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Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”
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作者 Shilian Dong Dong He +13 位作者 Qian Zhang Chaoning Huang Zhiheng Hu Chenyang Zhang Lei Nie Kun Wang Wei Luo Jing Yu Bin Tian Wei Wu Xu Chen Fubing Wang Jing Hu Xiangheng Xiao 《Light(Science & Applications)》 2025年第2期566-578,共13页
Dear Editor,In the accompanying Comment,Bratchenko et al.raised two concerns about the spectral data analysis pipeline employed for the Surface-enhanced Raman scattering and Artificial Intelligence for Cancer Screenin... Dear Editor,In the accompanying Comment,Bratchenko et al.raised two concerns about the spectral data analysis pipeline employed for the Surface-enhanced Raman scattering and Artificial Intelligence for Cancer Screening(SERS-AICS)technique in our original paper:(1)inappropriate accuracy presentation and(2)the use of a single data split for model evaluation.As a promising technique for molecular fingerprinting,SERS-basedearlycancerdetection approaches using biofluids and liquid biopsy are typically evaluated base stricty on theiracuray and elaility. 展开更多
关键词 liquid biopsy machine learning cancer detection SPECTROSCOPY spectral data analysis pipeline model evaluationas serum biomolecular fingerprinting
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