Multi-cancer early detection based on serum surface-enhanced Raman spectroscopy with deep learning: a large-scale case–control study
Our study has offered a highly effective serum SERS-based approach for multi-cancer early detection, which might shed new light on cancer screening in clinical practice.
Authors
- Yuxiang Lin (ORCID: https://orcid.org/0000-0001-8854-2995)
- Xiuqing Yan
- Kaiming Peng
- Qiyi Zhang (ORCID: https://orcid.org/0000-0002-0689-9489)
- Chuan Wang (ORCID: https://orcid.org/0000-0001-6823-1030)
- Shangyuan Feng
- Liyong Zhang
- Jun Huang (ORCID: https://orcid.org/0000-0002-3005-4822)
- Hanxi Chen (ORCID: https://orcid.org/0009-0006-9460-4332)
- Fangmeng Fu (ORCID: https://orcid.org/0000-0002-7664-8933)
- Shuhang Liu
- Xueliang Lin
- Uzma Hasan (ORCID: https://orcid.org/0009-0001-3733-5969)
- Xiaojie Wang
- Mahabub Sarwara
Institutions
- Fujian Normal University (CN)
- Fujian Medical University (CN)
- Quanzhou Normal University (CN)
- Fujian Provincial Cancer Hospital (CN)
- Union Hospital (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1186/s12916-025-03887-5
- Citations
- 24
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 39.22
Funders
- National Natural Science Foundation of China