AIMC Topic: Endometrium
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Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients.
Frontiers in immunology
Apr 1, 2021
Recurrent reproductive failure (RRF), such as recurrent pregnancy loss and repeated implantation failure, is characterized by complex etiologies and particularly associated with diverse maternal factors. It is currently believed that RRF is closely a...
Using machine learning to create prognostic systems for endometrial cancer.
Gynecologic oncology
Oct 2, 2020
OBJECTIVE: We used a novel machine learning algorithm to develop a precision prognostication system for endometrial cancer.
Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms.
IEEE journal of biomedical and health informatics
Oct 1, 2019
Uterine cancer (also known as endometrial cancer) can seriously affect the female reproductive system, and histopathological image analysis is the gold standard for diagnosing endometrial cancer. Due to the limited ability to model the complicated re...
Effect of imatinib on growth of experimental endometriosis in rats.
European journal of obstetrics, gynecology, and reproductive biology
Dec 25, 2015
OBJECTIVE: Currently, medical and surgical treatment options for endometriosis are limited due to suboptimal efficacy, and also safety and tolerance issues. Long-term use of gonadotrophin-releasing hormone analogs, androgenes, and the danazol, which ...
Anastrozole
Peritoneal Diseases
bcl-2-Associated X Protein
Proto-Oncogene Proteins c-kit
Nitriles
Endometriosis
Aromatase Inhibitors
Vascular Endothelial Growth Factor A
Triazoles
Female
Cell Proliferation
Ovarian Follicle
Transplantation, Autologous
Animals
Angiogenesis Inhibitors
Peritoneum
Rats
Endometrium
Imatinib Mesylate
Disease Models, Animal
Upregulation of immune genes in the proliferative phase endometrium enables classification into women with recurrent pregnancy loss versus controls.
Human reproduction (Oxford, England)
Jun 1, 2025
STUDY QUESTION: Does the transcriptome of preconceptional endometrium in the proliferative phase show a specific profile in women with recurrent pregnancy loss (RPL)?
A deep learning tissue classifier based on differential co-expression genes predicts the pregnancy outcomes of cattle†.
Biology of reproduction
Mar 16, 2025
Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies found that the transcriptomic profiles of blood and endometrial tissues in cattle with varying pregnancy outcomes display discrepancies even before artifi...
Machine learning to identify endometrial biomarkers predictive of pregnancy success following artificial insemination in dairy cows†.
Biology of reproduction
Jul 12, 2024
The objective was to identify a set of genes whose transcript abundance is predictive of a cow's ability to become pregnant following artificial insemination. Endometrial epithelial cells from the uterine body were collected for RNA sequencing using ...
Breaking the ageing paradigm in endometrium: endometrial gene expression related to cilia and ageing hallmarks in women over 35 years.
Human reproduction (Oxford, England)
Apr 1, 2022
STUDY QUESTION: Does age affect endometrial gene expression?
Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation process during assisted reproduction. The JZ changes throughout the hormone stimulation cycle and has predictive value for implantation success. Desp...
A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.
International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists
Jul 1, 2020
Benign normal (NL), premalignant (endometrial intraepithelial neoplasia, EIN) and malignant (cancer, EMCA) endometria must be precisely distinguished for optimal management. EIN was objectively defined previously as a regression model incorporating m...
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