Our Research Projects
Explore how our research is transforming healthcare through pioneering work at the crossroads of data science, AI, and biology. We drive innovation in large language models, deep learning, and medical image analysis to push the boundaries of clinical and scientific discovery. From trustworthy AI to integrated data ecosystems, our projects address pressing challenges in digital medicine.
SHIFT-HUB
The European Union funded SHIFT-HUB with EUR 2 million under the Horizon Europe scheme to establish a pan-European Smart Innovation Hub paving the way towards the future federated European Health Data Space.
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Unified Network for International Cancer Advancement (UNICA)
The UNICA project aims to extend the European Cancer Imaging Initiative (EUCAIM) by adding breast, lung, and prostate cancer screening imaging data to its federated infrastructure. By contributing data from different regions across Europe, including underrepresented areas, UNICA will ensure the availability of diverse and representative datasets for research and innovation.
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NUM-Codex plus
Development of a nationwide standardised, data protection-compliant infrastructure for the storage and provision of COVID-19 research datasets. Among other things, a comprehensive database, data collection tools, use & access procedures and a trust centre are planned. [...]
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PrivateAIM
PrivateAIM (Privacy-preserving Analytics in Medicine) is dedicated to bridging the gap between data privacy and medical innovation. Following the "Code to Data" principle ensures that patient data remains securely stored within university hospitals, while only analysis algorithms are exchanged. [...]
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NUM-RDP
The NUM Routine Data Platform (NUM-RDP) project aims to provide a generic routine data platform. "Routine data" here means clinical routine documentation data from patient care. In the first funding period, the NUM added the option of centralised, cross-institutional data consolidation, storage and output to the existing structures of the Medical Informatics Initiative (MII) for federated data storage and analysis. [...]
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Open Medical Inference (OMI)
The Open Medical Inference (OMI) platform aims to enable the discovery and use of remote AI services. OMI will develop open medical inference protocols and data formats for the semantically interoperable peer-to-peer exchange of multimodal healthcare data and remote AI inference. To this end, a repository of German-wide services will be established with an initial selection of multimodal AI models in order to enable researchers, through Medical Data Integration Centers of German University Hospitals, to access and run the developed AI models remotely.
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SU-TermServ
MII Service Unit Terminological Services (SU-TermServ) is a project within the grant scheme of the Medical Informatics Initiative (MII) in Germany. The aim of the project is the deployment and operation of a central German National terminology server for the MII and the Network University Medicine. The national Terminology Server will be hosted by the Medical Data Integration Center of the University Hospital of Cologne.
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CRC TRR 422 PodoSigN
TRR 422 is a Collaborative Research Center funded by the German Research Foundation (DFG) at the Universities of Cologne, Münster and Hamburg. In this network, researchers are investigating the molecular control processes of structurally complex kidney cells known as podocytes. [...]
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