Comprehensive Serum Glycopeptide Spectra Analysis Combined with Machine Learning for Early Detection of Lung Cancer: A Case–Control Study
This method represents a significant advancement in cancer diagnostics, combining multiple biomarkers with cutting-edge machine learning to improve the early detection of lung cancer.
Authors
- Kazuhiro Tanabe (ORCID: https://orcid.org/0000-0003-2671-1217)
- Tetsuya Kusumoto (ORCID: https://orcid.org/0000-0001-6868-6123)
- Koji Yamazaki (ORCID: https://orcid.org/0000-0003-2025-6268)
- Shigeto Kawauchi
- Masaki Okamoto (ORCID: https://orcid.org/0000-0002-9298-3504)
- Mikio Mikami (ORCID: https://orcid.org/0000-0002-7496-3518)
- Chihiro Hayashi (ORCID: https://orcid.org/0009-0002-1548-2383)
Institutions
- National Kyushu Medical Center (JP)
- Chigasaki Rehabilitation College (JP)
- Shonan University of Medical Sciences (JP)
Publication Details
- Journal
- Cancers
- Published
- 2025-04-27
- DOI
- https://doi.org/10.3390/cancers17091474
- Citations
- 4
- Primary Topic
- Glycosylation and Glycoproteins Research
- Type
- article
- Field-Weighted Citation Impact
- 3.22