What I have published, and where.

When the Chatbot Leaks: Securing Patient-Facing Medical AI in the Age of Dual-Use Large Language Models

NEJM AI · Last author

Machine learning-based identification of medication adherence predictors in two Spanish primary care cohorts

Scientific Reports · Second author

A Secure and Interoperable Big Data Platform for AI-Driven Healthcare Solutions: Insights from the GATEKEEPER Project

IEEE Access · Co-author

Factors affecting the likelihood of documented medication concerns in patients with multimorbidity: a cross-sectional study in primary care

BJGP Open · Co-author

A Comparative Analysis of Message-Level and User-Level Natural Language Processing Approaches for Early Depression Detection on Social Media

CIABIOMED 2025 · Second author

The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Scoping Review

IEEE Journal of Biomedical and Health Informatics · Co-author

A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management

Scientific Reports · Co-author

Unveiling Predictors of Parkinson's Disease Progression: A Machine Learning Approach with Questionnaire and Wearable Device Data

IEEE EMBC 2025 · Co-author

A Bayesian network approach for understanding causal dependencies in chronic patients’ medication non-adherence

IEEE EMBC 2025 · Second author

Identifying Markers of Cardiac Arrythmias in Patients with Diabetes Mellitus Type 2

IEEE EMBC 2025 · Co-author

Impact of Dimensionality on Medication Adherence Prediction: Assessing Accuracy and Computational Efficiency

IEEE EMBC 2025 · Second author

Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach

IEEE CBMS 2025 · Third author

Evaluating Usability, Acceptance, and Trust in the BEAMER Adherence Intelligence Visualization Platform: A Preliminary Study

HCI International 2025 · Second author

Methods and computational techniques for predicting adherence to treatment: A scoping review

Computers in Biology and Medicine · Co-author

Understanding Adherence to Medication in Chronic Patients: A Comprehensive Approach for Optimization and Analysis of Structural Factors

IEEE EMBC 2024 · Second author

The BEAMER Lab: Conceptualizing a Living Lab Framework to Develop Predictive Models, Tools and Support Programs to Improve Adherence to Treatment

EMBEC 2024 · Second author

Comparative Study of Machine Learning Methods for the Early Prediction of Adherence to Medication

EMBEC 2024 · First author

Regulatory Frameworks and Validation Strategies for Advancing Artificial Intelligence in Healthcare

EMBEC 2024 · Third author

Development of a Natural Language Processing-Based System for Characterizing Eating Disorders

IberLEF · CEUR Workshop Proceedings

Proyecto BEAMER. Desarrollo de un modelo predictivo de falta de adherencia terapéutica para mejorar el cumplimiento, los resultados en salud, la calidad de vida y la eficiencia de la atención médica

Revista Clínica de Medicina de Familia

Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence

HCI International 2023 · Third author