This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were screened …
Endometriosis is a chronic condition characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects ~10% of reproductive-aged individuals and is associated with dysmenorrhea and infertility. Although …
Yes, AI can predict your embryo's risk of cancer Axios
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, focusing on the …
(PDF) Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction researchgate.net
Breakthrough pain requiring anesthesiologist intervention occurs in 14-55% of parturients despite labor epidural analgesia, substantially affecting the childbirth experience. Identifying predictive factors may enable more effective, individualized pain management.
Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction Nature
Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study Nature
Endometriosis (EM) is a common hormone-dependent and chronic inflammatory disease affecting women of reproductive age, characterized by pelvic pain, infertility, and reduced quality of life. Laparoscopic surgery is a primary …
Can IVIM MRI be superior to ADC in predicting aggressive subtypes of endometrial carcinoma: new insights into FIGO 2023 classification SpringerOpen