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Machine learning-assisted design of a novel crocin-loaded poloxamer 407/hyaluronic acid in situ forming hydrogel for endometriosis treatment: in vitro characterization and in vivo efficacy evaluation.

Our study focused on fabricating and characterizing a crocin in situ forming hydrogel for endometriosis treatment. An artificial neural network (ANN)-based machine learning (ML) approach was employed to determine the …

Published: Sept. 28, 2026, midnight
Use of artificial neural network optimization for MHD and non-Newtonian peritoneal Jeffery nanofluid dynamics on female reproductive health.

The dynamics of peritoneal fluid has vital applications in various physiological functions, particularly in female reproductive physiology, which modulates the transport of gametes within the fallopian tubes. This research aims …

Published: May 12, 2026, midnight
Exploration of driver biomarkers and immune microenvironment in patients with endometriosis: Evidence from RNA-seq and machine learning.

Endometriosis (EM) is a condition that impacts roughly 10% of women within the reproductive age demographic on a global scale. Due to the limitations of conventional diagnostic techniques for endometriosis, …

Published: March 9, 2026, midnight
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