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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.

Project Logo DICE-CD

Data Innovations in Collaborative Ecosystems for Clinical Domains

Using autosomal dominant polycystic kidney disease (ADPKD) as a reference case, DICE-CD builds a blueprint for data-driven, interoperable clinical ...

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NUM-ENRICH

The NUM-ENRICH project - "Extending NUM Research Infrastructures through Collaboration and Harmonization" - enhances the visibility, accessibility,...

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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 ...

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Federated learning and Data Lakehouse for healthcare analytics: A knowledge transfer initiative

Federated learning and Data Lakehouse for healthcare analytics: A knowledge transfer initiative

This project is designed to leverage from the experience of the German research team in PADME project and to skills transfer to bridge the gap betw...

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Logo - PodoSogN CRC/TRR 422

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 t...

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UNICA logo

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...

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Logo - CODEX

NUM-Codex plus

Development of a nationwide standardised, data protection-compliant infrastructure for the storage and provision of COVID-19 research datasets. Amo...

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Logo - PrivateAIM

PrivateAIM

PrivateAIM (Privacy-preserving Analytics in Medicine) is dedicated to bridging the gap between data privacy and medical innovation. Following the "...

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