Sfoglia per Autore Fabbri, Rachele
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
Gut microbiota and artificial intelligence approaches: A scoping review
2020 Iadanza, Ernesto; Fabbri, Rachele; Bašić-ČiČak, Džana; Amedei, Amedeo; Telalovic, Jasminka Hasic
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
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.
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
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
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 | |
Gut microbiota and artificial intelligence approaches: A scoping review | 2020 | Iadanza, Ernesto; Fabbri, Rachele; Bašić-ČiČak, Džana; Amedei, Amedeo; Telalovic, Jasminka Hasic | |
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 | |
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. | |
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 |
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