A single-cell transcriptomic analysis of endometriosis, endometriomas, eutopic endometrial samples and uninvolved ovary tissues highlights cell populations characteristic of these tissue types. Transcriptional and cellular heterogeneity across tissues suggests novel therapeutic targets and biomarkers for this disease.
This repository focuses on using machine learning (ML) to develop a self-diagnostic endometriosis tool based solely on patient-reported symptoms
Bayesian Network aiming to help in endometriosis diagnosis.
Application mobile de suivi d'endométriose
Analysis of the scientific literature on endometriosis (1925-2020)
2022 reminder presentation, presented from April 2022
Analysis of Single-Cell RNA-seq Data to Evaluate the Efficacy of Hormonal Therapy in the Treatment of Endometriosis-Related Pain
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