The Gütig lab uses analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in central nervous systems and to understand how these principles are implemented by biological processes. Specifically, the lab focuses on the role of action potential timing in sensory…

Chronic low back pain is a significant public health problem in industrialized society. The intact spine carries the upper body and external loads, allows motion in a physiological range and protects the spinal cord. These different demands necessitate a high degree of complexity with various sources for disorders and pain. The BIH - Julius Wolff…

The Medical Omics lab aims to improve healthcare and basic research by providing artificial intelligence-driven tools for the analysis of large biomedical datasets. For comprehensive insights in disease entities, we aim to include multiple layers of data, such as single-cell RNA sequencing, methylomics data and medical imaging. In close…

Common metabolic disorders such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. We now know that many sections of the genome influence the risk of weight gain or adverse fat distribution, in addition to the important roles played by lack of physical activity and excessive intake of high-calorie foods.…

Defects in musculoskeletal tissues, e.g. in consequence of a trauma, do not always heal spontaneously but require surgical intervention. Biomaterials implanted into the defect region have to potential to support the healing process. We investigate the interaction between cells, their surrounding extracellular matrix and biomaterials for the…

Both mechanical and biological processes work together to determine the outcome of musculoskeletal regeneration. Whilst many of the biological factors have been identified and some even brought into clinical practice (BMP's, PDGF, IGF, etc.), the impact of the mechanical environment and the role of the immune system are only recently taken into…

The main research area of the Bioinformatics and Translational Genetics group is the elucidation of single gene disorders (diseases caused by DNA mutations in a single gene). We are developing user-friendly software that can be used by non-IT specialists. This allows the physicians – who know most about the patients and their disorders – to analyse…

Brain simulation helps us understanding how our brain works – and developing personalized therapies for its diseases

Further advancing digital medicine requires innovative solutions for integrating healthcare and medical research data. From the perspective of medical informatics, there are important open questions. How can the required collection, integration and analysis of large and heterogeneous data sets be achieved in an efficient, effective and scalable…