Master’s Degree in Computer Engineering from the University of Valladolid, studied through the STEM Women UVA-Santander Iberoamerica+Asia Program scholarship. Currently a PhD student in the Health Sciences Research program at the same university, with a specialized focus on the application of Artificial Intelligence and Machine Learning in the field of health.
I was part of the Telemedicine and eHealth Research Group (GTe) at the University of Valladolid, where I collaborated in the European Project E+DIETing_LAB, funded by Erasmus+, focused on the development of innovative digital tools for practical teaching in dietetics, such as an AI-based virtual patient and an interactive virtual clinic.
Currently, researcher in training at the Privacy Engineering Research Group (INGPRIV) of the University of Valladolid, participating in the Strategic Cybersecurity Project “App-PI (App Privacy Impact)”, funded by INCIBE with PRTR and Next Generation EU funds, where I collaborate in the maintenance of the backend of the system.
Publications
Año 2025
Casas Domínguez, M., Herrena Montano, I., López Gómez, J. J., Ramos Bachiller, B., de Luis Román, D. A., & de la Torre Díez, I. (2025). Predicting weight loss success after gastric sleeve surgery: A machine learning-based approach. Nutrients, 17(8), 1391. https://doi.org/10.3390/nu17081391
Año 2024
De la Torre Díez I, Casas Domínguez M y De Luis Román DA. Aportaciones de la inteligencia artificial en el área de la obesidad. Nutr Clin Med 2024; 18(3):163-184. https://nutricionclinicaenmedicina.com/pdf/NCM.2024.18.3.0004.pdf