Oriano; Di Lazzaro, Vincenzo; Tombini, Mario; Assenza, Giovanni | |
| Machine Learning for Threat Recognition in Critical Cyber-Physical Systems | 1-gen-2021 | Perrone, Paola; Flammini, Francesco; Setola, Roberto | |
| Machine learning in primary biliary cholangitis: A novel approach for risk stratification | 1-gen-2022 | Gerussi, A.; Verda, D.; Bernasconi, D. P.; Carbone, M.; Komori, A.; Abe, M.; Inao, M.; Namisaki, T.; Mochida, S.; Yoshiji, H.; Hirschfield, G.; Lindor, K.; Pares, A.; Corpechot, C.; Cazzagon, N.; Floreani, A.; Marzioni, M.; Alvaro, D.; Vespasiani Gentilucci, U.; Cristoferi, L.; Valsecchi, M. G.; Muselli, M.; Hansen, B. E.; Tanaka, A.; Invernizzi, P. | |
| A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings | 1-gen-2021 | Stokes, K.; Castaldo, R.; Franzese, M.; Salvatore, M.; Fico, G.; Pokvic, L. G.; Badnjevic, A.; Pecchia, L. | |
| A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis | 1-gen-2020 | Navarini, Luca; Sperti, Michela; Currado, Damiano; Costa, Luisa; Deriu, Marco A; Margiotta, Domenico Paolo Emanuele; Tasso, Marco; Scarpa, Raffaele; Afeltra, Antonella; Caso, Francesco | |
| Machine/Animal Hybrid Controllers for Space Applications - Final Report | 1-gen-2008 | A. Benvenuto, G. Di Pino; Sergi, F.; Campolo, D.; Accoto, D; Assenza, G.; Rossini, P. M.; Guglielmelli, E. | |
| Macitentan inhibits the transforming growth factor-β profibrotic action, blocking the signaling mediated by the ETR/TβRI complex in systemic sclerosis dermal fibroblasts | 1-gen-2015 | Cipriani, Paola; DI BENEDETTO, Paola; Ruscitti, Piero; Verzella, Daniela; Fischietti, Mariafausta; Zazzeroni, Francesca; Liakouli, Vasiliki; Carubbi, Francesco; Berardicurti, Onorina; Alesse, Edoardo; Giacomelli, Roberto | |
| Macrolide resistance genotypes and phenotypes among erythromycin-resistant clinical isolates of Staphylococcus aureus and coagulase-negative staphylococci, Italy | 1-gen-2009 | Gherardi, G; DE FLORIO, L; Lorino, G; Fico, L; Dicuonzo, G | |
| Macrophage activation syndrome in patients affected by adult-onset still disease: Analysis of survival rates and predictive factors in the Gruppo Italiano di Ricerca in reumatologia clinica e sperimentale cohort | 1-gen-2018 | Ruscitti, Piero; Iacono, Daniela; Ciccia, Francesco; Emmi, Giacomo; Cipriani, Paola; Grembiale, Rosa Daniela; Perosa, Federico; Emmi, Lorenzo; Triolo, Giovanni; Giacomelli, Roberto; Valentini, Gabriele | |
| Macrophage activation syndrome in Still's disease: analysis of clinical characteristics and survival in paediatric and adult patients. | 1-gen-2017 | Ruscitti, Piero; Rago, Carmela; Breda, Luciana; Cipriani, Paola; Liakouli, Vasiliki; Berardicurti, Onorina; Carubbi, Francesco; Di Battista, Caterina; Verrotti, Alberto; Giacomelli, Roberto. | |
| Macrophage Plasticity and Polarization Are Altered in the Experimental Model of Multiple Sclerosis | 1-gen-2021 | Leuti, Alessandro; Talamonti, Emanuela; Gentile, Antonietta; Tiberi, Marta; Matteocci, Alessandro; Fresegna, Diego; Centonze, Diego; Chiurchiù, Valerio | |
| Macrophages with regulatory functions, a possible new therapeutic perspective in autoimmune diseases | 1-gen-2019 | Di Benedetto, Paola; Ruscitti, P; Vadasz, Z; Toubi, E; Giacomelli, R | |
| "Madonna of the carnation": Leonardo da Vinci (1452-1519) | 1-gen-2018 | Lazzeri, D; Pozzilli, P | |
| Maestri della cura: alla ricerca di una nuova identità | 1-gen-2016 | Tartaglini, D |
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