Ovarian function and disorders

Abstract Purpose Polycystic ovary syndrome (PCOS) is a complex endocrine disorder involving ovulatory dysfunction, hyperandrogenism, and metabolic disturbances. Systemic inflammation, mitochondrial dysfunction, and elevated oxidative stress have all been asscoiated to androgen excess in PCOS. This study aims to evalua…

• SEDA ATEŞ

This systematic review and meta-analysis synthesize the evidence on the effectiveness of pharmacological, non-pharmacological, and complementary interventions for improving sexual function in women with infertility. Databases searched included PubMed, EMBASE, Web of Science, and ULAKBIM up to January 2026. Data were p…

• AYSU YILDIZ KARAAHMET

OBJECTIVE: To assess the therapeutic significance of routinely aspirating mid-sized follicles (14.0-16.9 mm) during oocyte pick-up (OPU) by looking at procedural efficiency and embryo usage in cycles with varied follicular cohorts. METHODS: In vitro fertilization (IVF) cycles with follicles classified as large (≥17 mm…

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Abstract Background Cyclophosphamide (CYC) is one of the most commonly used chemotherapy drugs, but it carries a high risk of damage to the ovaries. The current study aims to investigate the potential therapeutic effects of Cordycepin on cyclophosphamide (CYC)-induced ovarian damage by evaluating histological and bioc…

Accurate and reliable analysis of sperm motility is critical for assessing male fertility and improving treatment outcomes in assisted reproductive technologies. In this study, we propose an automated sperm motility analysis framework that integrates the YOLOv12n object detector, the BoostTrack++ multi-object tracker,…

Background/Objectives: The manual analysis of sperm morphology, crucial for male infertility diagnosis, is subjective and time-consuming. Automated methods using deep learning, offer a promising alternative; however, standard deep models are prone to overfitting when applied to small, heavily unbalanced clinical datas…

Sperm morphology is one of the most critical indicators of male fertility. This paper presents a deep learning-based approach to classify sperm cells into 18 morphological classes, including one normal and 17 abnormal types. Two state-of-the-art convolutional neural networks, EfficientNetV2-S and ResNet50V2, are emplo…

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CONTEXT: Adrenarche involves maturation of the adrenal zona reticularis (ZR), but its molecular regulation is poorly understood. MicroRNAs (miRNAs) may contribute to adrenal development. OBJECTIVE: To investigate whether circulating miRNAs are associated with ZR maturation during adrenarche and to characterize the fun…

PURPOSE: To comprehensively reassess the clinical and metabolic significance of the luteinizing hormone (LH) to follicle-stimulating hormone (FSH) ratio in women with polycystic ovary syndrome (PCOS), and to investigate whether it is associated with a clinical and hormonal pattern consistent with a possible neuroendoc…

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