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.

It is our pleasure to invite you to the 2nd International NephroCAGE Symposium taking place on Tue Aug 16, 2022 at […]
Two kidney-disease patients will share their patient journey with us. This part focuses on the time when they received the donor organ.
In this series of articles, two kidney disease patients John and Jane (aliases) will share their personal patient journey with us. This part focuses on the time when they were receiving the diagnosis of kidney disease.
Data protection
Hasso Plattner Institute for Digital Engineering gGmbH, Owner: Prof. Dr. Christoph Meinel (Registered business address: Germany), processes personal data only to the extent strictly necessary for the operation of this website. All details in the privacy policy.
Data protection
Hasso Plattner Institute for Digital Engineering gGmbH, Owner: Prof. Dr. Christoph Meinel (Registered business address: Germany), processes personal data only to the extent strictly necessary for the operation of this website. All details in the privacy policy.