AIMC Topic: Endometriosis

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Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

Scientific reports
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied to the relationship between diseases. The study aim was to identify diseases associated with endomet...

Vitamin D deficiency and high serum IL-6 concentration as risk factors for tubal factor infertility in Chinese women.

Nutrition (Burbank, Los Angeles County, Calif.)
OBJECTIVES: The aim of this study was to investigate the relationship between 25-hydroxyvitamin-D [25(OH)D] and female infertility and to further explore the role of inflammatory cytokines.

Effect of imatinib on growth of experimental endometriosis in rats.

European journal of obstetrics, gynecology, and reproductive biology
OBJECTIVE: Currently, medical and surgical treatment options for endometriosis are limited due to suboptimal efficacy, and also safety and tolerance issues. Long-term use of gonadotrophin-releasing hormone analogs, androgenes, and the danazol, which ...

Robot-assisted surgery for the radical treatment of deep infiltrating endometriosis with colorectal involvement: short- and mid-term surgical and functional outcomes.

International journal of colorectal disease
PURPOSE: Sexual and urinary dysfunctions are complications in radical treatment of deep infiltrating endometriosis (DIE) with colorectal involvement. The aim of this article is to report the preliminary results of our single-institution experience wi...

Surgical Excision of Advanced Endometriosis: Perioperative Outcomes and Impacting Factors.

Journal of minimally invasive gynecology
OBJECTIVE: To determine perioperative outcomes and factors impacting operating time, length of hospital stay, and complications of patients undergoing surgery for stage 3 or 4 endometriosis.

Integrated bioinformatics analysis and machine learning identifies FZD4, SRPX2, and COL8A1 as angiogenesis hub genes in endometriosis.

Medicine
This study aims to identify angiogenesis-associated genes (AAGs) in endometriosis (EM) by integrating bioinformatics analysis with machine learning, and to investigate their underlying mechanisms. Differentially expressed genes (DEGs) were screened f...

Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model.

Journal of minimally invasive gynecology
OBJECTIVE: To evaluate the predictive value of clinical features in the diagnosis of endometriosis by utilizing machine learning algorithms (MLAs), aiming to develop an accurate, explainable prediction model.

Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Medicine
Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early diagnosis and personalized treatment. Th...

Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.

Human reproduction (Oxford, England)
STUDY QUESTION: How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?