Researchers, doctoral students and students from Mondragon Unibertsitatea present their progress at the CASEIB 2025 congress
Researchers, doctoral students and students from Mondragon Unibertsitatea present their progress at the CASEIB 2025 congress
Researchers, doctoral students and students from Mondragon Unibertsitatea present their progress at the CASEIB 2025 congress
A large representation of the Faculty of Engineering of Mondragon Unibertsitatea attended the XLIII edition of the Annual Congress of the Spanish Society of Biomedical Engineering. Specifically, there were several professors-researchers in the area of Biomedicine, accompanied by students of the doctoral program and students of the Master's Degree in Biomedical Technologies.
The works they presented were the following:
Development of a new generation bioactive dressing for the treatment of chronic wounds
- Author: Lorea Buruaga, teacher-researcher
In this poster communication, he presented the development of a new generation bioactive dressing for the treatment of chronic wounds, with special attention to its ability to modulate the cellular response and promote tissue regeneration.
The study is part of the ALOPRP3D IV project, funded by the Department of Health of the Basque Government within the 2024 call for Health Research and Development Projects. The work is carried out in collaboration between Biobizkaia/Osakidetza – Basque Centre for Transfusions and Human Tissues, BCMaterials and the Department of Cell Biology and Histology of EHU (Leioa). Preliminary results show the potential of the dressing to improve the wound microenvironment and accelerate its healing process.
Automatic age prediction tool based on non-invasive images
- Author: Garazi Zuazo, PhD Program student
In this study, an automatic age prediction tool based on non-invasive optical coherence tomography (OCT) images was presented. This tool is based on deep learning models that have been trained with 1180 OCT volumes from 517 control subjects. Specifically, deep learning architectures have been used that consider individual B-scans (2D images) as well as volumetric images (3D images) as inputs. The proposed system has been able to estimate the age of the subjects with a mean absolute error of 3.07 years, improving other systems published in the literature.
Impact of Low-Frequency Systemic Oscillations on Brain Networks
- Author: Ibai Azpeitia, student of the Master's Degree in Biomedical Technologies
Ibai presented a work developed during his TFG at the University of Ghent. Their work was based on presenting the impact that low-frequency systemic oscillations (sLFOs) have on somato-cognitive action networks and resting-state brain networks. In this work, he showed that sLFOs explain a considerable variance in functional magnetic resonance imaging signals, being up to 14.5% in the gray matter of the brain. These findings underscore the importance of controlling for this physiological factor for an accurate interpretation of brain connectivity.
Good work team! Keep working and looking for new solutions to improve our health and quality of life.
