Study Sheds Light on the Role of Programmed Cell Death in Endometriosis

Study Sheds Light on the Role of Programmed Cell Death in Endometriosis By Özge Özkaya

Three genes, TNFSF12, AP3M1, and PDK2 could be key biomarkers of programmed cell death in endometriosis, according to a new study published in the peer-reviewed scientific journal Frontiers in Endocrinology. “These findings provide new directions for the early diagnosis and…

Key Points Lay Summary

What are Patients with Endometriosis Discussing Online?

What are Patients with Endometriosis Discussing Online? By Özge Özkaya

People mostly use online health communities about endometriosis to learn about the symptoms of the disease and share their own medical experiences, according to a new study published in the Journal of Minimally Invasive Gynecology. The posts and comments of the…

Key Points Lay Summary

New Predictive Model Can Identify Minimal and Mild Endometriosis

New Predictive Model Can Identify Minimal and Mild Endometriosis By Özge Özkaya

Researchers from China developed a predictive model that can identify minimal and mild endometriosis in infertile women. The paper appeared in the March 2024 issue of the Journal of Minimally Invasive Gynecology. “This model would assist clinicians in screening infertile…

Key Points Lay Summary

Endometriosis Prediction by "Machine Learning"

Endometriosis Prediction by By Selma Oransay

To develop a predictive model for endometriosis and to re-assess the contribution of known risk factors, Blass et al. from the Hebrew University of Jerusalem, Jerusalem, Israel used the data of the UK biobank by machine learning-based models. They compared and…

Key Points Lay Summary

Machine learning tools to predict endometriosis

Machine learning tools to predict endometriosis By Bahar Yuksel

The current gold standard diagnostic method for endometriosis is the surgical diagnosis and yet no approaches have been found to replace it. In the study conducted by Sofiane Bendifallah et al, the authors aimed to use machine learning algorithms to…

Key Points Lay Summary

Machine Learning Classifiers for Endometriosis

Machine Learning Classifiers for Endometriosis By Dr. Youngran Park

Endometriosis is a complicated gynecological disorder that affects about 176 million women worldwide. It significantly impairs mental and physical quality of life in patients but the etiology is poorly understood. Endometriosis also causes a large economic burden due to loss…

Key Points Lay Summary