Development of new technologies, analysis tools, and databases
The biomedical research field is witnessing a paradigm shift with the advent of big data, data science, and resources in Machine Learning (ML), which offer new ways of acquiring knowledge. However, ML practitioners are often decoupled from biomedical researchers, presenting a need for collaborative links or shared platforms.
It is therefore crucial to establish the necessary infrastructure for the use of HCM systems to leverage modern statistical processing techniques. In pursuit of this goal, we are leveraging existing commercial and self-developed HCM setups in collaboration with small and medium enterprises (SMEs). We will standardize parameters for both data and metadata, assess current practices in data analysis from diverse independent sensors, and explore the feasibility of integrating datasets from the different HCM systems available to Action participants. Finally, we aim to develop new lasting forums to bridge behavior and data science and further facilitate the integration and analysis of complex data sets.
Working group 3 leader
Jan Rozman, Dr. rer. nat., has recently joined the Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg as Scientific Platform Coordinator. He has many years of experience in studying experimental animal models with the aim of better understanding the physiological, genetic, and molecular causes of human diseases, especially in the field of metabolic, cardiac, and neurodegenerative diseases.
Co-leaders: Sonia Bains, Hamish Forrest, Marion Rivalan