Identifying inflammatory bowel disease subtypes: a comprehensive exploration of transcriptomic data and machine learning-based approaches

We report three transcriptomic subtypes in UC and CD, each with distinct molecular signatures and clinical relevance. These findings support a stratified approach to IBD diagnosis and therapy, enabling more personalised disease management strategies.

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Publication Details

Journal
Therapeutic Advances in Gastroenterology
Published
2025-08-01
DOI
https://doi.org/10.1177/17562848251362391
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
2.81
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article

Identifying inflammatory bowel disease subtypes: a comprehensive exploration of transcriptomic data and machine learning-based approaches

Animesh Acharjee, Neetu Saini
3 citations
Therapeutic Advances in Gastroenterology
Cancer-related molecular mechanisms research
2.81
article

Identifying inflammatory bowel disease subtypes: a comprehensive exploration of transcriptomic data and machine learning-based approaches

Animesh Acharjee, Neetu Saini
article en
3 citations

Abstract

We report three transcriptomic subtypes in UC and CD, each with distinct molecular signatures and clinical relevance. These findings support a stratified approach to IBD diagnosis and therapy, enabling more personalised disease management strategies.

Therapeutic Advances in GastroenterologyVol. 18
University Hospitals Birmingham NHS Foundation Trust (GB), Cancer Research UK Clinical Trials Unit (GB), University of Birmingham (GB)
Good health and well-being
Openalex Percentile: Top 9%
Cancer-related molecular mechanisms research
2.81
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