Towards Artificial General Intelligence (AGI) for healthcare
Horizon Europe
Per project€3M
1 phase
Deadline:2027-09-22
FundingLump Sum
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Strategic Analysis
This CSA call aims to position Europe as a global leader in AGI for healthcare by fostering a multidisciplinary stakeholder community, creating a roadmap for frontier AI models, and ensuring alignment with EU regulatory and ethical frameworks. Winning proposals will emphasize community-building, regulatory foresight, and data interoperability while demonstrating clear pathways to scalable, trustworthy AGI solutions that enhance personalised medicine and healthcare efficiency.
Scope Activities (4)
SC1
Community building: build a large-scale and diverse pan-European community of stakeholders with the multidisciplinary expertise united as required to develop the next generation of frontier AI models for healthcare, towards AGI for healthcare, with a view to leveraging as a community the potential of AI Factories. Where relevant, this should build on and strengthen existing EU-funded communities and networks, and could pave the way for a formalised long-term collaboration under one of the available EU instruments.
SC2
Roadmap creation: review previous research to identify the most promising AI models and model development approaches. In addition, risk assess and review evidence on safety and efficacy of existing AI models with reference to the AI Act, related regulatory provisions (including any jurisprudence) and ethical and security considerations, so that frontier AI model development can proceed on a well-informed basis. Finally, create a roadmap for developing the next generation of frontier AI models.
SC3
Dataset identification, curation, expansion and use: i) identification: identify the most suitable existing datasets for the development of frontier AI models for healthcare, ii) curation: identify how to validate the datasets, ensure dataset interoperability, and convert datasets into formats suitable for frontier AI model development, iii) expansion: identify additional datasets and/or annotations required for frontier AI model development, especially to ensure that datasets are representative and iv) use: identify methods and required infrastructure to allow privacy-preserving use and further expansion of the datasets in alignment with and through the EHDS.
SC4
Frontier AI model preparatory activities: mapping approaches for training and evaluating frontier AI models (e.g. approaches to combine foundation models for life sciences and healthcare delivery in order to develop more advanced and multidisciplinary models towards personalised medicine). The approaches should cover all trustworthy AI aspects.
Expected Outcomes (3)
EO1
Researchers and innovators benefit from an improved understanding of how to develop and use the next generation of frontier Artificial Intelligence (AI) models for healthcare, including how to leverage AI Factories and how to combine and expand the capabilities of existing foundation models towards inclusive and personalised medicine.
EO2
Researchers and innovators benefit from an improved understanding of how to leverage highly heterogeneous and multimodal health data spanning a range of anatomical scales (i.e. the micro to the macro level).
EO3
Multidisciplinary stakeholders have access to a collaboratively created roadmap for developing the next generation of frontier AI models for healthcare, towards Artificial General Intelligence (AGI) for healthcare.
Towards Artificial General Intelligence (AGI) for healthcare — HORIZON | GrantForge