Sfoglia per Titolo
Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus
2022-01-01 Salgado, Álvaro; Melo-Minardi, Raquel C. de; Giovanetti, Marta; Veloso, Adriano; Morais-Rodrigues, Francielly; Adelino, Talita; de Jesus, Ronaldo; Tosta, Stephane; Azevedo, Vasco; Lourenco, José; Alcantara, Luiz Carlos J.
Machine Learning Operations (MLOps) in Healthcare
2024-11-28 Testi, Matteo
Machine learning predicts pulmonary Long Covid sequelae using clinical data
2024-01-01 Cordelli, E.; Soda, P.; Citter, S.; Schiavon, E.; Salvatore, C.; Fazzini, D.; Clementi, G.; Cellina, M.; Cozzi, A.; Bortolotto, C.; Preda, L.; Francini, L.; Tortora, M.; Castiglioni, I.; Papa, S.; Sona, D.; Ali, M.
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-Learning Approaches For Deciphering The Human Editome
2025-06-03 Mazzacuva, Pietro Luca
Machine-learning models for shoulder rehabilitation exercises classification using a wearable system
2024-01-01 Sassi, M.; Carnevale, A.; Mancuso, M.; Schena, E.; Pecchia, L.; Longo, U. G.
Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: A multi-institutional study
2024-01-01 Cilla, S.; Campitelli, M.; Antonietta Gambacorta, M.; Michela Rinaldi, R.; Deodato, F.; Pezzulla, D.; Romano, C.; Fodor, A.; Laliscia, C.; Trippa, F.; De Sanctis, V.; Ippolito, E.; Ferioli, M.; Titone, F.; Russo, D.; Balcet, V.; Vicenzi, L.; Di Cataldo, V.; Raguso, A.; Giuseppe Morganti, A.; Ferrandina, G.; Macchia, G.
A machine-learning-based approach to solve both contact location and force in soft material tactile sensors
2020-01-01 Massari, L; Schena, E; Massaroni, C; Saccomandi, P; Menciassi, A; Sinibaldi, E; Oddo, Cm
The machine-like repair of aging. Disentangling the key assumptions of the SENS agenda
2022-01-01 García-Barranquero, Pablo; Bertolaso, Marta
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
Magnesium as an Endocrine Modulator: Physiological Roles, Clinical Evidence, and Therapeutic Perspectives
2026-01-01 Palermo, Andrea; Naciu, Anda Mihaela; Zavatta, Guido; Sargentini, Eleonora; Menale, Ciro; Yavropoulou, Maria P; Cipriani, Cristiana; Tabacco, Gaia; Anastasilakis, Athanasios D
Magnesium: are we better off without it?
2013-01-01 Pantano, F; Vincenzi, B; Santini, D; Tonini, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus | 1-gen-2022 | Salgado, Álvaro; Melo-Minardi, Raquel C. de; Giovanetti, Marta; Veloso, Adriano; Morais-Rodrigues, Francielly; Adelino, Talita; de Jesus, Ronaldo; Tosta, Stephane; Azevedo, Vasco; Lourenco, José; Alcantara, Luiz Carlos J. | |
| Machine Learning Operations (MLOps) in Healthcare | 28-nov-2024 | Testi, Matteo | |
| Machine learning predicts pulmonary Long Covid sequelae using clinical data | 1-gen-2024 | Cordelli, E.; Soda, P.; Citter, S.; Schiavon, E.; Salvatore, C.; Fazzini, D.; Clementi, G.; Cellina, M.; Cozzi, A.; Bortolotto, C.; Preda, L.; Francini, L.; Tortora, M.; Castiglioni, I.; Papa, S.; Sona, D.; Ali, M. | |
| 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-Learning Approaches For Deciphering The Human Editome | 3-giu-2025 | Mazzacuva, Pietro Luca | |
| Machine-learning models for shoulder rehabilitation exercises classification using a wearable system | 1-gen-2024 | Sassi, M.; Carnevale, A.; Mancuso, M.; Schena, E.; Pecchia, L.; Longo, U. G. | |
| Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: A multi-institutional study | 1-gen-2024 | Cilla, S.; Campitelli, M.; Antonietta Gambacorta, M.; Michela Rinaldi, R.; Deodato, F.; Pezzulla, D.; Romano, C.; Fodor, A.; Laliscia, C.; Trippa, F.; De Sanctis, V.; Ippolito, E.; Ferioli, M.; Titone, F.; Russo, D.; Balcet, V.; Vicenzi, L.; Di Cataldo, V.; Raguso, A.; Giuseppe Morganti, A.; Ferrandina, G.; Macchia, G. | |
| A machine-learning-based approach to solve both contact location and force in soft material tactile sensors | 1-gen-2020 | Massari, L; Schena, E; Massaroni, C; Saccomandi, P; Menciassi, A; Sinibaldi, E; Oddo, Cm | |
| The machine-like repair of aging. Disentangling the key assumptions of the SENS agenda | 1-gen-2022 | García-Barranquero, Pablo; Bertolaso, Marta | |
| 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 | |
| Magnesium as an Endocrine Modulator: Physiological Roles, Clinical Evidence, and Therapeutic Perspectives | 1-gen-2026 | Palermo, Andrea; Naciu, Anda Mihaela; Zavatta, Guido; Sargentini, Eleonora; Menale, Ciro; Yavropoulou, Maria P; Cipriani, Cristiana; Tabacco, Gaia; Anastasilakis, Athanasios D | |
| Magnesium: are we better off without it? | 1-gen-2013 | Pantano, F; Vincenzi, B; Santini, D; Tonini, G. |
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