Tag Archives: German Federal Ministry for Economic Affairs and Energy

NephroCAGE Logo

Nephrology Disease Cooperation between Canada and Germany (NephroCAGE)

Executive Summary

The German-Canadian consortium NephroCAGE is cooperating to demonstrate the added value of artificial intelligence (AI) using the concrete clinical example of kidney transplantation. Inadequate kidney function requires regular dialysis: there are currently around 100,000 dialysis patients in Germany, and around half that number in Canada. Dialysis costs approximately 30-40k EUR per patient per year. In comparison, a kidney transplant costs around 15-20 thousand euros. In 2019, more than 2,100 kidney transplants were performed in Germany (German Organ Transplant Foundation) and more than 1,700 in Canada (Canadian Institute for Health in Canada). However, suitable donor organs are rare: in Germany, for example, there are more than 7,000 patients on a waiting list, and in Canada more than 3,000. Even after a transplant, there is a risk of complications that can lead to severe limitations in kidney function or, in the worst case, even total loss of the organ.

The consortium partners are creating a learning AI system to match organ donors and recipients even more precisely in advance (matching) and thus prevent risks in kidney transplants. To this end, clinical centers of excellence in both nations are contributing transplant data from the last ten years. They will be analyzed using AI learning techniques and combined together with a novel matching algorithm to create clinical prognostic models for kidney transplant patients. By using a federated learning approach, where the algorithms are executed at the location of the data, data protection is maintained and sensitive health data from both nations can serve as a common basis for clinical prognostic models for the first time. As a result, a clinical demonstrator will be created to serve the exploitation of the medical and technical innovations in the context of care, as well as a basis for exploitation and follow-on projects.

Project Partners

Canada

  • The University of British Columbia, Faculty of Medicine, Department of Pathology and Laboratory Medicine, Vancouver, British Columbia
  • Genome BC, Vancouver, British Columbia 
  • Genome Canada, Ontario, Ottawa 
  • McGill University Health Centre, Montréal, Quebec
  • Genome Quebec, Montréal, Quebec

Germany

 

Publications

Research Publications

    Events

    Sponsors

    The project is generously sponsored by the German Federal Ministry for Economic Affairs and Energy (2021-2022) as project of strategic interest.

    Join us at 2015 Future Convention in Frankfurt

    We are happy to be invited to contribute to the 2015 Future Convention on Nov 23, 2015 in Frankfurt, Germany. We will share latest innovation in the field of precision medicine and drug response analysis using in-memory database technology in course of the Initiative Intelligent Networks sponsored by the German Federal Ministry for Economic Affairs and Energy.

    Smart Analysis Health Research Access (SAHRA)

    Executive Summary

    The aim of the Smart Analysis Health Research Access (SAHRA) cooperation project is to provide scientific analysis methods incorporating latest in-memory database technology for analysis of longitudinal health data. These methods support research and the development of innovative solutions and products by providing real-time analysis of longitudinal health data for the first time. Public and governmental institutes as well as small and mid-sized healthcare enterprises are the target audience of the project. Latest data protection and privacy measures are taken to protect any data on the SAHRA platform in compliance with latest German and International data protection laws.

    Project Partners

    Related Content

    In the following, we assembled related content that might be of your particular interest.

    Events

    Publications

    Research Publications

    • Freitas da Cruz, H., Schneider, F., Schapranow, M.-P.: Prediction of Acute Kidney Injury in Cardiac Surgery Patients: Interpretation using Local Interpretable Model-agnostic Explanations.Proceedings of the 12th International Conference on Biomedical Engineering Systems and Technologies. bll. 380-387. , Prague, Czech Republic (2019). 
    • Konak, O., Freitas Da Cruz, H., Thiele, M., Golla, D., Schapranow, M.-P.: An Information and Communication Platform Supporting Analytics for Elderly Care.5th International Conference on Information for Ageing Well, Communication Technologies e Health (2019). 
    • Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Prediction of Patient Outcomes after Renal Replacement Therapy in Intensive Care.Proceedings of the 3rd International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing (2018). 
    • Freitas da Cruz, H., Gebhardt, M., Becher, F., Schapranow, M.-P.: Interactive Data Exploration Supporting Elderly Care Planning.Proceedings of the 10th International Conference on eHealth, Telemedicine, and Social Medicine (2018). 
    • Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten.Plattform Life Sciences.38--39 (2017). 
    • Schapranow, M.-P.: Datenspendeausweis für ­Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen.Management & Krankenhaus. (2016). 
    • Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., Zahn, T.: Towards An Integrated Health Research Process: A Cloud-based Approach.Proceedings of The IEEE International Conference on Big Data.2813--2818 (2016). 
    • Postel, M.: Geographical Exploration of Key Performance Indicators for Elderly Care Planning, (2016). 
    • Rückert, L.: Real-time Exploration of Healthcare Data using In-Memory Database Technology, (2016). 
    • Horschig, F.: Prediction of Health Research Data using In-Memory Database Technology, (2016). 

    Sponsors

    Contact

    Please feel free to get directly in touch with the experts. Use the following contact form, if you have any open questions you might to share with us.

      First name / Last name

      E-mail address (required)

      Subject

      Message (required)