The Laboratory for Chemical and Biomedical Informatics is a research department dedicated to processing and interpreting data from the fields of chemistry, biomedicine, and the environment. The laboratory employs advanced chemometric methods for modeling chemical systems, as well as bioinformatics methods for a deeper understanding of chemical and biological processes. Basic techniques include statistical methods and machine learning, implemented through programming languages such as Python and/or R, enabling the understanding of linear and nonlinear relationships. Models are used for analyzing trends in air pollution, identifying new biomarkers in metabolic studies, and analyzing metagenomic data with a focus on the complex diseases such as obesity and asthma.
An important research area of the Laboratory is metabolomics, which involves studying metabolites in biological systems and their changes in response to different environmental conditions. Metabolome analysis provides insight into metabolic pathways and changes occurring within an organism, which can be crucial in understanding diseases. By combining various advanced data processing techniques and in-depth knowledge of chemistry and biomedicine, the Laboratory offers an innovative approach to understanding complex systems of chemistry, biomedicine and the environment.
