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Endometriosis

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Identification of programmed cell death-related genes and diagnostic biomarkers in endometriosis using a machine learning and Mendelian randomization approach.

Frontiers in endocrinology 39149122
BACKGROUND: Endometriosis (EM) is a prevalent gynecological disorder frequently associated with irregular menstruation and infertility. Programmed cell death (PCD) is pivotal in the pathophysiological mechanisms underlying EM. Despite this, the preci...
Apoptosis Biomarkers Endometriosis Female Gene Expression Profiling Humans Machine Learning Mendelian Randomization Analysis Molecular Docking Simulation Pyruvate Dehydrogenase Acetyl-Transferring Kinase
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FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial.

PloS one 38722932
INTRODUCTION: Endometriosis is a chronic disease that affects up to 190 million women and those assigned female at birth and remains unresolved mainly in terms of etiology and optimal therapy. It is defined by the presence of endometrium-like tissue ...
Adult Early Diagnosis Endometriosis Female Humans Machine Learning Mobile Applications Multicenter Studies as Topic Pelvic Pain Prospective Studies Quality of Life Self Report
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Discriminative diagnosis of ovarian endometriosis cysts and benign mucinous cystadenomas based on the ConvNeXt algorithm.

European journal of obstetrics, gynecology, and reproductive biology 38756053
PURPOSE: The objective of this study was to develop a deep learning model, using the ConvNeXt algorithm, that can effectively differentiate between ovarian endometriosis cysts (OEC) and benign mucinous cystadenomas (MC) by analyzing ultrasound images...
Adult Algorithms Cystadenoma, Mucinous Deep Learning Diagnosis, Differential Endometriosis Female Humans Middle Aged Ovarian Cysts Ovarian Neoplasms Retrospective Studies Sensitivity and Specificity Ultrasonography
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Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online.

Journal of minimally invasive gynecology 39134239
STUDY OBJECTIVE: Use machine learning to characterize the content of endometriosis online community posts and comments.
Adult Endometriosis Female Humans Internet Machine Learning Physician-Patient Relations Retrospective Studies
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Application of machine learning techniques in the diagnosis of endometriosis.

BMC women's health 39237940
OBJECTIVE: The aim of this study is to assess the use of machine learning methodologies in the diagnosis of endometriosis (EM).
Adult Algorithms CA-125 Antigen Endometriosis Female Humans Machine Learning Neutrophils
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Utilizing AI for the Identification and Validation of Novel Therapeutic Targets and Repurposed Drugs for Endometriosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 39666559
Endometriosis affects over 190 million women globally, and effective therapies are urgently needed to address the burden of endometriosis on women's health. Using an artificial intelligence (AI)-driven target discovery platform, two unreported therap...
Animals Artificial Intelligence Cell Proliferation Disease Models, Animal Drug Repositioning Endometriosis Female Humans Mice
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Identification of common diagnostic genes and molecular pathways in endometriosis and systemic lupus erythematosus by machine learning approach and in vitro experiment.

International journal of medical sciences 39744159
Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. Based on GE...
Endometriosis Female Gene Expression Profiling Gene Regulatory Networks Humans Lupus Erythematosus, Systemic Machine Learning MicroRNAs Nomograms ROC Curve
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Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

Human reproduction (Oxford, England) 39724530
STUDY QUESTION: How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?
Adult Algorithms Artificial Intelligence Deep Learning Endometriosis Female Humans Image Processing, Computer-Assisted Immunohistochemistry Machine Learning
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Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study.

Scientific reports 40253412
This study aimed to explore potential risk factors for severe endometriosis and to develop a model to predict the risk of severe endometriosis. A total of 308 patients with endometriosis were analyzed. Least absolute shrinkage and selection operator ...
Adult Algorithms Endometriosis Female Humans Machine Learning Retrospective Studies Risk Assessment Risk Factors Severity of Illness Index Young Adult
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Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Medicine 40193647
Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early diagnosis and personalized treatment. Th...
Biomarkers Endometriosis Female Genome-Wide Association Study Humans Machine Learning Mendelian Randomization Analysis
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