IJGC/LinkedIn
Jun 28, 2026, 16:10
A Machine Learning Model to Predict The Risk of CIN2+ – IJGC
International Journal of Gynecological Cancer (IJGC) shared a post on LinkedIn:
“A machine learning model to more accurately predict the risk of CIN2+.”
Title: Multi-center–validated machine learning model for cervical cancer based on human papillomavirus genotyping results
Authors: Ziren Chena, Yihui Zenga, Lingxiao Luoa, Juan Lib, Liangkai Zhengc, Yan Xiea, Jingjing Xiaoa, Lu Zhanga, Qi Zhanga, Yixin Suna, Xiaoyi Suna, Long Suia, Xiang Taod, Qing Cong
Stay updated on all scientific advances in the field of fertility with Fertility News.
-
Aug 23, 2026, 17:19Oluyemisi Famuyiwa: Financing Your Fertility Treatment
-
Aug 23, 2026, 17:11Favour Ayomi: The Questions That Changed Reproductive Science
-
Aug 23, 2026, 16:54Chang-Hoon Cho: A Comprehensive Immune Atlas of the Human Endometrium
-
Aug 23, 2026, 16:42Sharing Shannon’s Story with Preeclampsia This Story Saturday – Preeclampsia Foundation
-
Aug 23, 2026, 16:36Sarah Lewen: The More Capable the Machines Become, the More Human Connection Matters
-
Aug 23, 2026, 16:31Chandana A։ Why Good-Quality Embryos Sometimes Don’t Implant
-
Aug 23, 2026, 16:28Negin Asadi։ How Does the Blastocyst Attach to the Uterus?
-
Aug 23, 2026, 16:22Christopher Robinson։ Ultrasound Images of Scar and Cesarean Scar Defects
-
Aug 23, 2026, 16:17Somya Jha։ ICSI – 1 Sperm, 1 Egg, 1 Tiny Needle