A heterogeneous graph neural network for candidate gene prediction in endometriosis.
Precision medicine applications depend on elucidating the underlying molecular mechanisms of disease. However, many disorders, such as endometriosis, remain poorly characterised genetically due to data scarcity, positive-unlabelled (PU) imbalance, and …
Biomaterials for endometriosis treatment: Design, advances, and prospects.
Endometriosis is a chronic gynecological disease characterized by the presence of ectopic endometrium. Achieving effective therapeutic outcomes for endometriosis has always been a significant clinical hurdle because of the high …
Physical Activity, Metabolic Dysfunction, and the Kynurenine Pathway in Endometriosis and Polycystic Ovary Syndrome: A Literature Review.
Endometriosis and PCOS are both leading causes of female infertility, each affecting approximately 10% of reproductive-aged women worldwide. Both conditions markedly impair quality of life by affecting physical health, emotional …