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.

Detalles Bibliográficos
Autores principales: Shi, Lingyan, Li, Yajuan, Li, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
News & Views
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504315/
https://www.ncbi.nlm.nih.gov/pubmed/37714845
http://dx.doi.org/10.1038/s41377-023-01271-7
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author Shi, Lingyan
Li, Yajuan
Li, Zhi
author_facet Shi, Lingyan
Li, Yajuan
Li, Zhi
author_sort Shi, Lingyan
collection PubMed
description 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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spelling pubmed-105043152023-09-17 Early cancer detection by SERS spectroscopy and machine learning Shi, Lingyan Li, Yajuan Li, Zhi Light Sci Appl News & Views A new approach for early detection of multiple cancers is presented by integrating SERS spectroscopy of serum molecular fingerprints and machine learning. Nature Publishing Group UK 2023-09-15 /pmc/articles/PMC10504315/ /pubmed/37714845 http://dx.doi.org/10.1038/s41377-023-01271-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle News & Views
Shi, Lingyan
Li, Yajuan
Li, Zhi
Early cancer detection by SERS spectroscopy and machine learning
title Early cancer detection by SERS spectroscopy and machine learning
title_full Early cancer detection by SERS spectroscopy and machine learning
title_fullStr Early cancer detection by SERS spectroscopy and machine learning
title_full_unstemmed Early cancer detection by SERS spectroscopy and machine learning
title_short Early cancer detection by SERS spectroscopy and machine learning
title_sort early cancer detection by sers spectroscopy and machine learning
topic News & Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504315/
https://www.ncbi.nlm.nih.gov/pubmed/37714845
http://dx.doi.org/10.1038/s41377-023-01271-7
work_keys_str_mv AT shilingyan earlycancerdetectionbysersspectroscopyandmachinelearning
AT liyajuan earlycancerdetectionbysersspectroscopyandmachinelearning
AT lizhi earlycancerdetectionbysersspectroscopyandmachinelearning

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