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 …
Bridging the gap: meta-epidemiological analysis on the clinical translation of stem cell-based therapies in women's reproductive diseases.
What is the current landscape of randomized controlled trials (RCTs) evaluating stem cell-based therapies for women's reproductive diseases, and how effectively has preclinical research informed their clinical translation?
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 …