Highly Sensitive Detection and Molecular Subtyping of Breast Cancer Cells Using Machine Learning-assisted SERS Technology

Highly Sensitive Detection and Molecular Subtyping of Breast Cancer Cells Using Machine Learning-assisted SERS Technology

Breast cancer has always been a research hotspot in the medical field due to its highest incidence and mortality rates among women worldwide. However, the significant molecular heterogeneity of breast cancer presents major challenges for its diagnosis and treatment. Surface-enhanced Raman spectrosco...

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Bibliographic Details
Main Authors: Xinyu Miao, Lei Xu, Li Sun, Yujiao Xie, Jiahao Zhang, Xiawei Xu, Yue Hu, Zhouxu Zhang, Aochi Liu, Zhiwei Hou, Aiguo Wu, Jie Lin
Format: Article
Language:English
Published: Tsinghua University Press 2025-03-01
Series:Nano Biomedicine and Engineering
Subjects:
surface-enhanced raman spectroscopy (sers)
human epidermal growth factor receptor 2 (her-2)
breast cancer
machine learning
gold nanoparticles (au nps)
bioprobes
Online Access:https://www.sciopen.com/article/10.26599/NBE.2025.9290113
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https://www.sciopen.com/article/10.26599/NBE.2025.9290113

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