Open innovation: Addressing Grand challenges in AI (AI Data and Robotics Partnership) (CSA)

European Commission

<p><a href="https://aiboost-project.eu/wp-content/uploads/2026/07/AI-BOOST_Challenge-3-Generative-AI-for-enhancement-of-clinical-datasets.pdf" rel="noopener noreferrer" target="_blank"> > </a><strong><a href="https://aiboost-project.eu/wp-content/uploads/2026/07/AI-BOOST_Challenge-3-Generative-AI-for-enhancement-of-clinical-datasets.pdf" rel="noopener noreferrer" target="_blank">Challenge 3:</a></strong><a href="https://aiboost-project.eu/wp-content/uploads/2026/07/AI-BOOST_Challenge-3-Generative-AI-for-enhancement-of-clinical-datasets.pdf" rel="noopener noreferrer" target="_blank"> Generative AI for Enhancement of Clinical Datasets</a></p><p>Led by <strong><u><a href="https://cancerimage.eu/" rel="noopener noreferrer" target="_blank">EUropean Federation for CAncer IMages (EUCAIM)</a></u></strong>, 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.</p><p><br></p><p><strong><a href="https://aiboost-project.eu/wp-content/uploads/2026/07/AI-BOOST-Challenge-4-Generative-AI-for-automatic-test-case-generation-from-crash-databases-and-standars.pdf" rel="noopener noreferrer" target="_blank">> Challenge 4: </a></strong><a href="https://aiboost-project.eu/wp-content/uploads/2026/07/AI-BOOST-Challenge-4-Generative-AI-for-automatic-test-case-generation-from-crash-databases-and-standars.pdf" rel="noopener noreferrer" target="_blank">Generative AI for Automatic T

Tipo

Finanza agevolata

Territorio

Tutta Italia

Scadenza

8 settembre 2026

Tempo rimanente

Scade tra 4 giorni

Importo

535.000 €

Natura

bando_competitivo

Fonte

Portale UE Funding & Tenders

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3 settembre 2026

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