Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Liver and pancreatic cancers are difficult to detect early, leading to high mortality rates. Blood‐based diagnostics present a viable alternative for earlier detection, potentially improving survival rates. The comprehensive serum glycopeptide spectra analysis (CSGSA) method combines enriched glycop...

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Autors principals:	Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-12-01
Col·lecció:	Molecular Oncology
Matèries:	blood‐based diagnostics glycopeptides liver cancer machine learning pancreatic cancer tumor markers
Accés en línia:	https://doi.org/10.1002/1878-0261.70084
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