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Interpretable machine learning models for predicting clinical pregnancies associated with surgical sperm retrieval from testes of different etiologies: a retrospective study

• Authors : Shun-shun Cao; Xiao-ming Liu; Bo-tian Song

Subjects: Surgical sperm retrieval; Clinical pregnancy; Machine learning

• Source: BMC Urology, Vol 24, Iss 1, Pp 1-12 (2024)

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Role of Follicle-stimulating Hormone, Inhibin B, and Anti-Müllerian Hormone in Predicting Sperm Retrieval from Men with Nonobstructive Azoospermia Undergoing Microdissection Testicular Sperm Extraction: A Systematic Review and Meta-analysis

• Authors : Edoardo Pozzi; Christian Corsini; Federico Belladelli

Subjects: Azoospermia; Sperm retrieval; Follicle-stimulating hormone

• Source: European Urology Open Science, Vol 65, Iss , Pp 3-12 (2024)

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Machine Learning Based-Personalized Prediction of Sperm Retrieval Success Rate

• Source: SpermFinder: Machine Learning Based-Personalized Prediction of Sperm Retrieval in Patients With Nonobstructive Azoospermia Prior to

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Comparison of sperm retrieval rate between superficial and deep dissection during microscopic testicular sperm extraction

• Authors : Hammam Mandourah; Mohammad Alghafees; Hamed Alali

Subjects: azoospermia; infertility; microdissection testicular sperm extraction

• Source: Urology Annals, Vol 16, Iss 1, Pp 108-112 (2024)

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Testicular Proteins for Sperm Retrieval Prediction Protein1, Testis-Expressed Gene 101, and Lectin Galactoside-binding Protein in Predicting Surgical Sperm Retrieval in Men With Non-Obstructive Azoospermia (Genomics)

• Authors : Mohamed Wael Ragab, Lecturer

• Source: The Value of Composite Measurements of Extracellular Matrix Protein1, Testis-Expressed Gene 101, and Lectin Galactoside-binding Protein in Predicting Surgical Sperm

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Comparison of sperm retrieval rate between superficial and deep dissection during microscopic testicular sperm extraction.

• Authors : Mandourah, Hammam¹ (AUTHOR); Alghafees, Mohammad² (AUTHOR); Alali, Hamed³ (AUTHOR)

• Source: Urology Annals. Jan-Mar2024, Vol. 16 Issue 1, p108-112. 5p.

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Clinical parameters as predictors for sperm retrieval success in azoospermia: experience from Indonesia [version 1; peer review: 1 approved, 1 approved with reservations]

• Authors : Ponco Birowo; Sung Yong Cho; Widi Atmoko

Subjects: Sperm Retrieval; Azoospermia; FSH

• Source: F1000Research, Vol 12 (2023)

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Seminal plasma biomarkers for predicting successful sperm retrieval in patients with nonobstructive azoospermia: a narrative review of human studies

• Authors : Junjun Li; Fang Yang; Liang Dong

Subjects: Male infertily; Non-obstructive azoospermia; Surgical testicular sperm extraction

• Source: Basic and Clinical Andrology, Vol 33, Iss 1, Pp 1-13 (2023)

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Factors influencing the sperm retrieval rate of microdissection testicular sperm extraction in patients with nonmosaic Klinefelter syndrome

• Authors : De-Feng Liu; Han Wu; Zhe Zhang

Subjects: klinefelter syndrome; prediction model; sperm retrieval rate

• Source: Asian Journal of Andrology, Vol 25, Iss 6, Pp 704-707 (2023)

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Development of a predictive model for increasing sperm retrieval success by microdissection testicular sperm extraction in patients with nonobstructive azoospermia

• Authors : Chen-Yao Deng; De-Feng Liu; Lian-Ming Zhao

Subjects: anti-müllerian hormone; inhibin b; microdissection testicular sperm extraction

• Source: Asian Journal of Andrology, Vol 25, Iss 5, Pp 598-603 (2023)

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