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Published on | 1 month ago
ProgrammesAI-BOOST and EUCAIM have opened a joint challenge on 'Generative AI for Enhancement of Clinical Datasets'. The challenge opened on 9 July 2026 and closes on 8 September 2026. It is open to teams from academia and industry.
The challenge looks at how generative AI can help improve clinical datasets used in healthcare AI, to address the fact that real-world clinical data can be incomplete, inconsistent or insufficiently representative, affecting the quality and generalisability of AI models. The initiative aims to support approaches such as synthetic data creation, filling missing values and improving dataset completeness.
The competition is run in two phases. Applicants start with a concept note. Five selected teams are due to receive €28,500 each for a five-month development and validation phase, and may then compete for a final prize of €100,000.
An information webinar is scheduled for 22 July 2026 at 11:00 CEST. More information and the application details are available on the dedicated website.
Background:
The initiative is part of AI-BOOST, an EU-funded open challenge prize programme that supports the development and benchmarking of trustworthy, human-centric AI solutions across Europe. Designed to run highly replicable AI open innovation competitions across the EU and Associated Countries, AI-BOOST advances major AI fields while fostering collaboration on trustworthy, human-centric solutions to real-world challenges.
EUCAIM is the European Federation for Cancer Images, also co-funded by the EU.
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The Miricle project, ‘Mine Risk Clearance for Europe’, obtained funding under the European Defence Industrial Development programme call ‘Underwater control contributing to resilience at sea’. The main objective of the project was to achieve a European and sovereign capacity in future mine warfare and create a path for the next generation ‘made in Europe’ countermeasure solutions. In order to realise this objective, Miricle addressed various stages: studies, design, prototyping and testing. These stages inter alia included the successful testing of an XL Unmanned Underwater Vehicle, a protototyped mine disposal system and multiple innovative systems to detect buried mines. Flanders Marine Institute (VLIZ), was one of the five Belgian partners in the consortium. Within the project, VLIZ was able to forward its research on the acoustic imaging of the seabed to spatially map and visualize buried structures and objects - in this case buried mines - in the highest possible detail. VLIZ also led the work on ‘Port and Offshore Testing’, building on the expertise of the institute in the field of marine operations and technology.
