Marcos L. Alvarez presents his PhD thesis at the University of Deusto in December 2025

On Friday, 19 December 2025, Marcos L. Alvarez (University of Deusto) presented the thesis “Urinary flow estimation through sound-based uroflowmetry and machine learning” led by Alfonso Bahillo and Laura Arjona at the University of Deusto.

The thesis explores an innovative and non-invasive approach for evaluating lower urinary tract function (LUTS), known as Sound-based Uroflowmetry (SU). Unlike traditional uroflowmetry (UF), which requires specialized clinical equipment, SU analyzes audio signals captured during urination and uses artificial intelligence (AI) techniques to estimate key urodynamic parameters. This approach leverages commonly available consumer audio devices such as smartphones and smartwatches making it a low-cost, portable and home-friendly solution.

The presentation showcased research results developed in collaboration between Universidad de Valladolid and University of Deusto within the AGINPLACE project.

More details:https://deustoteka.deusto.es/items/90844a00-5eb3-4255-ade7-4955160e7c62/full