SERS,,

Hui Chen1, Luyao Wang1,2, Dandan Fan1

  • 1Key Laboratory of Optical Technology and Instrument for Medicine, Ministry of Education, University of Shanghai for Science and Technology, Shanghai, 200093, China. chenhui@usst.edu.cn.

The Analyst
|August 27, 2025
PubMed
概括

本研究使用表面增强的拉曼散射 (SERS) 和深度学习来分析外体生物标志物以改善肺癌检测. 可解释的人工智能模型通过分析表面和内部外体信号实现了98.95%的准确性.