Transforming endometriosis care: lessons from the FEMaLe Project
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The FEMaLe Project identified key challenges and opportunities within endometriosis care, aiming to improve patient management and outcomes.
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Cites (3)
- FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial 2024
- Not “just a bad period”— The impact of a co-created endometriosis social media health campaign: a mixed methods study 2023
- Co-developing a digital mindfulness- and acceptance-based intervention for endometriosis management and care: a qualitative feasibility study 2025
References (5)
- Co-developing a digital mindfulness- and acceptance-based intervention for endometriosis management and care: a qualitative feasibility study via openalex
- FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial via openalex
- Not “just a bad period”— The impact of a co-created endometriosis social media health campaign: a mixed methods study via openalex
- W4324045019 via openalex
- W4410409313 via openalex
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- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0
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