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Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence.

Endometriosis is an enigmatic disease whose diagnosis and management are being transformed through innovative surgical, molecular, and computational technologies. Integrating single-cell and other omic disease data with clinical and surgical …

Published: Feb. 6, 2025, midnight
New MRI Radiomics Model Predicts Endometrial Cancer Biomarkers - Evrim Ağacı

New MRI Radiomics Model Predicts Endometrial Cancer Biomarkers Evrim Ağacı

Published: Jan. 26, 2025, 4 p.m.
Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer - Nature.com

Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer Nature.com

Published: Jan. 25, 2025, 1:15 p.m.
Single-cell dual-omics reveals translational and transcriptional landscapes and regulations in oocytes from ovarian endometriosis patients - Frontiers

Single-cell dual-omics reveals translational and transcriptional landscapes and regulations in oocytes from ovarian endometriosis patients Frontiers

Published: Jan. 23, 2025, 12:09 p.m.
Mapping Human Uterine Disorders Through Single-Cell Transcriptomics.

Disruptions in uterine tissue function contribute to disorders such as endometriosis, adenomyosis, endometrial cancer, and fibroids, which all significantly impact health and fertility. Advances in transcriptomics, particularly single-cell RNA sequencing, …

Published: Jan. 21, 2025, midnight
Improving Replication in Endometrial Omics: Understanding the Influence of the Menstrual Cycle.

The dynamic nature of human endometrial tissue presents unique challenges in analysis. Despite extensive research into endometrial disorders such as endometriosis and infertility, recent systematic reviews have highlighted concerning issues …

Published: Jan. 20, 2025, midnight
The Current Applications of Metabolomics in Understanding Endometriosis: A Systematic Review.

Endometriosis is a common gynecological disease that affects approximately 10-15% of reproductive-aged women worldwide. This debilitating disease has a negative impact on the quality of life of those affected. Despite …

Published: Jan. 14, 2025, midnight
Single-cell and spatial transcriptomic profiling revealed niche interactions sustaining growth of endometriotic lesions.

Endometriosis is a chronic condition with limited therapeutic options. The molecular aberrations promoting ectopic attachment and interactions with the local microenvironment sustaining lesion growth have been unclear, prohibiting development of …

Published: Jan. 11, 2025, midnight
Spatial transcriptomic analysis identifies epithelium-macrophage crosstalk in endometriotic lesions.

The mechanisms underlying the pathophysiology of endometriosis, characterized by the presence of endometrium-like tissue outside the uterus, remain poorly understood. This study aimed to identify cell type-specific gene expression changes …

Published: Jan. 10, 2025, midnight
Proteomics develops test that distinguishes endometriosis stages - BioWorld Online

Proteomics develops test that distinguishes endometriosis stages BioWorld Online

Published: Jan. 9, 2025, 9:46 p.m.
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