NICORA, GIOVANNA
NICORA, GIOVANNA
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
A comparison of eVai, CADD and VVP variant prediction results on the ICR639 hereditary cancer dataset
2019-01-01 Nicora, G.; Limongelli, I.; Zucca, S.; Santolisier, R.; Magni, P.; Bellazzi, R.
A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data
2020-01-01 Nicora, G.; Moretti, F.; Sauta, E.; Della Porta, M.; Malcovati, L.; Cazzola, M.; Quaglini, S.; Bellazzi, R.
A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization
2022-01-01 Nicora, G.; Zucca, S.; Limongelli, I.; Bellazzi, R.; Magni, P.
A machine learning approach for the detection of incidental findings in genetic testing
2023-01-01 Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S.
A machine learning approach for the detection of incidental findings in genetic testing
2023-01-01 Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S.
A rule-based expert system for automatic implementation of somatic variant clinical interpretation guidelines
2019-01-01 Nicora, G.; Limongelli, I.; Cova, R.; Della Porta, M. G.; Malcovati, L.; Cazzola, M.; Bellazzi, R.
A semi-supervised learning approach for pan-cancer somatic genomic variant classification
2019-01-01 Nicora, G.; Marini, S.; Limongelli, I.; Rizzo, E.; Montoli, S.; Tricomi, F. F.; Bellazzi, R.
An automatic implementation of ACMG/ClinGen guidelines for constitutional Copy Number Variants annotation and interpretation
2020-01-01 De Paoli, F.; Limongelli, I.; Rizzo, E.; Nicora, G.; Magni, P.
Artificial intelligence and machine learning: just a hype or a new opportunity for pharmacometrics?
2019-01-01 Bartolucci, R.; Grandoni, S.; Melillo, N.; Nicora, G.; Sauta, E.; Tosca, E. M.; Magni, P.
CardioVAI: An automatic implementation of ACMG-AMP variant interpretation guidelines in the diagnosis of cardiovascular diseases
2018-01-01 Nicora, Giovanna; Limongelli, Ivan; Gambelli, Patrick; Memmi, Mirella; Malovini, Alberto; Mazzanti, Andrea; Napolitano, Carlo; Priori, Silvia; Bellazzi, Riccardo
Correlation between PD-L1 Expression of Non-Small Cell Lung Cancer and Data from IVIM-DWI Acquired during Magnetic Resonance of the Thorax: Preliminary Results
2022-01-01 Bortolotto, Chandra; Stella, Giulia Maria; Messana, Gaia; Lo Tito, Antonio; Podrecca, Chiara; Nicora, Giovanna; Bellazzi, Riccardo; Gerbasi, Alessia; Agustoni, Francesco; Grimm, Robert; Zacà, Domenico; Filippi, Andrea Riccardo; Bottinelli, Olivia Maria; Preda, Lorenzo
Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development
2021-01-01 Coticchio, Giovanni; Fiorentino, Giulia; Nicora, Giovanna; Sciajno, Raffaella; Cavalera, Federica; Bellazzi, Riccardo; Garagna, Silvia; Borini, Andrea; Zuccotti, Maurizio
Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning
2022-01-01 Nicora, G.; Marini, S.; Salemi, M.; Bellazzi, R.
eVai's Suggested Diagnosis feature: a new AI-based method to increase diagnostic yield in Rare Disease Patients
2022-01-01 Nicora, G.; De Paoli, F.; Limongelli, I.; Rizzo, E.; Bellazzi, R.; Magni, P.; Zucca, Susanna
Evaluating pointwise reliability of machine learning prediction
2022-01-01 Nicora, G.; Rios, M.; Abu-Hanna, A.; Bellazzi, R.
Evaluation of XAI on ALS 6-months mortality prediction
2022-01-01 Buonocore, T. M.; Nicora, G.; Dagliati, A.; Parimbelli, E.
Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools
2020-01-01 Nicora, G.; Vitali, F.; Dagliati, A.; Geifman, N.; Bellazzi, R.
MALDI mass spectrometry imaging shows a gradual change in the proteome landscape during mouse ovarian folliculogenesis
2023-01-01 Fiorentino, Giulia; Smith, Andrew; Nicora, Giovanna; Bellazzi, Riccardo; Magni, Fulvio; Garagna, Silvia; Zuccotti, Maurizio
Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa
2023-01-01 Catalano, M.; Bortolotto, C.; Nicora, G.; Achilli, M. F.; Consonni, A.; Ruongo, L.; Callea, G.; Lo Tito, A.; Biasibetti, C.; Donatelli, A.; Cutti, S.; Comotto, F.; Stella, G. M.; Corsico, A.; Perlini, S.; Bellazzi, R.; Bruno, R.; Filippi, A.; Preda, L.
Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm
2022-01-01 Nicora, G.; Salemi, M.; Marini, S.; Bellazzi, R.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A comparison of eVai, CADD and VVP variant prediction results on the ICR639 hereditary cancer dataset | 1-gen-2019 | Nicora, G.; Limongelli, I.; Zucca, S.; Santolisier, R.; Magni, P.; Bellazzi, R. | |
| A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data | 1-gen-2020 | Nicora, G.; Moretti, F.; Sauta, E.; Della Porta, M.; Malcovati, L.; Cazzola, M.; Quaglini, S.; Bellazzi, R. | |
| A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization | 1-gen-2022 | Nicora, G.; Zucca, S.; Limongelli, I.; Bellazzi, R.; Magni, P. | |
| A machine learning approach for the detection of incidental findings in genetic testing | 1-gen-2023 | Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S. | |
| A machine learning approach for the detection of incidental findings in genetic testing | 1-gen-2023 | Berardelli, S.; De Paoli, F.; Nicora, G.; Limongelli, I.; Rizzo, E.; Magni, P.; Zucca, S. | |
| A rule-based expert system for automatic implementation of somatic variant clinical interpretation guidelines | 1-gen-2019 | Nicora, G.; Limongelli, I.; Cova, R.; Della Porta, M. G.; Malcovati, L.; Cazzola, M.; Bellazzi, R. | |
| A semi-supervised learning approach for pan-cancer somatic genomic variant classification | 1-gen-2019 | Nicora, G.; Marini, S.; Limongelli, I.; Rizzo, E.; Montoli, S.; Tricomi, F. F.; Bellazzi, R. | |
| An automatic implementation of ACMG/ClinGen guidelines for constitutional Copy Number Variants annotation and interpretation | 1-gen-2020 | De Paoli, F.; Limongelli, I.; Rizzo, E.; Nicora, G.; Magni, P. | |
| Artificial intelligence and machine learning: just a hype or a new opportunity for pharmacometrics? | 1-gen-2019 | Bartolucci, R.; Grandoni, S.; Melillo, N.; Nicora, G.; Sauta, E.; Tosca, E. M.; Magni, P. | |
| CardioVAI: An automatic implementation of ACMG-AMP variant interpretation guidelines in the diagnosis of cardiovascular diseases | 1-gen-2018 | Nicora, Giovanna; Limongelli, Ivan; Gambelli, Patrick; Memmi, Mirella; Malovini, Alberto; Mazzanti, Andrea; Napolitano, Carlo; Priori, Silvia; Bellazzi, Riccardo | |
| Correlation between PD-L1 Expression of Non-Small Cell Lung Cancer and Data from IVIM-DWI Acquired during Magnetic Resonance of the Thorax: Preliminary Results | 1-gen-2022 | Bortolotto, Chandra; Stella, Giulia Maria; Messana, Gaia; Lo Tito, Antonio; Podrecca, Chiara; Nicora, Giovanna; Bellazzi, Riccardo; Gerbasi, Alessia; Agustoni, Francesco; Grimm, Robert; Zacà, Domenico; Filippi, Andrea Riccardo; Bottinelli, Olivia Maria; Preda, Lorenzo | |
| Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development | 1-gen-2021 | Coticchio, Giovanni; Fiorentino, Giulia; Nicora, Giovanna; Sciajno, Raffaella; Cavalera, Federica; Bellazzi, Riccardo; Garagna, Silvia; Borini, Andrea; Zuccotti, Maurizio | |
| Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning | 1-gen-2022 | Nicora, G.; Marini, S.; Salemi, M.; Bellazzi, R. | |
| eVai's Suggested Diagnosis feature: a new AI-based method to increase diagnostic yield in Rare Disease Patients | 1-gen-2022 | Nicora, G.; De Paoli, F.; Limongelli, I.; Rizzo, E.; Bellazzi, R.; Magni, P.; Zucca, Susanna | |
| Evaluating pointwise reliability of machine learning prediction | 1-gen-2022 | Nicora, G.; Rios, M.; Abu-Hanna, A.; Bellazzi, R. | |
| Evaluation of XAI on ALS 6-months mortality prediction | 1-gen-2022 | Buonocore, T. M.; Nicora, G.; Dagliati, A.; Parimbelli, E. | |
| Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools | 1-gen-2020 | Nicora, G.; Vitali, F.; Dagliati, A.; Geifman, N.; Bellazzi, R. | |
| MALDI mass spectrometry imaging shows a gradual change in the proteome landscape during mouse ovarian folliculogenesis | 1-gen-2023 | Fiorentino, Giulia; Smith, Andrew; Nicora, Giovanna; Bellazzi, Riccardo; Magni, Fulvio; Garagna, Silvia; Zuccotti, Maurizio | |
| Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa | 1-gen-2023 | Catalano, M.; Bortolotto, C.; Nicora, G.; Achilli, M. F.; Consonni, A.; Ruongo, L.; Callea, G.; Lo Tito, A.; Biasibetti, C.; Donatelli, A.; Cutti, S.; Comotto, F.; Stella, G. M.; Corsico, A.; Perlini, S.; Bellazzi, R.; Bruno, R.; Filippi, A.; Preda, L. | |
| Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm | 1-gen-2022 | Nicora, G.; Salemi, M.; Marini, S.; Bellazzi, R. |