Early cancer detection by SERS spectroscopy and machine learning

Lingyan Shi; Yajuan Li; Zhi Li

doi:10.1038/s41377-023-01271-7

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Early cancer detection by SERS spectroscopy and machine learning

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- Early cancer detection by SERS spectroscopy and machine learning
- Early cancer detection by SERS spectroscopy and machine learning
- LSA 2023年12卷第10期页码：1998-2000
- Affiliations：
  
  Shu Chien-Gene Lay Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
- Author bio：
  
  Lingyan Shi (l2shi@ucsd.edu)
- Funds：
- DOI：10.1038/s41377-023-01271-7
  中图分类号：
- 纸质出版日期：2023-10-31，
  
  网络出版日期：2023-09-15，
- Accepted：
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Early cancer detection by SERS spectroscopy and machine learning[J]. LSA, 2023,12(10):1998-2000.

Shi, L. Y., Li, Y. J. & Li, Z. Early cancer detection by SERS spectroscopy and machine learning. Light: Science & Applications, 12, 1998-2000 (2023).
Early cancer detection by SERS spectroscopy and machine learning[J]. LSA, 2023,12(10):1998-2000. DOI： 10.1038/s41377-023-01271-7.

Shi, L. Y., Li, Y. J. & Li, Z. Early cancer detection by SERS spectroscopy and machine learning. Light: Science & Applications, 12, 1998-2000 (2023). DOI： 10.1038/s41377-023-01271-7.

摘要

Abstract

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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Keywords

references

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