Ting Hao
No ORCID on file
· 4 papers in corpus
· active 2017-2024
OBJECTIVE: The aim of this study is to assess the use of machine learning methodologies in the diagnosis of endometriosis (EM). METHODS: This study included a total of 106 patients with EM and 203 patients with non-EM conditions (like simp…
Objectives: The aim of this study is to investigate the relationship between the Nuclear factor-kappa B (NF-κBp65) and RAS/MEK/ERK signaling cascade and their influence on the proliferation and invasion of endometrial stromal cells. Design:…
This study aimed to investigate the clinical significances of phosphatase and tension homology deleted on chromosome ten (PTEN) and human epidermal growth factor receptor 2 (HER-2) protein expression in endometriosis associated ovarian carc…