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An AI-based decision support system for ovarian cancer diagnosis, based on our research leveraging ML and Explainable AI. The system predicts cancer risk and explains decisions to aid healthcare professionals.
A single-cell transcriptomic analysis of endometriosis, endometriomas, eutopic endometrial samples and uninvolved ovary tissues highlights cell populations characteristic of these tissue types. Transcriptional and cellular heterogeneity across tissues suggests novel therapeutic targets and biomarkers for this disease.