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.
Comprehensively and confidently navigating Endometriosis and Adenomyosis and their comorbidities. #MaintainerMonth
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.
Analysis of the scientific literature on endometriosis (1925-2020)
Repository for "Endometriosis Online Communities: A Quantitative Analysis"
Deep learning project for endometriosis MRI classification using DenseNet121 and combined T1/T2 MRI data.
Interactive web application to analyize the survival of Endometrial Cancer
Endometriosis - Endometriozis
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
Radiomics decision-support for endometriosis: EfficientNet + XGBoost ensemble on pelvic MRI, with Grad-CAM explanations. Clinical decision support, not diagnosis.
Evidence-based, replicable protocols and rigorous n=1 case studies for endometriosis and adenomyosis. Root-cause framework, no hormonal contraception, WHOOP + Garmin tracked. Part of the EndEndo.io ecosystem.
Application mobile de suivi d'endométriose
Repository for "Evaluation of GPT-4 for Patient Question Answering about Endometriosis"
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