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An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach.
Syst Biol Reprod Med
December 2025
Department of Mathematics and Computer Science, Laboratory of Analysis, Modeling and Simulation, Faculty of Sciences Ben M'sik, Hassan II University of Casablanca, Casablanca, Morocco.
Infertility has emerged as a significant public health concern, with assisted reproductive technology (ART) is a last-resort treatment option. However, ART's efficacy is limited by significant financial cost and physical discomfort. The aim of this study is to build Machine learning (ML) decision-support models to predict the optimal range of embryo numbers to transfer, using data from infertile couples identified through literature reviews.
View Article and Find Full Text PDFSuppression of TLR4/NF-κB signaling by kaurenoic acid in a mice model of monosodium urate crystals-induced acute gout.
Arch Biochem Biophys
January 2025
Pharmacological Sciences Research Lab, Department of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan; Department of Pharmacy, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan. Electronic address:
Aim: The aim of the current study was to investigate the potential therapeutic effect of kaurenoic acid (KA) against Monosodium Urate Crystals (MSU)- induced acute gout by downregulation of NF-κB signaling pathway, mitigating inflammation and oxidative stress produced by MSU crystals. KA potentially targeted NF-κB pathway activation and provided comprehensive insights through multiple approaches. This was accomplished by advanced analytical techniques.
View Article and Find Full Text PDF[Age-stratified association between preconception body mass index and risk of macrosomia at delivery].
Zhonghua Fu Chan Ke Za Zhi
January 2025
Hospital Administration Office, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing100026, China.
To investigate the impact of preconception body mass index (BMI) on neonatal birth weight and the risk of macrosomia in pregnant women across various age groups. A cohort study was conducted, selecting pregnant women who underwent their initial prenatal assessment at Beijing Obstetrics and Gynecology Hospital from September 1st, 2018 to March 31st, 2020. Relevant data were collected from the hospital's electronic medical record system.
View Article and Find Full Text PDFMenstrual cycle characteristics across the reproductive lifespan and cognitive function in midlife women.
Am J Obstet Gynecol
January 2025
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Background: Menstrual cycle characteristics are potential indicators of hormonal exposures and may also signal cardiovascular disease risk factors, both of which are relevant to cognitive health. However, there is scarce epidemiological evidence on the association between cycle characteristics and cognitive function.
Objectives: We studied the associations of menstrual cycle characteristics at three stages of a woman's reproductive lifespan with cognitive function in midlife.
Plasma Lipid Profile Among Perimenopausal Latvian Women in Relation to Dietary Habits.
Nutrients
January 2025
Faculty of Agriculture and Food Technology, Latvia University of Life Sciences and Technologies, LV-3001 Jelgava, Latvia.
Hormonal changes throughout a woman's life cycle significantly affect serum lipid levels. Alterations in the serum lipid profile can increase the risk of cardiovascular diseases (CVDs). Additionally, nutrition and dietary habits are crucial for managing dyslipidemia.
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