SERS Mapping Combined with Explainable Deep Learning for Exosome Analysis to Enhance Lung cancer detection

Hui Chen; Luyao Wang; Dandan Fan; Pei Ma; Xuedian Zhang; Kailin Lin

doi:10.1039/d5an00685f

January 1, 2025The Analyst

SERS Mapping Combined with Explainable Deep Learning for Exosome Analysis to Enhance Lung cancer detection

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Key Points

Enhanced lung cancer detection improves by integrating SERS mapping with deep learning algorithms.
Analysis reveals that exosomes serve as vital biomarkers for early diagnosis and prognosis of lung cancer.
Exploratory framework combines surface-enhanced Raman scattering for effective analysis of exosomal biomarkers.
This approach may bolster early detection strategies for lung cancer, with potential clinical implications.

Implication

SERS mapping combined with explainable deep learning improves biomarker analysis for lung cancer, suggesting enhanced diagnostics.

Abstract

Exosomes are critical biomarkers for early cancer diagnosis and prognosis due to their rich biological information.Nevertheless, analyzing exosomal biomarkers comprehensively remains challenging. Surface-enhanced Raman scattering (SERS) has been employed to...

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Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68c1c9d254b1d3bfb60f2bba https://doi.org/10.1039/d5an00685f

View Full Paper

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SERS Mapping Combined with Explainable Deep Learning for Exosome Analysis to Enhance Lung cancer detection

Key Points

Implication

Abstract

Discussion

Cite This Study

SERS Mapping Combined with Explainable Deep Learning for Exosome Analysis to Enhance Lung cancer detection

Key Points

Implication

Abstract

Discussion

Cite This Study

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