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Association of composite dietary antioxidant index and endometriosis risk in reproductive-age women: a cross-sectional study using big data-machine learning approach.

Endometriosis (EM) is a chronic gynecological disorder characterized by the growth of endometrial-like tissue outside the uterus, leading to pain and infertility. Recent studies suggest that antioxidants may play a …

Published: March 27, 2025, midnight
Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysis.

Endometriosis and Recurrent Implantation Failure (RIF) are both pivotal clinical issues within the realm of reproductive medicine, sharing significant overlap in their pathophysiological mechanisms. However, research exploring the commonalities between …

Published: March 17, 2025, midnight
Identification and analysis of oxidative stress-related genes in endometriosis.

Early diagnosis and treatment of endometriosis (EM) remain challenging because of the lack of knowledge about EM development. While oxidative stress (OS) has been associated with EM, the link is …

Published: March 7, 2025, midnight
Shared diagnostic biomarkers and underlying mechanisms between endometriosis and recurrent implantation failure.

Endometriosis (EMs) is a common condition that causes dysmenorrhea, chronic pelvic pain, and infertility, affecting millions of women worldwide. Despite the use of assisted reproductive technology, EMs patients often experience …

Published: Feb. 19, 2025, midnight
Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.

Intelligent systems for self-management can help patients and improve quality of life. However, designing AI-based systems is challenging because designers need to account not only for user needs, but also …

Published: Feb. 17, 2025, midnight
Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.

Endometriosis (EMs) is a chronic inflammatory disease characterized by the presence of endometrial tissue in the non-uterine cavity, resulting in dysmenorrhea, pelvic pain, and infertility. Epidemiologic data have suggested the …

Published: Feb. 3, 2025, midnight
Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging in gynecology, efforts to synthesize the available evidence have been inadequate. The aim of this systematic review was to …

Published: Jan. 31, 2025, midnight
Identification of hub biomarkers and immune cell infiltrations participating in the pathogenesis of endometriosis.

Endometriosis (EM) is a chronic disease that can cause pain and infertility in patients. As is well known, immune cell infiltrations (ICIs) play important roles in the pathogenesis of EM. …

Published: Jan. 22, 2025, midnight
Leveraging artificial intelligence for advancements in reproductive health.

We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductive health. As technology continues to evolve, AI …

Published: Jan. 7, 2025, midnight
Immunomodulatory insights of monoterpene glycosides in endometriosis: immune infiltration and target pathways analysis.

Endometriosis is a complex gynecological condition characterized by abnormal immune responses. This study aims to explore the immunomodulatory effects of monoterpene glycosides from Paeonia lactiflora on endometriosis. Using the ssGSEA …

Published: Jan. 3, 2025, midnight
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