Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”  

作　　者：Silian Dong Dong He 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 Xingheng Xiao 

机构地区：[1]School of Physics and Technology,National Demonstration Center for Experimental Physics Education,Wuhan University,Wuhan 430072,China [2]Department of Laboratory Medicine,Zhongnan Hospital of Wuhan University,Wuhan 430071,China [3]school of Computer Science,Wuhan University,Wuhan 430072,China [4]Department of Hepatobiliary Pancreatic Surgery,Hubei Cancer Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430079,China [5]Department of Clinical Laboratory,Tianjin Medical University General Hospital,Tianjin 300052,China [6]Department of Blood Transfusion,Wuhan Hospital of Traditional Chinese and Western Medicine,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430022,China [7]Laboratory of Printable Functional Materials and Printed Electronics,Research Center for Graphic Communication,Printing and Packaging,Wuhan University,Wuhan 430072,China [8]Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics,Department of Laboratory Medicine,Sichuan Academy of Medical Sciences&Sichuan Provincial People's Hospital,University of Electronic Science and Technology,Chengdu 611731,China [9]School of Medicine,University of Electronic Science and Technology of China,Chengdu 611731,China

出　　处：《Light(Science & Applications)》2025年第2期566-578,共13页光(科学与应用)(英文版)

摘　　要：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.

关 键 词：liquid biopsy machine learning cancer detection SPECTROSCOPY spectral data analysis pipeline model evaluationas serum biomolecular fingerprinting 

分 类 号：R730.43[医药卫生—肿瘤]