Medical Data Processing

Digitization in the healthcare sector offers many opportunities to improve care for patients and to make the work of the medical profession easier. At the end of 2023, the German Bundestag passed two laws aimed at advancing this development (Act to Accelerate the Digitization of the Healthcare System and Act on the Improved Use of Healthcare Data). Accordingly, the analysis of medical data and the development of medical analysis projects are becoming increasingly important. The data processing cycle generally consists of the following steps: data generation, collection, processing, storage, management, analysis, visualization, interpretation and disposal. The development of software and hardware-based solutions can make an important contribution to improving these processes.

In cooperation with international experts, the working group of the CAS Research Focus "Medical Data Processing" aims to reflect on the digital health technologies of the future and to network the various activities in this field at LMU. The focus is on developing new AI-supported statistical methods and simulations for use in epidemiological and clinical studies and on improving the scientific validity of epidemiological analyses, especially for newly launched medical products using machine learning. In addition, large-scale medical simulations are to be implemented on supercomputers.

• Prof. Dr. Dieter Kranzlmüller (Computer Science)
• Prof. Dr. Jochen Gensichen (Medicine)
• Dr. Michael Schomaker (CAS Young Center / Statistics)