AI-enabled ‘endo-histo-omics’: breaking down intestinal barriers in IBD

Marietta Iacucci; Yasuharu Maeda; Giovanni Santacroce; Subrata Ghosh

doi:10.1038/s41575-025-01051-1

AI-enabled ‘endo-histo-omics’: breaking down intestinal barriers in IBD

Marietta Iacucci
, Yasuharu Maeda
, Giovanni Santacroce
, Subrata Ghosh

University College Cork

Research output: Contribution to journal › Comment/Debate

Abstract

The AI-driven ‘endo-histo-omics’ approach integrates clinical, endoscopic, histological and molecular data to improve management of inflammatory bowel disease. This strategy enables precise patient stratification and outcome prediction, paving the way for advanced intestinal barrier assessment and restoration, thereby driving progress in personalized care.

Original language	English
Article number	1470
Pages (from-to)	362-363
Number of pages	2
Journal	Nature Reviews Gastroenterology and Hepatology
Volume	22
Issue number	6
DOIs	https://doi.org/10.1038/s41575-025-01051-1
Publication status	Published - Jun 2025

Access to Document

10.1038/s41575-025-01051-1

Cite this

@article{6e52d01ea16b49a08ee6f49a086e9e6a,

title = "AI-enabled {\textquoteleft}endo-histo-omics{\textquoteright}: breaking down intestinal barriers in IBD",

abstract = "The AI-driven {\textquoteleft}endo-histo-omics{\textquoteright} approach integrates clinical, endoscopic, histological and molecular data to improve management of inflammatory bowel disease. This strategy enables precise patient stratification and outcome prediction, paving the way for advanced intestinal barrier assessment and restoration, thereby driving progress in personalized care.",

author = "Marietta Iacucci and Yasuharu Maeda and Giovanni Santacroce and Subrata Ghosh",

note = "Publisher Copyright: {\textcopyright} Springer Nature Limited 2025.",

year = "2025",

month = jun,

doi = "10.1038/s41575-025-01051-1",

language = "English",

volume = "22",

pages = "362--363",

journal = "Nature Reviews Gastroenterology and Hepatology",

issn = "1759-5045",

publisher = "Nature Research",

number = "6",

}

TY - JOUR

T1 - AI-enabled ‘endo-histo-omics’

T2 - breaking down intestinal barriers in IBD

AU - Iacucci, Marietta

AU - Maeda, Yasuharu

AU - Santacroce, Giovanni

AU - Ghosh, Subrata

N1 - Publisher Copyright: © Springer Nature Limited 2025.

PY - 2025/6

Y1 - 2025/6

N2 - The AI-driven ‘endo-histo-omics’ approach integrates clinical, endoscopic, histological and molecular data to improve management of inflammatory bowel disease. This strategy enables precise patient stratification and outcome prediction, paving the way for advanced intestinal barrier assessment and restoration, thereby driving progress in personalized care.

AB - The AI-driven ‘endo-histo-omics’ approach integrates clinical, endoscopic, histological and molecular data to improve management of inflammatory bowel disease. This strategy enables precise patient stratification and outcome prediction, paving the way for advanced intestinal barrier assessment and restoration, thereby driving progress in personalized care.

UR - https://www.scopus.com/pages/publications/86000317065

U2 - 10.1038/s41575-025-01051-1

DO - 10.1038/s41575-025-01051-1

M3 - Comment/Debate

C2 - 40033062

AN - SCOPUS:86000317065

SN - 1759-5045

VL - 22

SP - 362

EP - 363

JO - Nature Reviews Gastroenterology and Hepatology

JF - Nature Reviews Gastroenterology and Hepatology

IS - 6

M1 - 1470

ER -

AI-enabled ‘endo-histo-omics’: breaking down intestinal barriers in IBD

Abstract

Access to Document

Other files and links

Fingerprint

Cite this