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

Shilian 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; Xiangheng Xiao

doi:10.1038/s41377-024-01664-2

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

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- Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”
- Light: Science & Applications Vol. 14, Issue 2, Pages: 566-578(2025)
- Affiliations：
  
  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
- Author bio：
  
  Fubing Wang (wfb20042002@sina.com)
  Jing Hu (jinghu_somed@uestc.edu.cn)
  Xiangheng Xiao (xxh@whu.edu.cn)
- Funds：
- DOI：10.1038/s41377-024-01664-2
  CLC：
- Received：26 August 2024，
  
  Revised：03 October 2024，
  
  Accepted：2024-10-22，
  
  Published Online：20 January 2025，
  
  Published：28 February 2025
- Accepted：
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Dong, S. L. et al. Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”. Light: Science & Applications, 14, 566-578 (2025).
DOI：

Dong, S. L. et al. Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”. Light: Science & Applications, 14, 566-578 (2025). DOI： 10.1038/s41377-024-01664-2.

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references

Dong, S. L. et al. Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning. eLight 3 , 17 (2023)..

Howes, P. D. et al. Colloidal nanoparticles as advanced biological sensors. Science 346 , 1247390 (2014)..

Guerrini, L. et al. Surface-enhanced Raman scattering (SERS) spectroscopy for sensing and characterization of exosomes in cancer diagnosis. Cancers 13 , 2179 (2021)..

Kondo, J. et al. High‐throughput screening in colorectal cancer tissue‐originated spheroids. Cancer Sci. 110 , 345–355 (2019)..

Abalde-Cela, S. et al. A SERS-based 3D nanobiosensor: towards cell metabolite monitoring. Mater. Adv. 1 , 1613–1621 (2020)..

Ko, J. et al. Integration of a fiber-based cell culture and biosensing system for monitoring of multiple protein markers secreted from stem cells. Biosens. Bioelectron. 193 , 113531 (2021)..

Nam, W. et al. Refractive-index-insensitive nanolaminated SERS substrates for label-free Raman profiling and classification of living cancer cells. Nano Lett. 19 , 7273–7281 (2019)..

Nam, W. et al. Nanolaminate plasmonic substrates for high-throughput living cell SERS measurements and artificial neural network classification of cellular drug responses. ACS Appl. Nano Mater. 5 , 10358–10368 (2 022)..

Zhang, H. et al. Multiplexed nanomaterial-assisted laser desorption/ionization for pan-cancer diagnosis and classification. Nat. Commun. 13 , 617 (2022)..

Huang, L. et al. Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning. Nat. Commun. 14 , 48 (2023)..

Wang, R. et al. Bio-inspired in-sensor compression and computing based on phototransistors. Small 18 , 2201111 (2022)..

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