Machine learning algorithms enhance the specificity of cancer biomarker detection using SERS-based immunoassays in microfluidic chips-Reference-Cited by-同舟云学术

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Machine learning algorithms enhance the specificity of cancer biomarker detection using SERS-based immunoassays in microfluidic chips

Published:2019 Issue:4 Volume:9 Page:1859-1868
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Banaei Nariman¹²³⁴^ORCID,Moshfegh Javad⁵²³⁴,Mohseni-Kabir Arman⁶²³⁴,Houghton Jean Marie⁷⁸⁹⁴,Sun Yubing¹²³⁴¹⁰^ORCID,Kim Byung¹²³⁴¹¹

Affiliation:

1. Department of Mechanical and Industrial Engineering

2. University of Massachusetts

3. Amherst

4. USA

5. Department of Electrical and Computer Engineering

6. Department of Physics

7. Department of Medicine

8. University of Massachusetts Medical School

9. Worcester

10. Department of Chemical Engineering

11. Institute for Applied Life Sciences

Abstract

Machine learning algorithms enhance the specificity of cancer biomarkers detection using SERS-based immunoassays.

Funder

University of Massachusetts Amherst

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/RA/C8RA08930B

Reference47 articles.

1. Early Detection of Sporadic Pancreatic Cancer

2. Evolutionary dynamics of cancer in response to targeted combination therapy

3. Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers

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