SPP1 as a key modulator of M2 macrophage polarization promotes endometriosis progression via activation of the FAK/PI3K/AKT pathway: A bioinformatics and experimental study.
Endometriosis (EMs) is a gynecological disorder characterized by chronic inflammation and an aberrant immune microenvironment. In this study, we integrated the GSE6364 dataset from the GEO database to identify differentially …
Identification and Validation of Lactate-related gene signatures in endometriosis for clinical valuation and immune characterization by WGCNA and machine learning - Frontiers
Identification and Validation of Lactate-related gene signatures in endometriosis for clinical valuation and immune characterization by WGCNA and machine learning Frontiers
A machine learning approach towards endometriosis screening using infrared spectra of urine.
Endometriosis diagnosis is challenging due to non-specific symptoms that overlap with other gynaecological conditions. This study proposes a non-invasive Machine Learning (ML) ‒ based urine test using Attenuated Total Reflection …
Machine learning prediction of clinical pregnancy in endometriosis patients following fresh IVF/ICSI-ET.
Fresh embryo transfer reduces waiting time and minimizes embryo cryodamage for endometriosis (EM) patients. The current prediction models for fresh embryo transfer outcomes in EM primarily rely on logistic regression, …
Initial results in the automatic visual recognition of endometriosis lesions by artificial intelligence during laparoscopy: a proof-of-concept study.
To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance.