ArticleBiomedical optics express2025
MXene-based SERS spectroscopic analysis of exosomes for lung cancer differential diagnosis with deep learning.
Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Research progress of surface-enhanced Raman scattering technology in tumor liquid biopsy.Frontiers in molecular biosciences · 2026Review
- MXene-based electrochemical sensors for cancer biomarker detection: current trends, challenges, and future directions.Mikrochimica acta · 2025Review
- Advances in Technology and Applications of Optical Sensing and Imaging for Biomedicine: introduction to the feature issue.Biomedical optics express · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer with heterogeneity has a high mortality rate due to its late-stage detection and chemotherapy resistance. Liquid biopsy that discriminates tumor-related biomarkers in body fluids has emerged as an attractive technique for early-stage and accurate diagnosis. Exosomes, carrying membrane and cytosolic information from original tumor cells, impart themselves endogeneity and heterogeneity, which offer extensive and unique advantages in the field of liquid biopsy for cancer differential diagnosis. Herein, we demonstrate a Gramian angular summation field and MobileNet V2 (GASF-MobileNet)-assisted surface-enhanced Raman spectroscopy (SERS) technique for analyzing exosomes, aimed at precise diagnosis of lung cancer. Specifically, a composite substrate was synthesized for SERS detection of exosomes based on Ti
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Registered trials
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