CASIRAGHI, ELENA
CASIRAGHI, ELENA
Dipartimento di Informatica Giovanni Degli Antoni
Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs
2027 P. Miotto, L. Mellini, T. Marzi, C. Alippi, E. Casiraghi, A. Paccanaro, G. Valentini, M. Soto-Gomez
Protein language model-generated enzyme sequences exhibit high stability in molecular dynamics simulations
2026 E.M.A. Fassi, M. Nicolini, E. Saitto, G. Valentini, E. Casiraghi, G. Grazioso
GRIP-Transformer ncRNA–ncRNA augmented training dataset
2026 M. D'Ovidio, M. Nicolini, E. Casiraghi, G. Valentini
Splenic FDG PET uptake and CT volume as prognostic biomarkers in diffuse large B cell lymphoma
2026 J. D'Argenzio, N. Rampi, J. Pozzi, V. Vespro, M. Pavan, E. Casiraghi, F.G. Rossi, A. Castello, L.V. Forzenigo, M. Castellani, M. Zilocchi, F. Passamonti, G. Carrafiello
Finenzyme-generated enzymes with predicted structures (ESMfold)
2026 M. Nicolini, E. Fassi, G. Valentini, E. Casiraghi, G. Grazioso
Het-node2vec: second-order random walk sampling for heterogeneous graph embedding
2026 M. Soto-Gomez, C. Cano, J. Reese, P.N. Robinson, G. Valentini, E. Casiraghi
Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools
2026 J.T. Reese, L. Chimirri, Y. Bridges, D. Danis, J.H. Caufield, M.A. Gargano, C. Kroll, A. Schmeder, F. Liu, K. Wissink, J.A. Mcmurry, A.S.L. Graefe, E. Niyonkuru, D.R. Korn, E. Casiraghi, G. Valentini, J.O.B. Jacobsen, M. Haendel, D. Smedley, C.J. Mungall, P.N. Robinson
FedMed: Federated Learning-Based Personalized and Safe Medication Recommendation
2026 A. Li, E. Casiraghi, J. Rousu
Discrete quantum-classical walks for link prediction
2026 A. Marín, M. Soto-Gomez, G. Valentini, E. Casiraghi, C. Cano, D. Manzano
MiRInter-Trans: a Transformer-Based Framework for microRNA Interaction Prediction
2026 M. Nicolini, F. Stacchietti, F.J. Molina, C. Cano, J. Alcala-Fdez, A. Paccanaro, E. Casiraghi, G. Valentini
Modular Deep Neural Networks with Residual Connections for Predicting the Pathogenicity of Genetic Variants in Non Coding Genomic Regions
2026 F. Stacchietti, M. Nicolini, L. Chimirri, P.N. Robinson, E. Casiraghi, G. Valentini
Tabular implicit deep neural networks ensembles for the prediction of pathogenic genetic variants in Mendelian diseases
2026 F. Stacchietti, M. Nicolini, L. Chimirri, P.N. Robinson, E. Casiraghi, G. Valentini
Quantum-enhanced Representation Learning and Matching Learning for Recommendation
2026 A. Li, E. Casiraghi
Computational understanding of non-coding RNA pairwise interactions
2026 M. Nicolini, F. Stacchietti, E. Casiraghi, G. Valentini
Revisiting Minamata disease through computational phenotypic similarity analysis
2026 E. Marchi, P. Boldi, E. Casiraghi, S. Zapperi, C.A.M. La Porta
Structured Chemical Reaction Modeling with Multitask Graph Neural Networks
2025 M. Astero, A. Li, E. Casiraghi, J. Rousu
Software and Data for: Curated data empower deep learning for RNA epitranscriptome discovery
2025 E. Saitto, E. Casiraghi, A. Paccanaro, G. Valentini
Predicted RNA m⁵C sites across the human transcriptome (GRCh38 GENCODE v45)
2025 E. Saitto, E. Casiraghi, P. Alberto, G. Valentini
Hybrid Quantum-Classical Walks for Graph Representation Learning in Community Detection
2025 A. Marín, M. Soto-Gomez, G. Valentini, E. Casiraghi, C. Cano, D. Manzano
CSGL: Chemical Synthesis Graph Learning for Molecule Representation
2025 A. Li, E. Casiraghi, J. Rousu