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)

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)

Statistical and machine learning methods for cancer research and clinical practice: A systematic review. - Laura Lopez-Perez; Eleni I. Georga; Carlo Conti; Victor Vicente; Rebeca García; Leandro Pecchia; Dimitrios I. Fotiadis; Lisa Licitra; María Fernanda Cabrera; María Teresa Arredondo; Giuseppe Fico (Biomed. Signal Process. Control., 2024)

Evaluating Usability, Acceptance, and Trust in the BEAMER Adherence Intelligence Visualization Platform: A Preliminary Study. - Beatriz Merino-Barbancho; Miguel Rujas; Rodrigo Martín Gómez Del Moral Herranz; Kristina Livitckaia; Konstantina Pantelidou; Elena Castellano; Konstantina Kostopoulou; María Fernanda Cabrera; María Teresa Arredondo; Giuseppe Fico (HCI (26), 2025)