Sfoglia per Autore Fabbri, Rachele
Gut microbiota and artificial intelligence approaches: A scoping review
2020 Iadanza, Ernesto; Fabbri, Rachele; Bašić-ČiČak, Džana; Amedei, Amedeo; Telalovic, Jasminka Hasic
A collaborative RESTful cloud-based tool for management of chromatic pupillometry in a clinical trial
2020 Ernesto Iadanza, Rachele Fabbri, Alessio Luschi, Paolo Melillo, Francesca Simonelli
Modeling of Pupillometric Signals for Studying Children’s Rare Diseases
2021 Fabbri R.; Iadanza E.; Gherardelli M.; Melillo P.; Simonelli F.; Bocchi L.
A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy
2021 Hasic Telalovic, Jasminka; Pillozzi, Serena; Fabbri, Rachele; Laffi, Alice; Lavacchi, Daniele; Rossi, Virginia; Dreoni, Lorenzo; Spada, Francesca; Fazio, Nicola; Amedei, Amedeo; Iadanza, Ernesto; Antonuzzo, Lorenzo
A Model of Pupillometric Signals for Studying Inherited Retinal Diseases in Childhood Population
2021 Daniele Ermini, Rachele Fabbri, Ernesto Iadanza, Monica Gherardelli, Paolo Melillo, Leonardo Bocchi
Analysis of Brain-Heart Interactions in newborns with and without seizures using the Convergent Cross Mapping approach
2022 Frassineti, Lorenzo; Manfredi, Claudia; Ermini, Daniele; Fabbri, Rachele; Olmi, Benedetta; Lanata, Antonio
Machine learning for analysis of gene expression data in fast- and slow-progressing amyotrophic lateral sclerosis murine models
2022 Iadanza E.; Fabbri R.; Goretti F.; Nardo G.; Niccolai E.; Bendotti C.; Amedei A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Gut microbiota and artificial intelligence approaches: A scoping review | 2020 | Iadanza, Ernesto; Fabbri, Rachele; Bašić-ČiČak, Džana; Amedei, Amedeo; Telalovic, Jasminka Hasic | |
| A collaborative RESTful cloud-based tool for management of chromatic pupillometry in a clinical trial | 2020 | Ernesto Iadanza, Rachele Fabbri, Alessio Luschi, Paolo Melillo, Francesca Simonelli | |
| Modeling of Pupillometric Signals for Studying Children’s Rare Diseases | 2021 | Fabbri R.; Iadanza E.; Gherardelli M.; Melillo P.; Simonelli F.; Bocchi L. | |
| A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy | 2021 | Hasic Telalovic, Jasminka; Pillozzi, Serena; Fabbri, Rachele; Laffi, Alice; Lavacchi, Daniele; Rossi, Virginia; Dreoni, Lorenzo; Spada, Francesca; Fazio, Nicola; Amedei, Amedeo; Iadanza, Ernesto; Antonuzzo, Lorenzo | |
| A Model of Pupillometric Signals for Studying Inherited Retinal Diseases in Childhood Population | 2021 | Daniele Ermini, Rachele Fabbri, Ernesto Iadanza, Monica Gherardelli, Paolo Melillo, Leonardo Bocchi | |
| Analysis of Brain-Heart Interactions in newborns with and without seizures using the Convergent Cross Mapping approach | 2022 | Frassineti, Lorenzo; Manfredi, Claudia; Ermini, Daniele; Fabbri, Rachele; Olmi, Benedetta; Lanata, Antonio | |
| Machine learning for analysis of gene expression data in fast- and slow-progressing amyotrophic lateral sclerosis murine models | 2022 | Iadanza E.; Fabbri R.; Goretti F.; Nardo G.; Niccolai E.; Bendotti C.; Amedei A. |
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