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Objective: This study sought to estimate population level prevalence of infertility and explored whether time to pregnancy is related to selected factors.

Methods: This study's analysis was based on data collected from 2081 women who were sampled from participants of the 2016 Ethiopia Demographic and Health Survey based on risk of pregnancy criteria: age between 15 and 49 years, currently married or cohabitating, sexually active, not used contraception method during the 5 years before interview, not menopausal, and not pregnant. We used a current duration (CD) approach in which for each woman we calculated the length of time-at-risk of pregnancy (CD value) in months.

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Objective: To build a prediction nomogram for early prediction of live birth probabilities according to number of oocytes retrieved in women ≤ 35 years of age.

Methods: A prediction model was built including 9265 infertile women ≤ 35 years of age accepting their first ovum pick-up cycle from January 2018 to December 2022. Least absolute shrinkage and selection operator (LASSO) regression was performed to identify independent predictors and establish a nomogram to predict reproductive outcomes.

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Background: This study aims to determine the impact of laptop and tablet use on total motile sperm count (TMSC) in men being investigated for assisted reproduction.

Methods: A cross-sectional study was conducted on 156 men attending a fertility clinic in Jamaica. Routine semen analyses were performed and parameters specific to TMSC assessed.

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This systematic review and meta-analysis aimed to summarize the pregnancy outcomes of women di-agnosed with genital tuberculosis (GTB) who spontaneously conceived or underwent intrauterine in-semination (IUI) or in vitro fertilization (IVF) after being treated with antitubercular therapy (ATT). Pub-lications from the PubMed, Medline, Embase, Ovid, Scopus, Web of Science, and Google Scholar data-bases were searched from December 20, 2021, to March 5, 2022. The outcomes are presented as pooled averages with 95% confidence intervals.

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Understanding human endometrial dynamics in the establishment of endometrial receptivity remains a challenge, which limits early diagnosis and treatment of endometrial-factor infertility. Here, we decode the endometrial dynamics of fertile women across the window of implantation and characterize the endometrial deficiency in women with recurrent implantation failure. A computational model capable of both temporal prediction and pattern discovery is used to analyze single-cell transcriptomic data from over 220,000 endometrial cells.

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