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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月6日

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  • 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

摘要

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.