Article

A ML-framework for the discovery of next-generation IBD targets using a harmonized single-cell atlas of patient tissue

2026-02-09

Abstract excerpt

Target discovery for IBD has traditionally relied on genetic associations, which lack the cellular resolution needed to identify novel, actionable, cell type-specific disease pathways. Here, we describe an integrated analytical and experimental framework that leverages harmonized single-cell data to systematically discover novel therapeutic strategies for IBD. We used AMICA DB TM , Immunai’s harmonized database o...

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Literature Corpus work: c0c5835d-65cd-500c-b91c-9c7fa030ed23
DOI: 10.64898/2026.02.06.699999

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