Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence.

npj women's health Pub Date : 2025-01-01 Epub Date: 2025-02-06 DOI:10.1038/s44294-024-00052-w
Camran R Nezhat, Tomiko T Oskotsky, Joshua F Robinson, Susan J Fisher, Angie Tsuei, Binya Liu, Juan C Irwin, Brice Gaudilliere, Marina Sirota, David K Stevenson, Linda C Giudice
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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.

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通过手术、组学、健康数据和人工智能研究子宫内膜异位症表型的现实世界视角。
子宫内膜异位症是一种神秘的疾病,其诊断和管理正在通过创新的外科、分子和计算技术进行转变。将单细胞和其他组学疾病数据与临床和外科元数据整合,可以识别多种疾病亚型,并转化为新的诊断和治疗方法。在此,我们介绍了子宫内膜异位症的现实世界观点,以及多学科合作在临床和外科背景下提供分子、流行病学和细胞特异性数据的重要性。
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