Next-Generation Endometriosis Diagnostics Through Comprehensive Multi-Dimensional Analysis

This study is a multicentric, observational, case-control, non-profit with additional procedures. It aims to deepen the understanding of the chronic gynecological conditions of endometriosis and adenomyosis, which significantly impact women's reproductive health. Its purpose is to improve early diagnosis and personalized treatment of these conditions using a multi-omic approach, that integrates genetic, epigenetic, imaging, and endometrial receptivity data. The goal is also to refine image-based predictions through recent advancements in artificial intelligence and to study uterine extracellular vesicles to assess fertility non-invasively. The study targets patients with endometriosis and/or adenomyosis and involves women seeking fertility treatments at assisted reproduction centers, who will serve as a control population. The study comprises both prospective and retrospective components. The prospective recruitment involves the collection of blood and uterine fluid samples, while the retrospective element utilizes pre-existing biobank samples for comprehensive genetic and epigenetic analysis.