Derivation and validation of lifestyle-based and microbiota-based models for colorectal adenoma risk evaluation and self-prediction
Integrated mathematical modelling incorporating lifestyle parameters and gut microbial signatures provides an effective non-invasive strategy for CRA risk stratification, while the accompanying machine learning-assisted prediction application enables cost-effective, population-level screening implementation to optimise CRC prevention protocols.
Authors
- Jing‐Yuan Fang (ORCID: https://orcid.org/0000-0003-2282-0248)
- Jiawen Deng (ORCID: https://orcid.org/0000-0002-8274-6468)
- Chunqi Zhu
- Yuan Xie (ORCID: https://orcid.org/0000-0001-9844-2314)
- Zhu-Hui Liu
- Yilu Zhou (ORCID: https://orcid.org/0000-0002-3785-227X)
- Xinyue Ma (ORCID: https://orcid.org/0009-0009-7398-2942)
- Cheng‐Bei Zhou
Institutions
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
Publication Details
- Journal
- BMJ Open Gastroenterology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1136/bmjgast-2024-001597
- Citations
- 2
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Shanghai Municipal Education Commission
- Shanghai Hospital Development Center