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.

Cables linking between two connector fields.
Our immune system has a complicated and unique mechanism of defense against viruses, bacteria and other pathogens entering our bodies. […]
Photo by Robina Weermeijer.
The following article provides background information about treating of kidney disease in Canada and Germany. Subject-matter experts of the NephroCAGE consortium […]
It is our pleasure to invite you to our first NephroCAGE symposium taking place on Thu May 20, 2021 at […]