At the latest CAIMed Quarterly Meeting, leading scientists in AI research and medicine discussed current research projects on personalized medicine and AI-based decision support. The combination of excellent locations in Lower Saxony for methodical AI research, data-intensive medicine, medical informatics and basic medical research opens up new possibilities for improving patient care and clinical processes.   

 Current updates from the research groups  

The 30 researchers from Hanover, Göttingen and Braunschweig learned about new developments in the fields of research and translation and provided an insight into cross-disciplinary and cross-location projects within CAIMed.   

Prof. Dr. Tim Beißbarth, CAIMed Mentor and Head of the Department of Medical Bioinformatics at the University Medical Center Göttingen (UMG), provided information on new possibilities for validating AI-supported systems in medicine, causal methods for improving clinical study designs and AI analyses of biological data, which are particularly promising for use in oncology and rare diseases. The secure use of decentralized medical data was also discussed.  

New collaborations in post-COVID research  

Together with the L3S Research Center, the Hannover Medical School, the University Medical Center Göttingen and the Helmholtz Centre for Infection Research, CAIMed has established a new research cluster for post-COVID research (myalgic encephalomyelitis/chronic fatigue syndrome, ME/CFS). The aim of the CAIMed cluster is to develop targeted drug treatment strategies for chronic multisystemic diseases such as ME/CFS.  

The CAIMed consortium conducts research in four methodological AI clusters focusing on cancer, cardiovascular diseases/pulmonary medicine and infectious diseases.