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2. Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

9. Major clinical research advances in gynecologic cancer in 2023: a tumultuous year for endometrial cancer

10. Initial experience with the enhanced recovery after surgery (ERAS) protocols in gynecologic surgery at an urban academic tertiary medical center

12. Psychometric validation of the Functional Assessment of Cancer Therapy‐Endometrial among endometrial cancer patients.

13. Practice guidelines for management of uterine corpus cancer in Korea: a Korean Society of Gynecologic Oncology consensus statement.

14. Major clinical research advances in gynecologic cancer in 2023: a tumultuous year for endometrial cancer.

16. Initial Experience of Articulating Laparoscopic Instruments for Benign Gynecologic Disease: A Single-Arm Multicenter Prospective Study (Korean Gynecologic Oncology Group 4002)

19. Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MR.

21. Anti-cancer effect of fenbendazoleincorporated PLGA nanoparticles in ovarian cancer.

27. Feasibility and Surgical Outcomes of Hybrid Robotic Single-Site Hysterectomy Compared with Single-Port Access Total Laparoscopic Hysterectomy.

29. Abstract 6371: Deep learning algorithm for multi-cancer detection and classification using cf-WGS

35. Role of reactive thrombocytosis after primary cytoreductive surgery in advanced ovarian cancer.

36. Single-port access (SPA) laparoscopic myomectomy with uterine artery ligation via a retroperitoneal approach is feasible in women with large uterine leiomyoma

43. Proteomic analysis of young and old mouse hematopoietic stem cells and their progenitors reveals post-transcriptional regulation in stem cells

44. Prognostic Significance of Tumor Regression Rate during Concurrent Chemoradiotherapy in Locally Advanced Cervix Cancer: Analysis by Radiation Phase and Histologic Type

45. Anti-Cancer Activity of As4O6 and its Efficacy in a Series of Patient-Derived Xenografts for Human Cervical Cancer

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