AIMC Topic: Estradiol
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Interpreting IGF-1 in children treated with recombinant growth hormone: challenges during early puberty.
Frontiers in endocrinology
Jan 21, 2025
OBJECTIVE: It can be challenging to determine the correct dosage of recombinant growth hormone (GH) in children with GH deficiency, leading to highly variable treatment responses. Insulin-like growth factor-1 (IGF-1) is a tool for monitoring GH treat...
Estrogen-mediated modulation of sterile inflammatory markers and baroreflex sensitivity in ovariectomized female Wistar rats.
Archives of endocrinology and metabolism
Nov 6, 2024
OBJECTIVE: This study aims to explore the role of estrogen in providing cardioprotective benefits to premenopausal women, examining how hormonal differences between sexes influence the prevalence of cardiovascular diseases (CVDs) in women.
Improving the detection accuracy of the dual SERS aptasensor system with uncontrollable SERS "hot spot" using machine learning tools.
Analytica chimica acta
Apr 19, 2024
BACKGROUND: Simultaneous detection of food contaminants is crucial in addressing the collective health hazards arising from the presence of multiple contaminants. However, traditional multi-competitive surface-enhanced Raman scattering (SERS) aptasen...
Comparison of hybrid RNA-based models to predict the degradation and mineralization of the microcontaminant hormone 17β-estradiol.
Chemosphere
Dec 4, 2023
New alternatives for effluent decontamination, such as electrochemical oxidation, are being developed to provide adequate removal of endocrine disruptors such as 17β-estradiol in wastewater. In this study, data-driven models of response surface metho...
Artificial Intelligence-Augmented Electrocardiogram in Determining Sex: Correlation with Sex Hormone Levels.
Mayo Clinic proceedings
Feb 1, 2023
OBJECTIVE: To study the relationship between the sex probability derived from the artificial intelligence (AI)-augmented electrocardiogram (ECG) and sex hormone levels.
Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm.
Frontiers in endocrinology
Nov 2, 2021
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceive a baby successfully. Nevertheless, IVF-ET does not guarantee success. Frozen embryo transfer (FET) is an important supplement to IVF-ET. Many factor...
An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.
Reproductive biomedicine online
Oct 20, 2021
RESEARCH QUESTION: Can workflow during IVF be facilitated by artificial intelligence to limit monitoring during ovarian stimulation to a single day and enable level-loading of retrievals?
Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology.
Aging
May 17, 2021
The prediction of poor ovarian response (POR) for stratified interference is a critical clinical issue that has received an increasing amount of recent concern. Anthropogenic diagnostic modes remain too simple for the handling of actual clinical comp...
Cohort Studies
Estradiol
Support Vector Machine
Infertility, Female
Models, Statistical
Algorithms
Prospective Studies
Female
Adult
Ovarian Follicle
Ovary
Reproductive Techniques, Assisted
Decision Trees
Predictive Value of Tests
Anti-Mullerian Hormone
Models, Biological
Humans
Neural Networks, Computer
Machine Learning
Dry olive leaf extract attenuates DNA damage induced by estradiol and diethylstilbestrol in human peripheral blood cells in vitro.
Mutation research. Genetic toxicology and environmental mutagenesis
Dec 21, 2018
Phenolic groups of steroidal or nonsteroidal estrogens can redox cycle, leading to oxidative stress, where creation of reactive oxygen species are recognized as the main mechanism of their DNA damage properties. Dry olive (Olea europaea L.) leaf extr...
Olea
Blood Cells
Comet Assay
Diethylstilbestrol
Estrogen Antagonists
Free Radical Scavengers
Plant Leaves
Oxidation-Reduction
DNA Damage
Young Adult
Drug Evaluation, Preclinical
Antioxidants
Adult
Humans
Plant Extracts
Male
Female
Dose-Response Relationship, Drug
Oxidative Stress
Reactive Oxygen Species
Estradiol
Using person-specific neural networks to characterize heterogeneity in eating disorders: Illustrative links between emotional eating and ovarian hormones.
The International journal of eating disorders
Aug 21, 2018
OBJECTIVE: Emotional eating has been linked to ovarian hormone functioning, but no studies to-date have considered the role of brain function. This knowledge gap may stem from methodological challenges: Data are heterogeneous, violating assumptions o...
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