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Funding for Innovative Data Analytics in Women’s Health and Gender‑Sensitive Medicine

Expected Outcome

To enhance the quality and representativeness of health data for women, to create transparent bias‑mitigation techniques, and to deliver AI models that support gender‑sensitive diagnostics and therapies. The call seeks to close the Gender Data Gap in clinical research.

Scope

Inter‑ and transdisciplinary research projects that analyse existing health datasets for women’s health and gender‑sensitive medicine using innovative data‑driven methods (e.g., AI, modelling). Projects must optimise dataset representation of females, develop bias‑detection tools, and improve or adapt analytical approaches to reduce sex‑specific distortions.

Partner Requests

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