Multi-omics-based machine learning model predicts response and guides treatment in Crohn’s disease: a case study in nutritional therapy—response to editorial

Asaf Azulay; Dan Turner

doi:10.1093/ibd/izag087

Multi-omics-based machine learning model predicts response and guides treatment in Crohn’s disease: a case study in nutritional therapy—response to editorial

Asaf Azulay
, Dan Turner^*

^*Corresponding author for this work

Institute for Medical Research Israel-Canada (IMRIC)

Research output: Contribution to journal › Letter › peer-review

2 Scopus citations

Original language	English
Pages (from-to)	1661-1662
Number of pages	2
Journal	Inflammatory Bowel Diseases
Volume	32
Issue number	8
DOIs	https://doi.org/10.1093/ibd/izag087
State	Published - Aug 2026

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Multi-omics-based machine learning model predicts response and guides treatment in Crohn’s disease: a case study in nutritional therapy—response to editorial

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