Interdisciplinary AI project for analyzing registry data successfully launched

22. August 2025

As part of our registry platforms, we have been generating detailed clinical patient data together with our partner centers for almost 20 years. Structured analysis and pattern recognition are essential to ensure that both research and patients benefit as much as possible from this extensive data treasure trove. AI-based systems can make a significant contribution here.

To advance development in this area, we have initiated a project in cooperation with the Institute for Data Science, Cloud Computing and IT Security (IDACUS) at Furtwangen University (HFU). In May 2024, the project “Development of an AI-supported information system for oncologists” funded by the Federal Ministry of Education and Research (BMFTR) was launched. The aim of the project is to develop an AI system that enables research oncologists to analyze cancer registries across institutions. The identification and presentation of complex patterns in data on different cancer entities is an essential aspect of the project. The usefulness of real-world data for medical research can be increased through machine learning.

The interdisciplinary team’s development approach is based on the principle of “federal learning.” AI models are trained decentrally on real-world data from different institutions. This increases the performance of the models while maintaining patient data protection.

iOMEDICO’s medical expertise and many years of experience with real-world oncology data complement the IDACUS Institute’s expertise in data science and IT security perfectly in this forward-looking project.