Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort.
To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort.
Surgically confirmed severe endometriosis is associated with lower risk of steatotic liver disease: Evidence of estrogen-linked hepatic-reproductive crosstalk.
The prevalence of steatotic liver disease (SLD) is increasing globally. Endometriosis, affecting up to 10% of women, is a major cause of infertility. While associations between endometriosis and metabolic syndrome …
Anti-NRP1 peptide-engineered ROS/pH dual-responsive nanoparticles for Alpelisib delivery regulate Sema3A-NRP1/PI3K-AKT signaling to balance oxidative stress and inhibit angiogenesis in endometriosis.
Endometriosis progression is driven by oxidative stress and excessive angiogenesis within an inflammatory microenvironment. To overcome these challenges, we designed ROS/pH dual-responsive Alpelisib-loaded nanoparticles (Alp@TAT-AT7-NPs) functionalized with an anti-NRP1 peptide …