🏛 EU_PORTAL · 📍 EU
€535,000
Jul 3, 2026
Sep 8, 2026
Horizon Europe
Cascade funding (FSTP – Financial Support to Third Parties). > Challenge 3: Generative AI for Enhancement of Clinical DatasetsLed by EUropean Federation for CAncer IMages (EUCAIM), this challenge focuses on using Generative AI to enhance the quality and representativeness of clinical imaging datasets, which are often incomplete or imbalanced. By creating realistic synthetic patient cohorts, the solution aims to fill critical data gaps and harmonise information across various imaging conditions. The system will identify key demographic and clinical characteristics to ensure synthetic data remains realistic and consistent with real-world statistics. Ultimately, the project seeks to improve fairness and reduce bias, enabling the development of trustworthy models that support accurate medical research and clinical decision-making.> Challenge 4: Generative AI for Automatic Test Case Generation from Crash Databases & StandardsLed by Siemens Industry Software NV with the collaboration of EU RobustifAI, this challenge aims to enhance the safety and validation of autonomous driving systems by using Generative AI to automate the creation of simulation scenarios. By transforming accident reports, visual data, and international safety standards into structured, simulation-ready formats, the solution replaces slow, manual processes with a more scalable and consistent workflow. This approach strengthens the link between real-world data and regulatory frameworks, helping teams identify critical safety gaps and complex edge cases. Ultimately, the project will provide technical and regulatory experts with comprehensive scenario sets, significantly improving the efficiency and accessibility of safety assessments for autonomous vehicles.