Latest Articles

Publication Date
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 …

Published: Aug. 26, 2026, midnight
Phenotypic Analysis of Human and Murine Endometrial Organoids using a Machine Learning Approach.

Endometrial organoids are a powerful, 3D in vitro system for studying reproductive function and disease since they are more physiologically representative than 2D cell models. However, optimal methods for the …

Published: Aug. 19, 2026, midnight
Bridging the Diagnostic Gap: Reviewing Current Endometriosis Screening Tools and Models.

Background: Endometriosis affects 10% of reproductive-aged women globally and is one of the major causes of infertility. It is a debilitating, chronic condition with an average diagnostic delay of up …

Published: Aug. 11, 2026, midnight
Exploring predictors of analgesic response in adult women regularly using NSAIDs: insights from a machine learning approach.

Non-steroidal anti-inflammatory drugs (NSAIDs) are considered a first-line treatment for dysmenorrhea (menstrual pain). However, as much as 20% of women fail to achieve sufficient pain relief from NSAIDs, although factors …

Published: July 29, 2026, midnight
[Endometriosis pain research in Germany : ENDO-PAIN and StEPP-UPP-two new research consortia on endometriosis pain].

Endometriosis is one of the most common causes of chronic pelvic or lower-abdominal pain, yet mechanisms, predictors, and patient-centered treatment pathways remain insufficiently defined. This article summarizes the situation in …

Published: July 20, 2026, midnight
A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion …

Published: July 11, 2026, midnight
Uterine microbiome signatures associated with endometriosis.

Endometriosis is a chronic inflammatory disorder affecting ~ 10% of reproductive-age women, often causing pelvic pain and infertility. Despite its prevalence, diagnosis remains delayed due to non-specific symptoms and lack …

Published: June 16, 2026, midnight
Emerging Pathways to Non-Invasive Diagnosis in Endometriosis: Integrating Machine Learning, Deep Learning and Multi-Omics Biomarkers.

Endometriosis is a chronic, debilitating condition affecting approximately 10-15% of reproductive-aged women and it is often associated with significant diagnostic delays due to its heterogeneity and unreliable non-invasive tests. Artificial …

Published: June 12, 2026, midnight
Deciphering immune-inflammatory dysregulation in the endometriotic microenvironment: insights from single-cell omics and artificial intelligence.

Endometriosis is a prevalent chronic inflammatory gynecological disorder affecting approximately 10% of reproductive-age women worldwide, characterized by endometrial-like tissue outside the uterine cavity. Ectopic lesion growth tracks closely with immune-inflammatory …

Published: June 11, 2026, midnight
Interpretable machine learning for endometriosis classification: a rule-based approach.

Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pelvic pain, infertility, and other major health complications. Though some studies have …

Published: June 10, 2026, midnight
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