Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning Frontiers
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 …
Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients Nature.com
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 …
Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. …
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer | Scientific Reports Nature.com
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer Nature.com
How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?
This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from …
Digital twin technology, originally developed for intricate physical systems, holds great potential in women's healthcare, particularly in the management of pelvic floor disorders. This paper delves into the development of …