Thousands of patients are suffering from kidney insufficiency requiring regular dialysis. These patients have to wait years for a matching donor organ due to the limited availability. Gender-specific differences in diagnosis, treatment, and follow-up care are still not sufficiently taken into account for the treatment process. For example, women are up to 20 percent less likely to be placed on the waiting list for a donor kidney, despite having a comparable or better prognosis after transplantation than men.

The combination of clinical data, lab data, and genetic data requires adequate tools. GeGe4Nephro investigates sex-specific risk factors and integrates them into clinical prediction models building upon latest AI algorithms. As a result, the clinical prediction models will support medical experts in optimising treatment alternatives.  

The combination of Canadian and German expertise helps to cover specifics from all over the world making clinical prediction models more reliable. Furthermore, the international network helps to investigate population specifics and facilitate the exchange of new research findings.