My research spans biomedical AI, natural language processing, large language models, multimodal learning, explainable AI, and data-efficient learning. A complete and up-to-date bibliographic record is also available on Google Scholar.
Last updated: August 2026.
Peer-reviewed journal articles, newest first.
Frontiers in Bioengineering and Biotechnology · 2026
Studies the relationship between preoperative MRI radiomic biomarkers and functional impairment in rotator cuff tears.
BMJ Public Health · 2026
Reviews how digital technologies have been used to support mosquito surveillance systems worldwide over the past decade.
BMC Musculoskeletal Disorders · 2026
Investigates the discriminative and predictive value of preoperative MRI radiomic features in patients with supraspinatus lesions.
Biomedical Signal Processing and Control · 2026
Develops an AI pipeline for intervertebral-disc detection and explainable Pfirrmann grading from lumbar MRI.
Data in Brief · 2025
Introduces a time-series dataset for studying regional food-price variation across Italian supermarkets.
Health and Technology · 2025
Explores feature-based knowledge distillation for explainable detection of pulmonary diseases.
Computers in Biology and Medicine · 2025
Combines multi-task learning and instance selection to make biomedical NLP training more data-efficient.
Knowledge-Based Systems · 2025
Transfers domain knowledge across languages through sentence-transformer distillation for specialized NLP settings.
Frontiers in Digital Health · 2025
Applies machine learning to predict adherence to lifestyle recommendations and quality-of-life outcomes in breast cancer patients.
Engineering Proceedings · 2025
Uses a multicompartmental physiologically based pharmacokinetic model to study drug transport, distribution, and absorption.
Neural Computing and Applications · 2025
Combines GARCH modelling with a Temporal Fusion Transformer for exchange-traded-fund volatility prediction.
Healthcare · 2024
Quantifies conventional and technology-assisted neurorehabilitation treatments for individuals with spinal cord injury.
IEEE Access · 2024
Studies stock prediction under high uncertainty by combining LSTM models with sentiment analysis of social-media data.
Artificial Intelligence in Medicine · 2024
Analyzes biomedical language models across pre-training, domain adaptation, fine-tuning, and representation behaviour.
Natural Language Processing Journal · 2023
Examines the stability of BERT under further pre-training and how very small changes can affect downstream behaviour.
IEEE Access · 2023
Proposes a layered meta-learning approach for predicting adverse events in type 1 diabetes.
IEEE Access · 2023
Investigates Vision Transformers and confidence-aware modelling for ECG-based biometric identification.
Expert Systems With Applications · 2023
Develops a medical text style-transfer system aimed at reducing the expertise gap between physicians and patients.
Frontiers in Surgery · 2022
Systematically reviews natural language processing methods applied to low back pain and spine diseases.
Scientific Reports · 2022
Applies machine learning to proteomic data from high-grade serous ovarian cancer to investigate candidate biomarkers.
International Journal of Environmental Research and Public Health · 2022
Reviews artificial-intelligence and computer-aided-diagnosis approaches for chronic low back pain.
European Journal of Pharmaceutical Sciences · 2021
Examines relationships among intestinal microbiota, mucosal permeability, and three antibiotic drugs.
Electronics · 2021
Uses hierarchical Transformer-based extractive summarization to support explainable sentiment analysis.
Conference and workshop papers, newest first.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Compares wearable-sensor configurations for sleep/wake classification with and without apnoea events.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Benchmarks datasets and evaluation settings for biomedical text simplification.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Investigates neural-pathway similarity as a strategy for efficient glycemic-event prediction.
24th International Conference on Artificial Intelligence in Medicine (AIME 2026) · 2026
Studies multi-view lumbar MRI for therapy-oriented decision support in low back pain.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Explores lightweight multimodal deep learning for continuous respiratory-rate estimation from ECG and PPG.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Investigates edge computer vision for arbovirus-vector detection and global-health surveillance.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Explores non-invasive glycaemic estimation from ECG signals in type 1 diabetes.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Uses deep learning for coronary-artery segmentation to compare CCTA reconstruction methods.
XVII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2026) · 2026
Benchmarks automatic question generation from clinical practice guidelines using low back pain management as a case study.
24th International Conference on Artificial Intelligence in Medicine (AIME 2026) · 2026
Develops a multimodal wearable-data framework for epileptic-seizure prediction.
Eleventh Italian Conference on Computational Linguistics (CLiC-it) · 2025
Evaluates large language models on real questions from Italy's medical-school entrance examinations.
Eleventh Italian Conference on Computational Linguistics (CLiC-it) · 2025
Introduces a real-world Italian clinical-note dataset for NLP-based decision support in low back pain treatment.
2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · 2023
Applies AI-based classification models to postural-data analysis.
2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · 2023
Compares supervised and unsupervised neural networks for photoplethysmographic signal-quality assessment.
Seventh Workshop on Natural Language for Artificial Intelligence (NL4AI 2023) at 22nd International Conference of the Italian Association for Artificial Intelligence (AIIA 2023)* · 2023
Provides a broad overview of natural language processing methods and applications in healthcare.
2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · 2021
Develops and tests the robustness of a single-beat ECG-based identification system across different conditions.
Sixth International Workshop on eXplainable SENTIment Mining and EmotioN deTection at 18th Extended Semantic Web Conference (ESWC 2021) · 2021
Uses Transformer-based extractive summarization to provide explanations for sentiment-analysis predictions.
Seventh Italian Conference on Computational Linguistics (CLiC-it) · 2020
Applies machine learning to sentiment analysis of Italian-language healthcare reviews.