AIMC Topic: Luteinizing Hormone
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A diagnostic model for polycystic ovary syndrome based on machine learning.
Scientific reports
Mar 21, 2025
Diagnosis of polycystic ovary syndrome remains a challenge. In this study, we propose constructing a diagnostic model of polycystic ovary syndrome by combining anti-Müllerian hormone with steroid hormones and oestrogens, with the aim of providing mor...
Understanding the role of hormones in pediatric growth: Insights from a double-debiased machine learning approach.
Steroids
Dec 7, 2024
This study investigates the causal relationships between hormone levels and growth and development of children, focusing specifically on height disparities in cases of dwarfism. Besides utilizing double-debiased machine learning approach, the study i...
Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study.
Journal of ovarian research
Aug 21, 2024
BACKGROUND: Accurately predicting ovulation timing is critical for women undergoing natural cycle-frozen embryo transfer. However, the precise predicting of the ovulation timing remains challenging due to the lack of consensus among different clinics...
Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.
Journal of assisted reproduction and genetics
May 31, 2024
PURPOSE: This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting clinical pregnancy outcomes from intrauterine insemination (IUI) and identifying significant factors affecting IUI pregnancy in a large Chinese popula...
Artificial intelligence in the service of intrauterine insemination and timed intercourse in spontaneous cycles.
Fertility and sterility
Jul 23, 2023
OBJECTIVE: To develop a machine learning model designed to predict the time of ovulation and optimal fertilization window for performing intrauterine insemination or timed intercourse (TI) in natural cycles.
Detrimental Effects of Saccharum officinarum Juice on Reproductive Functions of Female Wistar Rats.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Jun 30, 2023
Changing dietary compositions have contributed to the growing epidemic of metabolic diseases with serious impacts on several aspects of health, including reproductive health. Saccharum officinarum juice has a natural sweetness that makes the general...
Artificial intelligence deep learning model assessment of leukocyte counts and proliferation in endometrium from women with and without polycystic ovary syndrome.
F&S science
Jan 22, 2022
OBJECTIVE: To study whether artificial intelligence (AI) technology can be used to discern quantitative differences in endometrial immune cells between cycle phases and between samples from women with polycystic ovary syndrome (PCOS) and non-PCOS con...
Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males.
Urology journal
May 3, 2018
PURPOSE: To evaluate whether an artifical neural network helps to diagnose any chromosomal abnormalities in azoospermic males.
Alterations in bone morphogenetic protein 15, growth differentiation factor 9, and gene expression in granulosa cells in preovulatory follicles of dairy cows given porcine LH.
Theriogenology
Dec 20, 2015
In a previous work, using porcine LH (pLH) in lieu of GnRH for synchronizing ovulation in dairy cows improved pregnancy rates without increasing plasma progesterone concentrations after ovulation. The LH profile is known to remain elevated above basa...
Differential testosterone response to GnRH-induced LH release before and after musth in adult Asian elephant (Elephas maximus) bulls.
Theriogenology
Dec 17, 2015
Bull elephants exhibit marked increases in testosterone secretion during musth, and studies have shown a heightened sensitivity of the testis to GnRH-stimulated testosterone production in musth compared to nonmusth males. However, activity of the hyp...
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