This call aims to support the development and use of robust, trustworthy, and ethical Generative Artificial Intelligence (AI) models to advance biomedical research towards predictive and personalized medicine. Proposals should develop or adapt Generative AI models using large-scale, multimodal biomedical data and demonstrate their added scientific and clinical value through practical use cases. The projects must also address ethical, legal, and societal implications, ensure transparency, explainability, and fairness of the AI models, and involve multidisciplinary consortia including academia, industry, and healthcare professionals. Collaboration, adherence to EU data standards (FAIR, GDPR), and leveraging existing European health data infrastructures and research networks are strongly encouraged.

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.