Power of Light: Raman Spectroscopy and Machine Learning for the Detection of Lung Cancer-Reference-Cited by-同舟云学术

Power of Light: Raman Spectroscopy and Machine Learning for the Detection of Lung Cancer

Published:2024-03-15 Issue:12 Volume:9 Page:14084-14091
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Hano Harun¹²^ORCID,Lawrie Charles H.³⁴⁵⁶,Suarez Beatriz⁷⁴,Paredes Lario Alfredo⁸,Elejoste Echeverría Ibone⁸,Gómez Mediavilla Jenifer⁸,Crespo Cruz Marina Izaskun⁸,Lopez Eneko¹²,Seifert Andreas¹³^ORCID

Affiliation:

1. CIC nanoGUNE BRTA, 20018 San Sebastián, Spain

2. Department of Physics, University of the Basque Country (UPV/EHU), 20018 San Sebastián, Spain

3. IKERBASQUE─Basque Foundation for Science, 48009 Bilbao, Spain

4. Biogipuzkoa Health Research Institute, 20014 San Sebastián, Spain

5. Sino-Swiss Institute of Advanced Technology (SSIAT), University of Shanghai, 201800 Shanghai, China

6. Radcliffe Department of Medicine, University of Oxford, OX3 9DU Oxford, U.K.

7. Faculty of Nursing and Medicine, University of the Basque Country (UPV/EHU), 20014 San Sebastián, Spain

8. Servicio de Oncología Médica, Hospital Universitario Donostia, 20014 San Sebastián, Spain

Funder

Ministerio de Universidades

European Commission

Ministerio de Ciencia e Innovaci?n

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c09537

Reference29 articles.

1. Subsecond lung cancer detection within a heterogeneous background of normal and benign tissue using single-point Raman spectroscopy

2. Prospects for population screening and diagnosis of lung cancer

3. Machine Learning-Assisted Raman Spectroscopy for pH and Lactate Sensing in Body Fluids

4. Raman spectroscopy as a potential diagnostic tool to analyse biochemical alterations in lung cancer

5. Raman Spectroscopy and Imaging in Bioanalytics

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