Seeking partners for Horizon Europe Cluster 1 Health 2026

We are a research group led by Dr. Ofir Lindenbaum, with extensive experience in interpretable computational models and foundation models for complex biomedical and health data (especially tabular & omics data). Our work focuses on developing novel machine learning architectures that enhance robustness, interpretability, and clinical utility of predictive models.

Expertise offered:
• Advanced methods for Tabular & Multi-omics data integration
• Interpretable AI / causal & feature-aware architectures
• Self-supervised learning and uncertainty quantification

Seeking:
Project partners and/or a consortium coordinator (depending on interest) to collaborate on Horizon Europe Cluster 1 Health 2026 calls, particularly those involving accelerating new methodologies to advance biomedical research. Including digital health, predictive diagnostics, and AI-driven personalized medicine.

Ideal partners:
Research labs, clinical partners (hospitals and medical centers), SMEs with digital health solutions, and organisations with clinical implementation expertise.

Suggested calls of interest:
Topics under digital tools & solutions, personalised medicine, early disease prediction, and health analytics (please contact for mutual alignment).