iHELP: Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records. - George Manias; Harm op den Akker; Ainhoa Azqueta-Alzúaz; Diego Burgos-Sancho; Nikola Dino Capocchiano; Borja Llobell Crespo; Athanasios Dalianis; Andrea Damiani; Krasimir Filipov; Giorgos Giotis; Maritini Kalogerini; Rostislav Kostadinov; et al. (ISCC, 2021)

Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator. - Andrea Damiani; Carlotta Masciocchi; Jacopo Lenkowicz; Nikola Dino Capocchiano; Luca Boldrini; Luca Tagliaferri; A. Cesario; P. Sergi; Antonio Marchetti; Alice Luraschi; Stefano Patarnello; Vincenzo Valentini (Frontiers Comput. Sci., 2021)

LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports. - Livia Lilli; Stefano Patarnello; Carlotta Masciocchi; Valeria Masiello; Fabio Marazzi; Tagliaferri Luca; Nikola Dino Capocchiano (ClinicalNLP@NAACL, 2024)

Improving Clinical Report Classification with Sentence Boundary Detection. - Livia Lilli; Stefano Patarnello; Nikola Dino Capocchiano; Carlotta Masciocchi; Mario Santoro (ICHI, 2025)

MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers. - Livia Lilli; Mario Santoro; Valeria Masiello; Stefano Patarnello; Luca Tagliaferri; Fabio Marazzi; Nikola Dino Capocchiano (BMC Medical Informatics Decis. Mak., 2025)