The initial phase of Digital Health Center (DHC) development includes establishment of three tenured Digital Health Professorships and Chairs with emphasis in personalized medicine (Prof. Erwin Böttinger), machine learning (Prof. Christoph Lippert), and connected healthcare (Prof. Bert Arnrich) as core DHC faculty.

Technical advances in imaging and DNA sequencing enable diagnosis of disease earlier and more accurate than ever. Innovative use of data promises to revolutionize clinical practice and to turn medicine into a data science. In the research group “Digital Health – Machine Learning”, headed by Christoph Lippert, we work on Machine Learning and Artificial Intelligence algorithms and novel applications in medicine. We develop models to detect disease patterns in images and molecular data and statistical models for the quantitative analysis of large cohorts.

The Research Group Digital Health - Connected Healthcare headed by Bert Arnrich aims to pave the way for transforming healthcare systems from purely managing illness to maintaining wellness.  Ubiquitous sensing and computing technologies are foreseen as the key enabler for pushing the paradigm shift from the established centralized healthcare model to a user-centered and preventive overall lifestyle health management that is available everywhere, anytime and to anyone.

The research group Data Analytics and Computational Statistics develops statistical and IT methods to automatically evaluate large amounts of data, filter out relevant signals, and integrate pertinent prior knowledge. Emphasis is placed on the statistical estimation of rates of error as well as software implementation. Crucial thereby is the targeted, customization of procedures for specialized, practical problems. Biomedical issues are just one focus of the application area.