PERAZZOLO, DIEGO
PERAZZOLO, DIEGO
Università di Padova
Machine Learning models to create an expert system to predict major cardiac adverse events in monitoring heart transplant patients
2026 Perazzolo, Diego
Machine Learning-Driven Raman Spectroscopy, Validated by Metabolomics, Identifies Novel Non-Invasive Biomarkers of Barrier Integrity and Outcomes in Inflammatory Bowel Disease
2026 Iacucci, M; Zammarchi, I; Santacroce, G; Perazzolo, D; Capobianco, I; Majumder, S; L Pugliano, C; Del Amor, R; D Ghauri, M; Chanda, S; Komolibus, K; V Fernandez, M; Amamou, A; Naranjo, V; Andersson-Engels, S; Grisan, E; Gautam, R; Ghosh, S
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
2025 Perazzolo, Diego; Fanton, Pietro; Barison, Ilaria; Fedrigo, Marny; Angelini, Annalisa; Castellani, Chiara; Grisan, Enrico
Streamflow Forecasting: A Comparative Analysis of ARIMAX, Rolling Forecasting LSTM Neural Network and Physically Based Models in a Pristine Catchment
2025 Perazzolo, Diego; Lazzaro, Gianluca; Fiume, Alvise; Fanton, Pietro; Grisan, Enrico
The value of systematic study and biobanking of explanted hearts: Insights from an international ISHLT pathology survey
2025 Fedrigo, Marny; Perazzolo, Diego; Berry, Gerald J.; Angelini, Annalisa
Transcriptomic profiling of cytomegalovirus infection in cardiac transplantation: proof-of-concept for a new strategy in tissue markers application
2025 Barison, I.; Perazzolo, D.; Castellani, C.; Giarraputo, A.; Rossi, E.; Vedovelli, L.; Minuzzo, S. A.; Tessari, C.; Pradegan, N.; Toscano, G.; Tona, F.; Basso, C.; Gerosa, G.; Mandruzzato, S.; Abate, D.; Gregori, D.; Angelini, A.; Fedrigo, M.
Uncovering Population PK Covariates from VAE-Generated Latent Spaces
2025 Perazzolo, Diego; Castellani, Chiara; Grisan, Enrico