Jena, October 7, 2026

How can medical data be utilized for research and AI applications without compromising patient privacy? This central question was the focus of the AVATAR Transfer Annual Congress, held on October 7, 2026, at the Volkshaus Jena. The Institute for Medical Informatics (IMI) of the University of Münster was represented by research associate Daniel Preciado-Marquez, who delivered a presentation and presented a poster as part of the KI-AIM2 research project.

In his presentation, Daniel Preciado-Marquez detailed the further development of the open-source platform Cinnamon within the KI-AIM2 project. Originally developed in the predecessor project KI-AIM, the software combines medical data anonymization techniques with methods for generating synthetic data and assessing both data privacy and data quality. In the current project, Cinnamon is being expanded to securely process unstructured information, such as medical letters and reports, in addition to structured data.

This topic was also the core of his poster titled "Joint Anonymization of Free Text and Structured Data in Cinnamon" The contribution focused on the simultaneous anonymization of free text and structured data—a crucial step in making diverse medical information sources compliant with data protection regulations for use in research and AI applications.

Around 60 participants from academia, industry, medicine, politics, and society gathered in Jena to discuss the transfer of privacy-compliant solutions into practical application. The congress highlighted that secure processes and public trust are essential prerequisites for responsibly unlocking the potential of medical data for research and innovation.