AnoMed

Clinical care and smart devices produce more and more sensitive medical data. Artificial intelligence and big-data methods could turn them into more precise medicine, but only if the anonymity of patients is preserved. The competence cluster AnoMed (Anonymization for Medical Applications) researches new anonymisation methods that are provably secure and useful at the same time.

• A test and benchmarking platform where researchers upload anonymisation solutions to be evaluated against medical reference tasks and datasets
• Re-identification attacks and differential privacy methods as pilot solutions
• Legal questions of the GDPR: what do identifiable, anonymous and pseudonymous mean?
• Transfer through challenges and science communication

AnoMed is one of five competence clusters in Germany's national research network on anonymisation. The work continues in AnoMed II since January 2026.

Partners and funding

Coordinated by the University of Lübeck, scientific lead Prof. Esfandiar Mohammadi (Institute for IT Security). Partners are the Independent Centre for Privacy Protection Schleswig-Holstein (ULD), DFKI, the University of Hamburg, the University Hospital Schleswig-Holstein, Fraunhofer IMTE, EppData, Ingrano Solutions, Perfood and UniTransferKlinik Lübeck. Funded by the German Federal Ministry of Research, Technology and Space (then BMBF) and by the European Union – NextGenerationEU.