Early cancer detection by SERS spectroscopy and machine learning

A new approach for early detection of multiple cancers is presented by integrating SERS spectroscopy of serum molecular fingerprints and machine learning.

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Bibliographic Details
Published inLight, science & applications Vol. 12; no. 1; pp. 234 - 3
Main Authors Shi, Lingyan, Li, Yajuan, Li, Zhi
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 15.09.2023
Springer Nature B.V
Nature Publishing Group
Subjects
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639/624
639/624/1107
Accuracy
Biomarkers
Biopsy
Blood tests
Classification
Esophagus
Health care
Histopathology
Lasers
Learning algorithms
Liver cancer
Lung cancer
Machine learning
Mammography
Medical diagnosis
Medical screening
Microwaves
Nanowires
News & Views
news-and-views
Optical and Electronic Materials
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
RF and Optical Engineering
Spectroscopy
Spectrum analysis
Support vector machines
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More Information
Summary:A new approach for early detection of multiple cancers is presented by integrating SERS spectroscopy of serum molecular fingerprints and machine learning.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:2047-7538
2095-5545
2047-7538
DOI:10.1038/s41377-023-01271-7