HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)

Expected Outcome:
This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results directed towards and contributing to all the following expected outcomes:

• Researchers, including clinical researchers, have access to robust, trustworthy and ethical Generative Artificial Intelligence (AI)[1] models able to effectively advance biomedical research towards predictive and personalised medicine.
• Researchers, including clinical researchers, know how to use Generative AI models to synthesise the available scientific information and large-scale multimodal data and how to apply the necessary precautions, in order to deliver new knowledge and breakthrough scientific discoveries.
• Research community benefits from advanced methodologies to assess the validity and application of accurate, transparent, traceable, and explainable Generative AI models.

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