Machine learning classification and biochemical characteristics in the real-time diagnosis of gastric adenocarcinoma using Raman spectroscopy

Machine learning classification and biochemical characteristics in the real-time diagnosis of gastric adenocarcinoma using Raman spectroscopy

Abstract This study aimed to identify biomolecular differences between benign gastric tissues (gastritis/intestinal metaplasia) and gastric adenocarcinoma and to evaluate the diagnostic power of Raman spectroscopy-based machine learning in gastric adenocarcinoma. Raman spectroscopy-based machine lea...

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Bibliographic Details
Main Authors: Alex Noh, Sabrina Xin Zi Quek, Nuraini Zailani, Juin Shin Wee, Derrick Yong, Byeong Yun Ahn, Khek Yu Ho, Hyunsoo Chung
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Raman spectroscopy
Mass spectrometry imaging
Machine learning
Gastric cancer
Real-time diagnosis
Online Access:https://doi.org/10.1038/s41598-025-86763-9
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https://doi.org/10.1038/s41598-025-86763-9

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