Early cancer detection by SERS spectroscopy and machine learning

Lingyan Shi; Yajuan Li; Zhi Li

doi:10.1038/s41377-023-01271-7

Early cancer detection by SERS spectroscopy and machine learning

Light Sci Appl. 2023 Sep 15;12(1):234. doi: 10.1038/s41377-023-01271-7.

Authors

Lingyan Shi¹, Yajuan Li², Zhi Li²

Affiliations

¹ Shu Chien-Gene Lay Department of Bioengineering, UC San Diego, La Jolla, CA, 92093, USA. l2shi@ucsd.edu.
² Shu Chien-Gene Lay Department of Bioengineering, UC San Diego, La Jolla, CA, 92093, USA.

Abstract

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

Abstract

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