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Identification of novel cytoskeleton protein involved in spermatogenic cells and sertoli cells of non-obstructive azoospermia based on microarray and bioinformatics analysis.
BMC Med Genomics
January 2025
Department of Surgery, Faculty of General of Medicine, Koya University, Koya, Kurdistan Region - F.R., KOY45, Iraq.
Background: During mammalian spermatogenesis, the cytoskeleton system plays a significant role in morphological changes. Male infertility such as non-obstructive azoospermia (NOA) might be explained by studies of the cytoskeletal system during spermatogenesis.
Methods: The cytoskeleton, scaffold, and actin-binding genes were analyzed by microarray and bioinformatics (771 spermatogenic cellsgenes and 774 Sertoli cell genes).
[Research advances of diagnosis and treatment of rectovaginal septum endometriosis].
Zhonghua Fu Chan Ke Za Zhi
January 2025
Carcinosarcoma of the fallopian tube: A rare case with rapid metastases and port-site metastasis.
Int J Surg Case Rep
January 2025
Department of Obstetrics and Gynecology, Moriya Daiichi General Hospital, Moriya, Ibaraki, Japan.
Introduction And Importance: Fallopian tube cancer, particularly the carcinosarcoma subtype, is a rare malignancy posing diagnostic challenges.
Case Presentation: Our patient was an 83-year-old, nulligravida woman, presented to our outpatient clinic with one month of pelvic pain. On examination, a pelvic mass was detected.
Characterization of Self-Cured Silicone Oils for Encapsulation of Ultraviolet-C Light-Emitting Diodes.
Polymers (Basel)
January 2025
HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen 518000, China.
The effectiveness of ultraviolet-C light-emitting diodes (UVC LEDs) is currently limited by the lack of suitable encapsulation materials, restricting their use in sterilization, communication, and in vivo cancer tumor inhibition. This study evaluates various silicone oils for UVC LED encapsulation. A material aging experiment was conducted on CF1040 (octamethylcyclotetrasiloxane), HF2020 (methyl hydro polysiloxanes), and MF2020-1000 (polydimethylsiloxane) under UVC radiation for 1000 h.
View Article and Find Full Text PDFPredicting Semen Analysis Parameters from Testicular Ultrasonography Images Using Deep Learning Algorithms: An Innovative Approach to Male Infertility Diagnosis.
J Clin Med
January 2025
Department of Urology, Faculty of Medicine, Recep Tayyip Erdogan University, 53000 Rize, Turkey.
Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness of artificial intelligence (AI)-driven deep learning algorithms in predicting semen analysis parameters based on testicular ultrasonography images. This study included male patients aged 18-54 who sought evaluation for infertility at the Urology Outpatient Clinic of our hospital between February 2022 and April 2023.
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