Feng Ren

ORCID: 0000-0001-9157-9182 · 3 papers in corpus
observational 2026
Development and Validation of a Predictive Model Using Logistic Regression and Machine Learning for Carotid Artery Atherosclerosis Risk in Postmenopausal Han Women from Northern China: A Retrospective Case-Control Study
International journal of women's health ·doi:10.2147/ijwh.s595246

BACKGROUND: Postmenopausal women are at elevated risk for carotid atherosclerosis due to estrogen decline, yet existing prediction models do not incorporate genetic markers. This study aimed to develop and validate a risk prediction model c…

lab-animal 2025
Utilizing AI for the Identification and Validation of Novel Therapeutic Targets and Repurposed Drugs for Endometriosis
Advanced science (Weinheim, Baden-Wurttemberg, Germany) ·doi:10.1002/advs.202406565

Endometriosis affects over 190 million women globally, and effective therapies are urgently needed to address the burden of endometriosis on women's health. Using an artificial intelligence (AI)-driven target discovery platform, two unrepor…

lab-animal 2023
#296 : Identification and Validation of Two Novel Therapeutic Targets for Endometriosis with Artificial Intelligence (AI)
·doi:10.1142/s2661318223743709

Background and Aims: It is urgent need to develop new-effective and well-tolerable medical treatment for endometriosis, but normal drug development is tedious, costly and time-consuming. Artificial intelligence (AI) is a powerful tool to dr…