Causal AI Predicts IVF Success and Reveals Which Changes Actually Help
A causally enhanced machine learning model from China predicts cumulative live birth rates in IVF and identifies modifiable factors and ...
A causally enhanced machine learning model from China predicts cumulative live birth rates in IVF and identifies modifiable factors and ...
A large retrospective study of IVF patients without polycystic ovary syndrome finds that menstrual cycles of 36 days or longer ...
A systematic review of 26 studies finds that although assisted reproductive technology nearly doubles preeclampsia risk, no existing clinical prediction ...
A new meta-analysis of nine randomized controlled trials suggests laser-assisted hatching improves live birth and clinical pregnancy rates and lowers ...
A retrospective cohort study of 268 surgically confirmed pregnancies finds that deep infiltrating endometriosis independently doubles the risk of placenta ...
New research shows that the DNA repair and redox-signaling protein APEX1 protects oocyte quality by sustaining mitophagy and suppressing iron-dependent ...
A new first-person account in the Journal of Cancer Survivorship describes the emotional toll of pregnancy planning and loss after ...
A multicenter study of nearly 15,000 young IVF patients shows that a simple pretreatment nomogram using five routine clinical measures ...
A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and ...
A multicenter Chinese cohort study of 1,042 women with miscarriage history finds that both fasting and postprandial insulin resistance are ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine