Machine-Learning-Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles.

Song J, Ramakrishnan N, Kim S, Lee H, Kwon Y, Kim J

Open source

DOI
10.1002/advs.77452
Published
2026 Aug 29
Container
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1002/advs.77452,
  title = {Machine-Learning-Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles.},
  author = {Song J and Ramakrishnan N and Kim S and Lee H and Kwon Y and Kim J},
  year = {2026},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  doi = {10.1002/advs.77452},
  url = {https://doi.org/10.1002/advs.77452}
}

RIS

TY  - JOUR
TI  - Machine-Learning-Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles.
AU  - Song J
AU  - Ramakrishnan N
AU  - Kim S
AU  - Lee H
AU  - Kwon Y
AU  - Kim J
PY  - 2026
JO  - Advanced science (Weinheim, Baden-Wurttemberg, Germany)
DO  - 10.1002/advs.77452
UR  - https://doi.org/10.1002/advs.77452
ER  - 

APA

J, S., N, R., S, K., H, L., Y, K., & J, K. (2026). Machine-Learning-Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). https://doi.org/10.1002/advs.77452

Source records