Faculty Opinions recommendation of Endometriosis: current challenges in modeling a multifactorial disease of unknown etiology.
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This review discusses challenges in endometriosis modeling due to the disease's multifactorial nature and unknown etiology, proposing AI, 3D cultures, and organ-on-chip models for better understanding and treatment development.
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Abstract
Endometriosis is a chronic inflammatory hormone-dependent condition associated with pelvic pain and infertility, characterized by the growth of ectopic endometrium outside the uterus. Given its still unknown etiology, treatments usually aim at diminishing pain and/or achieving pregnancy. Despite some progress in defining mode-of-action for drug development, the lack of reliable animal models indicates that novel approaches are required. The difficulties inherent to modeling endometriosis are related to its multifactorial nature, a condition that hinders the recreation of its pathology and the identification of clinically relevant metrics to assess drug efficacy. In this review, we report and comment endometriosis models and how they have led to new therapies. We envision a roadmap for endometriosis research, integrating Artificial Intelligence, three-dimensional cultures and organ-on-chip models as ways to achieve better understanding of physiopathological features and better tailored effective treatments. PMID: 32787880
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- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- unpaywall
- last seen: 2026-08-18T06:27:49.008893+00:00
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