Agentic AI for Spatial Omics

Immunology and Cell Biology 2026 Open access

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Authors: Gianna Pavilion, Cathrine Mbigidde, Rafael Tubelleza, Priya Ramarao-Milne, Arutha Kulasinghe
DOI: 10.1111/imcb.70146
Cited by: 1
References: 12

Abstract

This highlight summarises recent advances in agentic artificial intelligence (AI) systems for spatial omics analysis. These systems are compared along two central tensions: autonomy versus accountability, and adaptability versus reproducibility. We argue that progress will depend not on maximising automation, but on defining where autonomy is appropriate.

Fields of Study & Subjects

Data Management and Algorithms Graph Theory and Algorithms Mobile Crowdsensing and Crowdsourcing

Publication details

Journal / source
Immunology and Cell Biology
Publisher
Wiley
Volume
104
Issue
8
Pages
736–739
Publication date
5 July 2026
Language
EN