Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence
- PMID: 39926583
- PMCID: PMC11802455
- DOI: 10.1038/s44294-024-00052-w
Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence
Abstract
Endometriosis is an enigmatic disease whose diagnosis and management are being transformed through innovative surgical, molecular, and computational technologies. Integrating single-cell and other omic disease data with clinical and surgical metadata can identify multiple disease subtypes with translation to novel diagnostics and therapeutics. Herein, we present real-world perspectives on endometriosis and the importance of multidisciplinary collaboration in informing molecular, epidemiologic, and cell-specific data in the clinical and surgical contexts.
Keywords: Diseases; Physiology; Reproductive disorders.
© The Author(s) 2025.
Conflict of interest statement
Competing interestsAll authors declare no financial competing interests. Other competing interests: L.C.G. is on the Editorial Board of npj Women’s Health, and L.C.G. and M.S. are Guest Editors of the npj Women’s Health Collection, “Inflammatory Disorders and Women’s Reproductive Health”.
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