Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer - Nature.com
Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer Nature.com
Comparative Analysis of Shapley Values Enhances Transcriptomics Insights across Some Common Uterine Pathologies.
Uterine pathologies pose a challenge to women's health on a global scale. Despite extensive research, the causes and origin of some of these common disorders are not well defined yet. …
Proposed classification of adenomyosis in Infertile women to simplify management options undergoing ART.
Adenomyosis associated with subfertility is a situation of a dilemma for the treating clinician as the treatment is highly controversial and there remains an overall lack of consensus regarding the …
Optimizing IVF Success: A Case Study of Melatonin-Assisted Frozen Embryo Transfer for Poor Oocyte Quality and Endometriosis.
The case study investigates the journey of a couple facing infertility. It intensifies the challenges, including poor oocyte quality and endometriosis. In spite of two failed in vitro fertilization cycles, …