Artificial intelligence at the gut–oral microbiota frontier: mapping machine learning tools for gastric cancer risk prediction
AI-based microbiome models, including non-invasive diagnostics, show high potential for gastric cancer prediction. Yet, reproducibility, external validation, and reporting transparency remain critical barriers to clinical implementation. Standardized pipelines, multi-omics integration, and prospective validation are needed to transition this field from proof-of-concept to precision oncology.
Authors
- Fatemeh Soltani Tehrani (ORCID: https://orcid.org/0000-0001-5926-309X)
- Mohammad Narimani (ORCID: https://orcid.org/0000-0003-2383-0974)
- Mohamed Abdelbaset
- Mahsa Asadi Anar (ORCID: https://orcid.org/0000-0002-5772-2472)
- P Goudarzi (ORCID: https://orcid.org/0009-0002-0727-0559)
- Pooya Eini (ORCID: https://orcid.org/0000-0002-9457-8588)
- Ф. Абдольванд (ORCID: https://orcid.org/0000-0001-8372-858X)
- Yalda Ghazizadeh (ORCID: https://orcid.org/0000-0001-5419-4152)
- Fatemeh Khosravi (ORCID: https://orcid.org/0000-0001-5075-7755)
- Nazanin Mohammadzadeh (ORCID: https://orcid.org/0009-0007-9300-544X)
- Aida Azhdarimoghaddam (ORCID: https://orcid.org/0009-0004-3921-584X)
- Mohamed Abouzeid (ORCID: https://orcid.org/0009-0003-5853-8305)
- Mohammad Saeed Soleimani Meigoli (ORCID: https://orcid.org/0009-0006-6033-8515)
- Alireza Mohammad Bigloo (ORCID: https://orcid.org/0009-0008-5774-7435)
Institutions
- Iran University of Medical Sciences (IR)
- Mashhad University of Medical Sciences (IR)
- Kerman University of Medical Sciences (IR)
- Zahedan University of Medical Sciences (IR)
- Royal Hospital (OM)
- Whiston Hospital (GB)
- Fasa University of Medical Sciences (IR)
- Shahid Beheshti University of Medical Sciences (IR)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1186/s12938-025-01487-1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00