Back to search

Article

Machine learning to phenotype pain and predict response to pain interventions among young adults with irritable bowel syndrome

2025-10-08

Abstract excerpt

<h4>Introduction</h4> Irritable bowel syndrome (IBS) is a prevalent disorder whose most debilitating symptom is pain. The complex, multifactorial nature of IBS pain leads to highly variable and often inadequate responses to self-management, underscoring the urgent need for personalized prediction models. <h4>Methods</h4> This ancillary analysis of a randomized controlled trial ( NCT03332537 ) utilized data from...

Topics

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

Identifiers and source

Literature Corpus work
7982d6d6-07f8-5ec4-9842-5b90463f4780
DOI
10.1101/2025.10.07.25337516
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.
Machine learning to phenotype pain and predict response to pain interventions among young adults with irritable bowel syndromeDOI 10.1101/2025.10.07.25337516
Select a neighboring publication to make it the new centre.