The Phendo Project: How FemTech Is Advancing Endometriosis Research and Women's Health.
FemTech continues to evolve and advance despite persistent research and funding gaps. In this News and Perspectives article, JMIR Correspondent Jenny Castillo Cato reports on an innovative, cross-disciplinary research project …
Machine learning-integrated molecular subtyping reveals two biologically distinct endometriosis subtypes in the EndometDB database.
Endometriosis affects approximately 10% of reproductive-age women, with a diagnostic delay of 7-10 years. Despite clinical heterogeneity, current rASRM staging poorly predicts treatment outcomes. Molecular subtyping may reveal biologically meaningful …
Endometriosis risk factors and comorbidities by endometriosis lesion macrophenotypes: An analysis from the What is Endometriosis (WisE) study.
While endometriosis is thought to be a heterogeneous disease, the pathophysiologic heterogeneity across the three visualized lesion macrophenotypes (i.e., superficial peritoneal endometriosis(SPE) lesions, endometriomas, and deep lesions) remains unclear.