Machine learning-empowered electrochemical nanobiosensors: towards intelligent diagnostics and data analysis.

Wu Z, Sun Z, Sun K, Liu Q, Yang K, Fang Y, Liang Z, Tsai HS, Cai T, Wang Y, Li X, Lin CT, Fu L

DOI: 10.1039/d6cc03189g
Published: 2026 Sep 1
Container: Chemical communications (Cambridge, England)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d6cc03189g,
  title = {Machine learning-empowered electrochemical nanobiosensors: towards intelligent diagnostics and data analysis.},
  author = {Wu Z and Sun Z and Sun K and Liu Q and Yang K and Fang Y and Liang Z and Tsai HS and Cai T and Wang Y and Li X and Lin CT and Fu L},
  year = {2026},
  journal = {Chemical communications (Cambridge, England)},
  doi = {10.1039/d6cc03189g},
  url = {https://doi.org/10.1039/d6cc03189g}
}

RIS

TY  - JOUR
TI  - Machine learning-empowered electrochemical nanobiosensors: towards intelligent diagnostics and data analysis.
AU  - Wu Z
AU  - Sun Z
AU  - Sun K
AU  - Liu Q
AU  - Yang K
AU  - Fang Y
AU  - Liang Z
AU  - Tsai HS
AU  - Cai T
AU  - Wang Y
AU  - Li X
AU  - Lin CT
AU  - Fu L
PY  - 2026
JO  - Chemical communications (Cambridge, England)
DO  - 10.1039/d6cc03189g
UR  - https://doi.org/10.1039/d6cc03189g
ER  -

APA

Z, W., Z, S., K, S., Q, L., K, Y., Y, F., Z, L., HS, T., T, C., Y, W., X, L., CT, L., & L, F. (2026). Machine learning-empowered electrochemical nanobiosensors: towards intelligent diagnostics and data analysis.. Chemical communications (Cambridge, England). https://doi.org/10.1039/d6cc03189g

Source records

pubmed · retrieved 2026-09-25T01:21:45.704Z