RÖTTGERLAB

We are also focusing on tackling the largest roadblocks of data-driven research on sensitive data: sensitive, medical data is not allowed to leave the safe harbor of storage, therefore impeding the training of complex machine models. Here, we develop novel federated machine learning applications allowing to be train without the need for the sensitive data to ever leave the safe site of storage. The RöttgerLAB is steering board member and work package leader of the H2020 projects "FeatureCloud" and "Screen4Care". In these projects, we are developing in close collaboration with medical doctors, novel federated machine learning techniques which finally enable the training of artificial intelligence on molecular medical data and electronic health records in a secure and privacy-aware manner... In our work, we focus primarily on various aspects of machine learning and data mining of biomedical data and on developing innovative approaches for systems medicine. Many of the projects are..

Primary location: Odense M Denmark