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 w...
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| Main Authors: | 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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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | npj Women's Health |
| Online Access: | https://doi.org/10.1038/s44294-024-00052-w |
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