Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence
Camran Nezhat, Tomiko Oskotsky, Joshua F. Robinson, Susan J. Fisher, Angie Tsuei, Binya Liu, Juan C. Irwin, Brice Gaudillière, Marina Sirota, David K. Stevenson, Linda C. Giudice
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.
Topics & Concepts
DiseaseEndometriosisOmicsData scienceMedicineBioinformaticsBiologyComputer sciencePathologyEndometriosis Research and TreatmentUterine Myomas and TreatmentsEndometrial and Cervical Cancer Treatments