AIMC Topic: Irritable Bowel Syndrome
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Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data.
PLoS computational biology
May 7, 2025
We use open source human gut microbiome data to learn a microbial "language" model by adapting techniques from Natural Language Processing (NLP). Our microbial "language" model is trained in a self-supervised fashion (i.e., without additional externa...
The reality of modeling irritable bowel syndrome: progress and challenges.
Expert opinion on drug discovery
Mar 31, 2025
INTRODUCTION: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder that is often therapeutically challenging. While research has advanced our understanding of IBS pathophysiology, developing precise models to predict drug response and...
Classification of Irritable Bowel Syndrome Using Brain Functional Connectivity Strength and Machine Learning.
Neurogastroenterology and motility
Jan 3, 2025
BACKGROUND: Irritable Bowel Syndrome (IBS) is a prevalent condition characterized by dysregulated brain-gut interactions. Despite its widespread impact, the brain mechanism of IBS remains incompletely understood, and there is a lack of objective diag...
Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction.
BMC gastroenterology
Aug 15, 2024
PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms like abdominal pain and changes associated with defecation. The condition is classified as a disorder of the gut-brain interaction (DGBI), and patients w...
Altered resting-state functional connectivity and effective connectivity of the habenula in irritable bowel syndrome: A cross-sectional and machine learning study.
Human brain mapping
Jun 3, 2020
Irritable bowel syndrome (IBS) is a disorder involving dysfunctional brain-gut interactions characterized by chronic recurrent abdominal pain, altered bowel habits, and negative emotion. Previous studies have linked the habenula to the pathophysiolog...
A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms.
Bio Systems
Dec 24, 2017
The classification and etiology of functional disorders is controversial. Evidence supports both psychological and biological (disease) models that show, respectively, that functional disorders should be classified as one (bodily distress syndrome) a...
Innovations in the diagnosis, treatment, and management of disorders of gut-brain interaction (DGBI).
Expert review of gastroenterology & hepatology
Jun 1, 2025
INTRODUCTION: Functional dyspepsia (FD) and irritable bowel syndrome (IBS) are the most prevalent disorders of gut-brain interaction (DGBI), frequently overlapping and associated with complex pathophysiological mechanisms. Increasing evidence implica...
Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.
The American journal of gastroenterology
Jan 1, 2021
INTRODUCTION: Chronic constipation is classified into 2 main syndromes, irritable bowel syndrome with constipation (IBS-C) and functional constipation (FC), on the assumption that they differ along multiple clinical characteristics and are plausibly ...
[Constipation predominant irritable bowel syndrome treated with acupuncture for regulating the mind and strengthening the spleen: a randomized controlled trial].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Nov 1, 2015
OBJECTIVE: To observe the clinical efficacy on constipation predominant irritable bowel syndrome (IBS-C) treated with acupuncture for regulating the mind and strengthening the spleen and the impacts on the quality of life in the patients.
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