Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence. - Beatriz Merino-Barbancho; Peña Arroyo; Miguel Rujas; Ana Cipric; Nicholas Ciccone; Francisco Lupiáñez-Villanueva; Ana Roca-Umbert Würth; Frans Folkvord; María Fernanda Cabrera; María Teresa Arredondo; Giuseppe Fico (HCI (19), 2023)

Development of a Natural Language Processing-Based System for Characterizing Eating Disorders. - Miguel Rujas; Beatriz Merino-Barbancho; Peña Arroyo; Giuseppe Fico (IberLEF@SEPLN, 2023)

Understanding Adherence to Medication in Chronic Patients: A Comprehensive Approach for Optimization and Analysis of Structural Factors. - Peña Arroyo; Miguel Rujas; Beatriz Merino-Barbancho; Rodrigo Martín Gómez Del Moral Herranz; Jaime Barrio Cortes; Ana Isabel Villimar Rodríguez; Beatriz Benito; Jim Ingebretsen Carlson; Francisco Lupiáñez-Villanueva; María Teresa Arredondo; María Fernanda Cabrera; Giuseppe Fico (EMBC, 2024)

Methods and computational techniques for predicting adherence to treatment: A scoping review. - Beatriz Merino-Barbancho; Ana Cipric; Peña Arroyo; Miguel Rujas; Rodrigo Martín Gómez Del Moral Herranz; Torben Barev; Nicholas Ciccone; Giuseppe Fico (Comput. Biol. Medicine, 2025)