Institut für Medizinische Biometrie und Statistik (IMBI)

Unlocking the potential of artificial intelligence for biomedical research by developing algorithms for challenging settings, such as for small data, as well as by implementing novel research workflows.

Transforming time-complex clinical and observational data into evidence by combining novel study designs with modern statistical methods — advancing decision-making in real-world healthcare.

Innovative approaches making clinical research more agile, informative, and meaningful.

Produce new knowledge about the structure, processes, and effects of health care for individuals and populations. Data-driven insights for health care delivery and policy.

Create tools and estabish workflows for reproducible research and publications.

What’s known, what’s uncertain, and what matters most — sharpening healthcare decision making and guideline developments by refining how evidence is gathered, synthesized, and interpreted.

Improve the lives of individuals with disabilities by investigating methods to restore or enhance their functional abilities and participation in society.