TRACK RECORD AND CAPABILITIES OF THE BIOMEDICAL ENGINEERING GROUP AT THE UNIVERSITY OF VALLADOLID IN RESPIRATORY DISEASE RESEARCH

The Biomedical Engineering Group (Grupo de Ingeniería Biomédica, GIB) at the University of Valladolid (UVa), member of CIBER-BBN (CB19/01/00012 group), has more than 20 years of research experience in the field of respiratory diseases. Working closely with national and international physicians specializing in areas such as pneumology, emergencies, and pediatrics, among others, we focus on applying different advanced processing techniques for biomedical data analysis, and artificial intelligence methods to develop predictive models for detection, prognosis, and personalized diagnosis of diverse respiratory pathologies. we have expertise in analyzing a wide range of respiratory data—including biomedical signals and images, electronic health records, and blood biomarkers—across diverse conditions such as sleep apnea (in both adults and children), chronic obstructive pulmonary disease (COPD), asthma, and COVID-19. We have also experience in developing fully functional software applications that provide real-time analysis of biomedical data for the screening and management of respiratory diseases in healthcare systems. Our research has demonstrated significant clinical impact, supporting earlier interventions, simplified diagnostic systems, more accurate decision-making, and improved patient outcomes. Our track record is evidenced by near 80 Journal Citation Report (JCR) articles, five of them in collaboration with a researcher from the CIBERES (CB22/06/00035 group). We have also participated in more than 20 R&D regional, national, and European projects, and two patents in the USA. We believe that this experience and these capabilities could be of great value in establishing collaborations with CIBERES groups.

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Publication Details

Journal
Open Respiratory Archives
Published
2026-02-01
DOI
https://doi.org/10.1016/j.opresp.2026.100543
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

TRACK RECORD AND CAPABILITIES OF THE BIOMEDICAL ENGINEERING GROUP AT THE UNIVERSITY OF VALLADOLID IN RESPIRATORY DISEASE RESEARCH

R. Hornero, Daniel Álvarez, Fernando Vaquerizo-Villar, Verónica Barroso-García et al.
Open Respiratory Archives
COVID-19 diagnosis using AI
article

TRACK RECORD AND CAPABILITIES OF THE BIOMEDICAL ENGINEERING GROUP AT THE UNIVERSITY OF VALLADOLID IN RESPIRATORY DISEASE RESEARCH

R. Hornero, Daniel Álvarez, Fernando Vaquerizo-Villar, Verónica Barroso-García, Clara García-Vicente, Jorge Jiménez-García, Adrián Martín-Montero, Javier Gómez-Pilar, Tomás Ruíz-Albi, Félix del Campo, Gonzalo C. Gutiérrez-Tobal
article en

Abstract

The Biomedical Engineering Group (Grupo de Ingeniería Biomédica, GIB) at the University of Valladolid (UVa), member of CIBER-BBN (CB19/01/00012 group), has more than 20 years of research experience in the field of respiratory diseases. Working closely with national and international physicians specializing in areas such as pneumology, emergencies, and pediatrics, among others, we focus on applying different advanced processing techniques for biomedical data analysis, and artificial intelligence methods to develop predictive models for detection, prognosis, and personalized diagnosis of diverse respiratory pathologies. we have expertise in analyzing a wide range of respiratory data—including biomedical signals and images, electronic health records, and blood biomarkers—across diverse conditions such as sleep apnea (in both adults and children), chronic obstructive pulmonary disease (COPD), asthma, and COVID-19. We have also experience in developing fully functional software applications that provide real-time analysis of biomedical data for the screening and management of respiratory diseases in healthcare systems. Our research has demonstrated significant clinical impact, supporting earlier interventions, simplified diagnostic systems, more accurate decision-making, and improved patient outcomes. Our track record is evidenced by near 80 Journal Citation Report (JCR) articles, five of them in collaboration with a researcher from the CIBERES (CB22/06/00035 group). We have also participated in more than 20 R&D regional, national, and European projects, and two patents in the USA. We believe that this experience and these capabilities could be of great value in establishing collaborations with CIBERES groups.

Open Respiratory ArchivesVol. 8
Universidad de Valladolid (ES), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Hospital Universitario Río Hortega (ES)
Partnerships for the goals
Openalex Percentile: Top 58%
COVID-19 diagnosis using AI
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