HPI Digital Health Center
HPI Digital Health Forum 2018

DHC Members

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

Chair Digital Health - Personalized Medicine

The Research Group Digital Health-Personalized Medicine addresses the challenges and opportunities of digital transformation for the health system. The research focus lies on personalized medicine, which uses genomic and bioinformatic approaches to identify molecular disease mechanisms with the aim of improving prevention, diagnosis and therapy while leading to a more efficient health system. 

Working Group In-Memory Computing for Digital Health

The In-Memory Data Base (IMDB) technology is a game-changing technology foundation to combine, process and analyze enterprise data. The AG Schapranow focuses on applying IMDB technology to        scientific data management, life sciences, and big medical data supporting clinicians, researchers, and patients in their daily life.

Chair Digital Health - Machine Learning

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.

Chair Digital Health-Connected Healthcare

The Research Group Digital Health - Connected Healthcare headed by Prof. Dr. 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.