Medical Use Case

Thousand of patients are suffering for kidney insufficiency requiring regular dialysis. These patients are waiting even yeas for donor organ, which are limited. However, the risk of graft rejection or failure are unpredictable. NephroCAGE combines multi-dimensional data from historic transplant cases with latest artificial intelligence algorithms to explore new risk factors for organs rejection.

Technological INNOVATION

The combination of clinical data, lab data, and genetic data requires adequate tools. NephroCAGE develops a federated infrastructure for machine learning, which enables secure and reproducible exchange of clinical prediction models between partners.    

International Expertise

The combination of Canadian and German expertise helps to cover specifics from all over the world making clinical prediction models more reliable. NephroCAGE combines latest artificial intelligence algorithms with modern transfer learning techniques improving the quality of model predictions.

Latest News

Read the latest news from the NephroCAGE team here.
Stay tuned to learn more about AI in nephrology, we keep you posted.

Federated learning infrastructures enable privacy-preserving use of healthcare data for development of AI models for kidney transplantation.
Matthias Niemann receiving the ASHI Scholar Award in Las Vegas. (Photo M. Niemann)
The American Society for Histocompatibility and Immunogenetics (ASHI) is an international society of professionals dedicated to advancing the science, education […]
Two kidney-disease patients will share their patient journey with us. This part focuses on the rehab time after the completed surgery.
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Data protection
We, Hasso Plattner Institute for Digital Engineering gGmbH (Registered business address: Germany), process personal data for the operation of this website only to the extent technically necessary. All details in our privacy policy.