Deep Learning-Powered Nanoplasmonic Biosensing Approach Enables Ultrasensitive Extracellular Vesicles Profiling for Cancer Screening.

Zhu J, Xiao Y, Huang X, Niu Q, Zeng L, Lin S, Jiang M, Huang T, Chen H, Xie Y, Gao Y, Chen W, Yan Y, Shen J, Chen K, Dai Y, Zhang Z, Zeng L, Chen Y, Li B, Zhu J, Li B

Open source

DOI
10.1002/advs.202511337
Published
2026 Jan
Container
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1002/advs.202511337,
  title = {Deep Learning-Powered Nanoplasmonic Biosensing Approach Enables Ultrasensitive Extracellular Vesicles Profiling for Cancer Screening.},
  author = {Zhu J and Xiao Y and Huang X and Niu Q and Zeng L and Lin S and Jiang M and Huang T and Chen H and Xie Y and Gao Y and Chen W and Yan Y and Shen J and Chen K and Dai Y and Zhang Z and Zeng L and Chen Y and Li B and Zhu J and Li B},
  year = {2026},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  doi = {10.1002/advs.202511337},
  url = {https://doi.org/10.1002/advs.202511337}
}

RIS

TY  - JOUR
TI  - Deep Learning-Powered Nanoplasmonic Biosensing Approach Enables Ultrasensitive Extracellular Vesicles Profiling for Cancer Screening.
AU  - Zhu J
AU  - Xiao Y
AU  - Huang X
AU  - Niu Q
AU  - Zeng L
AU  - Lin S
AU  - Jiang M
AU  - Huang T
AU  - Chen H
AU  - Xie Y
AU  - Gao Y
AU  - Chen W
AU  - Yan Y
AU  - Shen J
AU  - Chen K
AU  - Dai Y
AU  - Zhang Z
AU  - Zeng L
AU  - Chen Y
AU  - Li B
AU  - Zhu J
AU  - Li B
PY  - 2026
JO  - Advanced science (Weinheim, Baden-Wurttemberg, Germany)
DO  - 10.1002/advs.202511337
UR  - https://doi.org/10.1002/advs.202511337
ER  - 

APA

J, Z., Y, X., X, H., Q, N., L, Z., S, L., M, J., T, H., H, C., Y, X., Y, G., W, C., Y, Y., J, S., K, C., Y, D., Z, Z., L, Z., Y, C., B, L., J, Z., & B, L. (2026). Deep Learning-Powered Nanoplasmonic Biosensing Approach Enables Ultrasensitive Extracellular Vesicles Profiling for Cancer Screening.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). https://doi.org/10.1002/advs.202511337

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