HORIZON-JU-IHI-2023-05-04
Maximising the potential of synthetic data generation in healthcare applications
Plain-language summary
Research on synthetic data generation to enhance healthcare applications using AI and machine learning.
This call focuses on developing synthetic data generation techniques for healthcare. It aims to improve AI and machine learning applications in clinical and imaging data. Projects should explore innovative methods to maximize synthetic data's potential in health contexts.
Likely relevant for
- AI researchers in healthcare
- Health data scientists
- Medical imaging experts
- Machine learning developers
- Clinical data analysts
Project signals
projects involving synthetic health datawork on AI for healthcareinitiatives on data privacy and augmentationresearch on imaging and clinical data processing
What it funds
- Development of synthetic data generation methods for healthcare
- Application of AI and machine learning to synthetic health data
- Enhancement of clinical and imaging data processing using synthetic data
- Innovative approaches to maximize synthetic data utility in health applications
Expected outcomes
- Improved synthetic data tools for healthcare research
- Enhanced AI models trained on synthetic data
- Better clinical decision support systems using synthetic data
- Increased data availability while preserving privacy
Who can apply / participate
- Research organizations
- Universities
- Healthcare companies
- SMEs
- Consortia including multiple partners
- Check if single applicants or consortia are required
- EU Member States and associated countries likely eligible
- Must comply with Innovative Health Initiative JU rules
- Participants should have relevant expertise in healthcare and AI
- Exact consortium size and composition
- Specific country eligibility
- Funding rates and budget limits
Must check before shortlisting
- specific eligibility criteria
- budget and funding rates
- consortium requirements
Money
Budget details not stated; check official call documents for funding amounts and rates.
Application notes
- Single-stage submission model.
Derived from official EU Funding portal source · updated 2 Jul 2026, 10:49 UTC. Use this as a shortlisting aid; the official call text remains authoritative.
Official source text
Fine print from the EU source record. Expand when you need the original wording.