Nanobiosensors and Artificial Intelligence Strategies for Glycan Profiling in Cancer Progression: A Critical Review.

Khamis R, Wu Y, Sina AA, Trau M, Wuethrich A.

DOI: 10.1021/acssensors.5c04911
Published: 2026-04-14
Container: ACS Sens
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1021/acssensors.5c04911,
  title = {Nanobiosensors and Artificial Intelligence Strategies for Glycan Profiling in Cancer Progression: A Critical Review.},
  author = {Khamis R and  Wu Y and  Sina AA and  Trau M and  Wuethrich A.},
  year = {2026},
  journal = {ACS Sens},
  doi = {10.1021/acssensors.5c04911},
  url = {https://doi.org/10.1021/acssensors.5c04911}
}

RIS

TY  - JOUR
TI  - Nanobiosensors and Artificial Intelligence Strategies for Glycan Profiling in Cancer Progression: A Critical Review.
AU  - Khamis R
AU  -  Wu Y
AU  -  Sina AA
AU  -  Trau M
AU  -  Wuethrich A.
PY  - 2026
JO  - ACS Sens
DO  - 10.1021/acssensors.5c04911
UR  - https://doi.org/10.1021/acssensors.5c04911
ER  -

APA

R, K., Y, W., AA, S., M, T., & A., W. (2026). Nanobiosensors and Artificial Intelligence Strategies for Glycan Profiling in Cancer Progression: A Critical Review.. ACS Sens. https://doi.org/10.1021/acssensors.5c04911

Source records

europe-pmc · retrieved 2026-09-27T15:13:00.690Z