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Commentary Open Access

Translating microbiome research into personalized schizophrenia care by implementing multi-omics and artificial intelligence

  • 1Medical student, St. George's University/Northumbria University, UK
  • 2Associate Adjunct Professor at the University of Alberta's John Dossetor Health Ethics Centre, Canada
  • 3ssistant Adjunct Professor in the Department of Neuroscience at the University of Lethbridge, Canada
+ Affiliations - Affiliations

Corresponding Author

Avleen Kaur Bhullar, ginasidhu1980@gmail.com

Received Date: August 01, 2026

Accepted Date: August 26, 2026

Abstract

Schizophrenia is widely recognized as a multifactorial disorder involving interactions among the central nervous system, immune system, metabolism, and gut microbiome. Mardon et al. highlighted the potential importance of the gut-brain axis in schizophrenia. Building on this perspective, this commentary examines the next phase of schizophrenia research: translating biological discoveries into clinically meaningful applications. The discussion focuses on the potential role of integrated biological biomarkers, multi-omics, and artificial intelligence (AI) in precision psychiatry, while also examining the barriers that currently limit clinical implementation. By combining biological data with computational analysis, translational research may ultimately support more individualized approaches to the diagnosis and management of schizophrenia.

Keywords

Schizophrenia, Gut-brain axis, Precision medicine, Artificial intelligence, Biomarkers, Microbiome, Metabolomics

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