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Browse 1,019 clinical trials for ovarian cancer. Find studies that match your criteria and connect with research centers.
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Showing 261-280 of 1,019 trials
NCT06851429
Ovarian cancer remains the deadliest gynecologic malignancy, with poor survival rates largely due to late-stage diagnosis. Early detection is crucial, yet no universally accepted screening method exists. Current imaging techniques and biomarkers, such as CA-125, have limitations in specificity and sensitivity. This study aims to develop and evaluate a deep learning-based computer-aided diagnosis tool (CAT-OV), for ovarian cancer detection using CT imaging. The system integrates a Body Part Regression (BPR) model for pelvic localization and a Multiple Instance Learning (MIL) ensemble classifier for cancer prediction. The model was trained and validated using retrospective datasets from Taiwan, the United States, and a nationwide real-world cohort. Stringent preprocessing and quality control measures were implemented to enhance model accuracy. Results highlight the potential of AI-driven CT screening in improving early detection, though further validation is needed for clinical adoption.
NCT05427487
This is a Phase 1 open-label, non-randomized, multi-center clinical trial of intratumoral IVX037 as monotherapy and in combination with an immune checkpoint inhibitor in patients with advanced micro satellite-stable (MSS) colorectal cancer, or gastric or ovarian cancer. The study is run in 2 parts. Phase 1a is dose escalation IVX037 monotherapy and Phase 1b is IVX037 with checkpoint inhibitor, sintilimab.
NCT04517357
This is a multicenter, randomized, open-label, 2-arm Phase 2 study to evaluate the efficacy and safety of Fluzoparib with Apatinib versus Fluzoparib alone, as treatment, in relapsed ovarian cancer patients. The study contains a Safety Lead-in Phase in which the safety and tolerability of Fluzoparib+Apatinib will be assessed prior to the Phase 2 portion of the study.