WEO Webinar: Finding Endometriosis using Machine Learning - a bird's-eye view of the FEMaLe project
OA: green
CC0
AI-generated summary
The FEMaLe project is using machine learning to develop a novel, non-invasive method for detecting endometriosis, aiming to improve early diagnosis and treatment.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
My notes (saved in your browser only)
Condition tags
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- openalex
- last seen: 2026-05-10T11:23:21.415031+00:00
License: CC0
· commercial use OK