About the Centre for Clinical Neurosciences

The Centre for Clinical Neuroscience focuses on clinical research in multiple sclerosis, traumatic brain injury, and neurodegenerative diseases. Its research activities are aimed at the identification and application of laboratory and imaging biomarkers for diagnosis, monitoring of disease activity, prediction of disability progression, and evaluation of treatment effectiveness. A key component of the programme is the use of advanced imaging methods, particularly quantitative and automated magnetic resonance imaging (MRI) analyses, as well as the development of personalized approaches to modern biological therapies. The Centre also addresses analytical and pre-analytical factors that influence the measurement of laboratory biomarkers and their interpretation in clinical practice. In the field of traumatic brain injury, the Centre is engaged in clinical research focused on the use of laboratory biomarkers and optimization of diagnostic strategies to improve diagnostic accuracy and reduce unnecessary radiation exposure. The Centre serves as a bridge between evidence-based medicine and its implementation in routine clinical practice. It evaluates novel diagnostic and therapeutic approaches in terms of their real-world applicability and contributes to their methodological standardization. In line with this role, the Centre is also involved in the emerging field of patient-specific computational models, so-called digital twins, which integrate longitudinal clinical, laboratory, and imaging data. Quantitative MRI and systematically collected biomarker data represent natural inputs for these approaches and support the further development of personalized medicine in neurology. The Centre actively promotes interdisciplinary and international collaboration and participates in multicentre studies. Research is conducted in close cooperation with LAB4LIFE, University Hospital Ostrava, VSB – Technical University of Ostrava, and other departments of the Faculty of Medicine, University of Ostrava. These collaborations provide a strong foundation for integrating clinical expertise with advanced analytical and computational methods.

Updated: 04. 05. 2026