Robust Diagnosis of Breast Cancer Based on Silver Nanoparticles by Surface-Enhanced Raman Spectroscopy and Machine Learning-Reference-Cited by-同舟云学术

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Robust Diagnosis of Breast Cancer Based on Silver Nanoparticles by Surface-Enhanced Raman Spectroscopy and Machine Learning

Published:2024-05-31 Issue:11 Volume:7 Page:13672-13680
ISSN:2574-0970
Container-title:ACS Applied Nano Materials
language:en
Short-container-title:ACS Appl. Nano Mater.

Author:

Wang Meihuan¹,Zhang Kaining¹,Yue Lifan²,Liu Xiao¹,Lai Yongchao³^ORCID,Zhang Huawei¹

Affiliation:

1. Department of Ultrasound, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan 250021, Shandong, China

2. Faculty of Life Sciences, University of Bristol, Bristol BS8 1TH, United Kingdom

3. School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsanm.4c02191

Reference52 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Challenges and achievements of liquid biopsy technologies employed in early breast cancer

3. Theranostic Approach in Breast Cancer

4. Estimating the benefits of therapy for early-stage breast cancer: the St. Gallen International Consensus Guidelines for the primary therapy of early breast cancer 2019

5. BI-RADS ® fifth edition: A summary of changes

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