Members of the Data Science research group recently presented their work at SPIE Photonics Europe in Strasbourg, one of the leading international conferences for photonics and optical technologies.
Dr. Kosmas Kepesidis and Niklas Leopold-Kerschbaumer presented two contributions focused on advancing blood-based infrared spectroscopy and machine learning methods for health monitoring. The work addresses key methodological challenges in the analysis of biological spectra, including statistical modelling of blood-based FTIR data and harmonization of measurements across instruments using domain-adversarial neural networks.
In addition to the conference presentations, both contributions have now been published as manuscripts in the official SPIE conference proceedings: Niklas Leopold-Kerschbaumer et al. and Flora B. Nemeth et al.
The publications highlight the Data Science research group’s ongoing work on robust, scalable analytical methods for biomedical spectroscopy and data-driven health research.
Picture: Kosmas Kepesidis (AI-generated)
