Supports AI-driven development and clinical validation of predictive biomarkers for chronic non-communicable diseases using integrated clinical and real-world data.
Funder: European Commission
Due Dates: April 13, 2027 (Stage 1) | September 22, 2027 (Stage 2)
Funding Amounts: €6–8 million per project | Approx. 6 projects funded | Project duration typically 3–5 years
Summary: Funds development and clinical validation of AI-driven predictive biomarkers for chronic non-communicable diseases (excluding cancer) using integrated clinical and real-world data.
This grant supports collaborative research projects focused on the clinical development of predictive biomarkers for chronic non-communicable diseases (excluding cancer), leveraging established artificial intelligence (AI) methodologies. The aim is to integrate data from clinically used and candidate biomarkers with longitudinal and real-world clinical data to generate novel, multimodal predictive biomarkers. Projects should establish multidisciplinary collaborations, map and evaluate existing biomarker data, adapt and apply AI methods to identify new predictive biomarkers, and develop user-friendly decision-support tools for clinicians. Emphasis is placed on AI trustworthiness, bias assessment, and privacy compliance. Proposals are expected to validate biomarkers in independent cohorts, develop regulatory strategies for clinical qualification, and prioritize the exploitation of research outputs within the EU, with encouragement for SME participation and networking with related EU-funded projects.