Back to search

Article

A Metabolic-Inflammatory Phenotype of Pelvic Floor Dysfunction: A Machine Learning-Based Discovery in a Nationally Representative U.S. Cohort

2025-11-03

Abstract excerpt

<h4>Background</h4> Pelvic floor dysfunction (PFD) is a highly prevalent and heterogeneous condition among women. The traditional view of PFD as a single clinical entity limits the understanding of its complex pathophysiology and hinders the development of personalized therapies. <h4>Objective</h4> We aimed to deconstruct the heterogeneity of PFD by using unsupervised machine learning to identify distinct clinic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
79f7064a-f012-5d10-8a76-a9607ec2e80b
DOI
10.1101/2025.10.29.25339110
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Metabolic-Inflammatory Phenotype of Pelvic Floor Dysfunction: A Machine Learning-Based Discovery in a Nationally Representative U.S. CohortDOI 10.1101/2025.10.29.25339110
Select a neighboring publication to make it the new centre.