Molecular breast cancer subtype identification using photoacoustic spectral analysis and machine learning at the biomacromolecular level

Breast cancer threatens the health of women worldwide, and its molecular subtypes largely determine the therapy and prognosis of patients. However, an uncomplicated and accurate method to identify subtypes is currently lacking. This study utilized photoacoustic spectral analysis (PASA) based on the...

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Bibliographic Details
Main Authors: Jiayan Li, Yingna Chen, Wanli Ye, Mengjiao Zhang, Jingtao Zhu, Wenxiang Zhi, Qian Cheng
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Photoacoustics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213597923000368