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Tracing Endometriosis: Coupling deeply phenotyped, single-cell based Endometrial Differences and AI for disease pathology and prediction

2024-08-09

Abstract excerpt

Endometriosis, affecting 1 in 9 women, presents treatment and diagnostic challenges. To address these issues, we generated the biggest single-cell atlas of endometrial tissue to date, comprising 466,371 cells from 35 endometriosis and 25 non-endometriosis patients without exogenous hormonal treatment. Detailed analysis reveals significant gene expression changes and altered receptor-ligand interactions present in...

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Literature Corpus work
3a4c8a2a-92ba-5320-8481-0571f9d5fe72
DOI
10.1101/2024.08.09.606959
Open publication

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Tracing Endometriosis: Coupling deeply phenotyped, single-cell based Endometrial Differences and AI for disease pathology and predictionDOI 10.1101/2024.08.09.606959
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