Sfoglia per Autore
From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models
2024-01-01 Amparore, Elvio; Beccuti, Marco; Castagno, Paolo; Pernice, Simone; Franceschinis, Giuliana; Pennisi, Marzio
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
2023-01-01 Bottrighi, Alessio; Pennisi, Marzio
Exploiting Structural Dependency Relations for Efficient Agent Based Model Simulation
2023-01-01 Pennisi, Marzio; Amparore, Elvio G.; Franceschinis, Giuliana
Intelligenza Artificiale in Medicina presso il Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale
2022-01-01 Bottrighi, Alessio; Canonico, Massimo; Giordano, Laura; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Pennisi, MARZIO ALFIO; Piovesan, Luca; Portinale, Luigi; Striani, Manuel; Terenziani, Paolo; THESEIDER DUPRE', Daniele
A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2
2022-01-01 Bottrighi, Alessio; Pennisi, Marzio; Roveta, Annalisa; Massarino, Costanza; Cassinari, Antonella; Betti, Marta; Bolgeo, Tatiana; Bertolotti, Marinella; Rava, Emanuele; Maconi, Antonio
A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: A machine learning approach
2021-01-01 Betti, M.; Bertolotti, M.; Bolgeo, T.; Bottrighi, A.; Cassinari, A.; Maconi, A.; Massarino, C.; Pennisi, M.; Rava, E.; Roveta, A.
A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations
2021-01-01 Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S.
Multiformalism modeling and simulation of immune system mechanisms
2021-01-01 Amparore, E. G.; Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S.
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization
2020-01-01 Totis, N.; Tagherloni, A.; Beccuti, M.; Cazzaniga, P.; Nobile, M. S.; Besozzi, D.; Pennisi, M.; Pappalardo, Francesco
The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis
2020-01-01 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide
Credibility of In Silico Trial Technologies - A Theoretical Framing
2020-01-01 Viceconti, Marco; Juarez, Miguel; Curreli, Cristina; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco
Multiple sclerosis disease: A computational approach for investigating its drug interactions
2020-01-01 Pernice, S.; Beccuti, M.; Romano, G.; Pennisi, M.; Maglione, A.; Cutrupi, S.; Pappalardo, F.; Capra, L.; Franceschinis, G.; De Pierro, M.; Balbo, G.; Cordero, F.; Calogero, R.
Gene Silencing of Transferrin-1 Receptor as a Potential Therapeutic Target for Human Follicular and Anaplastic Thyroid Cancer
2020-01-01 Campisi, A.; Bonfanti, R.; Raciti, G.; Bonaventura, G.; Legnani, L.; Magro, G.; Pennisi, M.; Russo, Giulia.; Chiacchio, M. A.; Pappalardo, F.; Parenti, R.
Generation of digital patients for the simulation of tuberculosis with UISS-TB
2019-01-01 Pennisi, Marzio; Juarez, Miguel A.; Russo, Giulia; Viceconti, Marco; Pappalardo, Francesco
Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator
2019-01-01 Russo, Giulia; Pappalardo, Francesco; Juarez, Miguel A.; Pennisi, Marzio; Cardona, Pere Joan; Coler, Rhea; Fichera, Epifanio; Viceconti, Marco
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis
2019-01-01 Beccuti, Marco; Cazzaniga, Paolo; Pennisi, Marzio; Besozzi, Daniela; Nobile, Marco S.; Pernice, Simone; Russo, Giulia; Tangherloni, Andrea; Pappalardo, Francesco
Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells
2019-01-01 Gianì, Fiorenza; Russo, Giulia; Pennisi, Marzio; Sciacca, Laura; Frasca, Francesco; Pappalardo, Francesco
Toward computational modelling on immune system function
2019-01-01 Pappalardo, Francesco; Pennisi, Marzio; Reche, Pedro A; Russo, Giulia
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS)
2019-01-01 Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates
2019-01-01 Palumbo, Giuseppe Alessandro Parasiliti; Biondi, Pietro; Sgroi, Giuseppe; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models | 1-gen-2024 | Amparore, Elvio; Beccuti, Marco; Castagno, Paolo; Pernice, Simone; Franceschinis, Giuliana; Pennisi, Marzio | |
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community | 1-gen-2023 | Bottrighi, Alessio; Pennisi, Marzio | |
Exploiting Structural Dependency Relations for Efficient Agent Based Model Simulation | 1-gen-2023 | Pennisi, Marzio; Amparore, Elvio G.; Franceschinis, Giuliana | |
Intelligenza Artificiale in Medicina presso il Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale | 1-gen-2022 | Bottrighi, Alessio; Canonico, Massimo; Giordano, Laura; Guazzone, Marco; Leonardi, Giorgio; Montani, Stefania; Pennisi, MARZIO ALFIO; Piovesan, Luca; Portinale, Luigi; Striani, Manuel; Terenziani, Paolo; THESEIDER DUPRE', Daniele | |
A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2 | 1-gen-2022 | Bottrighi, Alessio; Pennisi, Marzio; Roveta, Annalisa; Massarino, Costanza; Cassinari, Antonella; Betti, Marta; Bolgeo, Tatiana; Bertolotti, Marinella; Rava, Emanuele; Maconi, Antonio | |
A Preliminary Analysis of Hospitalized Covid-19 Patients in Alessandria Area: A machine learning approach | 1-gen-2021 | Betti, M.; Bertolotti, M.; Bolgeo, T.; Bottrighi, A.; Cassinari, A.; Maconi, A.; Massarino, C.; Pennisi, M.; Rava, E.; Roveta, A. | |
A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations | 1-gen-2021 | Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S. | |
Multiformalism modeling and simulation of immune system mechanisms | 1-gen-2021 | Amparore, E. G.; Beccuti, M.; Castagno, P.; Franceschinis, G.; Pennisi, M.; Pernice, S. | |
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization | 1-gen-2020 | Totis, N.; Tagherloni, A.; Beccuti, M.; Cazzaniga, P.; Nobile, M. S.; Besozzi, D.; Pennisi, M.; Pappalardo, Francesco | |
The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis | 1-gen-2020 | Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide | |
Credibility of In Silico Trial Technologies - A Theoretical Framing | 1-gen-2020 | Viceconti, Marco; Juarez, Miguel; Curreli, Cristina; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco | |
Multiple sclerosis disease: A computational approach for investigating its drug interactions | 1-gen-2020 | Pernice, S.; Beccuti, M.; Romano, G.; Pennisi, M.; Maglione, A.; Cutrupi, S.; Pappalardo, F.; Capra, L.; Franceschinis, G.; De Pierro, M.; Balbo, G.; Cordero, F.; Calogero, R. | |
Gene Silencing of Transferrin-1 Receptor as a Potential Therapeutic Target for Human Follicular and Anaplastic Thyroid Cancer | 1-gen-2020 | Campisi, A.; Bonfanti, R.; Raciti, G.; Bonaventura, G.; Legnani, L.; Magro, G.; Pennisi, M.; Russo, Giulia.; Chiacchio, M. A.; Pappalardo, F.; Parenti, R. | |
Generation of digital patients for the simulation of tuberculosis with UISS-TB | 1-gen-2019 | Pennisi, Marzio; Juarez, Miguel A.; Russo, Giulia; Viceconti, Marco; Pappalardo, Francesco | |
Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator | 1-gen-2019 | Russo, Giulia; Pappalardo, Francesco; Juarez, Miguel A.; Pennisi, Marzio; Cardona, Pere Joan; Coler, Rhea; Fichera, Epifanio; Viceconti, Marco | |
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis | 1-gen-2019 | Beccuti, Marco; Cazzaniga, Paolo; Pennisi, Marzio; Besozzi, Daniela; Nobile, Marco S.; Pernice, Simone; Russo, Giulia; Tangherloni, Andrea; Pappalardo, Francesco | |
Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells | 1-gen-2019 | Gianì, Fiorenza; Russo, Giulia; Pennisi, Marzio; Sciacca, Laura; Frasca, Francesco; Pappalardo, Francesco | |
Toward computational modelling on immune system function | 1-gen-2019 | Pappalardo, Francesco; Pennisi, Marzio; Reche, Pedro A; Russo, Giulia | |
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS) | 1-gen-2019 | Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco | |
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates | 1-gen-2019 | Palumbo, Giuseppe Alessandro Parasiliti; Biondi, Pietro; Sgroi, Giuseppe; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile