VERGANI, ANDREA MARIO
VERGANI, ANDREA MARIO
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A deep learning representation of common genetic variants improves the prediction of coronary artery disease beyond polygenic risk scores
2025-01-01 Vergani, Andrea Mario; Lampis, Andrea; Massi, Michela Carlotta; Masseroli, Marco; Ieva, Francesca; Di Angelantonio, Emanuele
A generative machine learning approach to generate genotypes and phenotypes for privacy-preserving sharing of polygenic risk prediction data
2025-01-01 Lampis, Andrea; Massi, Michela; Pirastu, Nicola; Vergani, Andrea Mario; Matteucci, Matteo; Ieva, Francesca; Di Angelantonio, Emanuele
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)
2024-01-01 Kassem, Karim; Sperti, Michela; Cavallo, Andrea; Vergani, Andrea Mario; Fassino, Davide; Moz, Monica; Liscio, Alessandro; Banali, Riccardo; Dahlweid, Michael; Benetti, Luciano; Bruno, Francesco; Gallone, Guglielmo; De Filippo, Ovidio; Iannaccone, Mario; D'Ascenzo, Fabrizio; De Ferrari, Gaetano Maria; Morbiducci, Umberto; Della Valle, Emanuele; Deriu, Marco Agostino
Deep generative models to improve polygenic risk scores’ accuracy and portability across ancestries and admixtures
2024-01-01 Lampis, A.; Massi, M. C.; Vergani, A. M.; Matteucci, M.; Ieva, F.; Di Angelantonio, E.
Diagnosis of cardiovascular diseases using interpretable cardiac magnetic resonance-derived latent factors
2024-01-01 Vergani, ANDREA MARIO; Chatterjee, Soumick; Ometto, Sara; Andrea Pivato, Carlo; Visconti, Alessia; Glastonbury, Craig A.; Masseroli, Marco; Ieva, Francesca; Di Angelantonio, Emanuele
Latent space vector arithmetic for representation learning interpretability in medical imaging
2024-01-01 Vergani, ANDREA MARIO
Multi-modal integration reveals the joint role of electrocardiogram, imaging and genetics in cardiovascular risk
2025-01-01 Vergani, Andrea Mario; Ieva, Francesca; Masseroli, Marco; Di Angelantonio, Emanuele
Predicted deleterious rare variants in non-hypertrophic cardiomyopathy genes increase the risk for severe cardiac events: evidence from the UK Biobank
2025-01-01 Gandin, Ilaria; Vergani, Andrea Mario; Massi, Michela; Paldino, Alessia; Setti, Martina; Barbati, Giulia; Di Angelantonio, Emanuele; Ieva, Francesca; Dal Ferro, Matteo
Predicting bovine daily milk yield by leveraging genomic breeding values
2024-01-01 Vergani, Andrea Mario; Bagnato, Alessandro; Masseroli, Marco
Prediction of incident cardiovascular events using cardiac MRI-derived latent factors
2024-01-01 Vergani, ANDREA MARIO
Prediction of incident cardiovascular events using omics-derived latent factors
2024-01-01 Vergani, ANDREA MARIO; Chatterjee, Soumick; Lampis, Andrea; Massi, MICHELA CARLOTTA; Ometto, Sara; Andrea Pivato, Carlo; Visconti, Alessia; Glastonbury, Craig A.; Masseroli, Marco; Ieva, Francesca; Di Angelantonio, Emanuele
The use of machine learning in the genomic era of livestock farming
2023-01-01 Vergani, A. M.; Bagnato, A.; Masseroli, M.
Unsupervised phenotyping and genetic discovery in 62,495 cardiac MRIs
2024-01-01 Ometto, S.; Chatterjee, S.; Vergani, A. M.; Visconti, A.; Bianchi, E.; Giacopuzzi, E.; Landini, A.; Sharapov, S.; Cisternino, F.; Soda, E.; Ieva, F.; Di Angelantonio, E.; Pirastu, N.; Glastonbury, C. A.
Use of longitudinal data in genomic management of dairy cattle herds
2023-01-01 Bagnato, A.; Punturiero, C.; Bernini, F.; Strillacci, M. G.; Milanesi, R.; Masseroli, M.; Vergani, A. M.