Integrating traditional omics and machine learning approaches to identify microbial biomarkers and therapeutic targets in pediatric inflammatory bowel disease
Integrating conventional omics with AI-driven analytics boosts reproducibility and clinical relevance of microbial biomarker discovery, opening new possibilities for targeted therapies and precision medicine in pediatric IBD.
Authors
- Shuge Wang (ORCID: https://orcid.org/0000-0002-3319-9998)
- Lanlan Li (ORCID: https://orcid.org/0000-0003-2724-5393)
- Tao Huang (ORCID: https://orcid.org/0000-0001-7961-7772)
- Xiyin Deng
Institutions
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-04-14
- DOI
- https://doi.org/10.3389/fphar.2025.1545392
- Citations
- 3
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Hubei Provincial Department of Education