4 citations · 8 across the 3 of their papers we have counts for
4 papers
When LLM Architectures Meet Smart Contract Vulnerability Detection: a Replication Study
Gerardo Iuliano, Gabriele De Vito, Dario Di Nucci
Smart contracts are immutable programs deployed on blockchain platforms, where vulnerabilities can translate directly into financial loss. Among the techniques proposed for their d…
Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
Athanasios Angelakis, Gabriele De Vito, Eleni-Myrto Trifylli +1
Advanced fibrosis is a major determinant of liver-related morbidity in metabolic dysfunction-associated steatotic liver disease (MASLD). FIB-4 is widely used as a first-line non-in…
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
The increasing volume of drug combinations in modern therapeutic regimens needs reliable methods for predicting drug-drug interactions (DDIs). While Large Language Models (LLMs) ha…
HELIOT: LLM-Based CDSS for Adverse Drug Reaction Management
Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
Medication errors significantly threaten patient safety, leading to adverse drug events and substantial economic burdens on healthcare systems. Clinical Decision Support Systems (C…