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Generative-AI based Agents to Revolutionize Medical Diagnosis and Treatment of Cancer

The grant aims to develop interactive Generative AI (GenAI) autonomous agents to enhance cancer diagnosis and treatment. These agents will provide clinicians with a holistic perspective of patient care, integrating multimodal medical imaging and health data, generating synthetic medical data, and improving AI interpretability. The initiative supports groundbreaking research for personalized treatment and predictive diagnosis, fostering innovation in cancer care.

AgencyHorizon Europe
RegionEU
CountryN/A
Legal formCompany, NGO, Government organization, Private person, Other
Start date23 Jul 2025
End date28 Oct 2025
Max funding4,000,000 EUR
Budget120,000,000 EUR
Coverage

Not explicitly stated

Grant application conditions

General Eligibility
  • Proposals must meet general eligibility requirements as per Annex 2 of the EIC Work Programme 2025 and specific eligibility requirements for the Challenge.
Consortium Requirements
  • Consortia of two entities must include independent legal entities from two different Member States or Associated Countries. Consortia of three or more entities must include at least three independent legal entities, each established in a different country, with at least one established in a Member State.
Single Beneficiary Projects
  • Mid-caps and larger companies are not permitted for single beneficiary projects.
Eligible Diseases
  • Proposals must focus on one of the following cancers: breast, cervical, ovarian, prostate, lung, brain, stomach, or colorectal cancer.
Technological and Clinical Areas
  • Technological Area: GenAI-based tools for integrating multidimensional multimodal health data, medical data augmentation, and medical knowledge representation.
  • Clinical Area: Predictive diagnosis and personalized treatment selection.
Ethical Compliance
  • Projects must comply with the EU concept for Trustworthy AI, relevant ethical principles, and the AI Act.
Data Contribution
  • Projects must contribute datasets and developed AI tools to the Cancer Image Europe platform and describe datasets with metadata records in the EU dataset catalogue of the European Health Data Space (EHDS).