Machine learning prediction of clinical pregnancy in endometriosis patients following fresh IVF/ICSI-ET.
Fresh embryo transfer reduces waiting time and minimizes embryo cryodamage for endometriosis (EM) patients. The current prediction models for fresh embryo transfer outcomes in EM primarily rely on logistic regression, …
Development and validation of a postpartum cardiovascular disease risk prediction model in women incorporating reproductive and pregnancy-related predictors.
Each year, over 700,000 pregnancies occur in the UK, with up to 10% affected by complications such as hypertensive disorders of pregnancy and gestational diabetes mellitus. Pregnancy-related complications and reproductive …
DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.
Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions, such as endometriosis which has been historically understudied despite …
Revealing the endocrine landscape of INSL3/RXFP2 signaling in hamster.
In mammals, insulin-like peptide 3 (INSL3) and its cognate receptor (RXFP2) are reported to be essential regulators of male reproductive physiology. It is also believed that INSL3/RXFP2 signaling has a …