Machine learning-powered audio-omics processing method as an auxiliary diagnostic approach for advanced nasopharyngeal carcinoma.

You T, Huan F, Luo Z, Ma Y, Liu Z, Wu S, Zhang D, Gong L

DOI: 10.1186/s12885-026-16374-8
Published: 2026 Jun 24
Container: BMC cancer
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12885-026-16374-8,
  title = {Machine learning-powered audio-omics processing method as an auxiliary diagnostic approach for advanced nasopharyngeal carcinoma.},
  author = {You T and Huan F and Luo Z and Ma Y and Liu Z and Wu S and Zhang D and Gong L},
  year = {2026},
  journal = {BMC cancer},
  doi = {10.1186/s12885-026-16374-8},
  url = {https://doi.org/10.1186/s12885-026-16374-8}
}

RIS

TY  - JOUR
TI  - Machine learning-powered audio-omics processing method as an auxiliary diagnostic approach for advanced nasopharyngeal carcinoma.
AU  - You T
AU  - Huan F
AU  - Luo Z
AU  - Ma Y
AU  - Liu Z
AU  - Wu S
AU  - Zhang D
AU  - Gong L
PY  - 2026
JO  - BMC cancer
DO  - 10.1186/s12885-026-16374-8
UR  - https://doi.org/10.1186/s12885-026-16374-8
ER  -

APA

T, Y., F, H., Z, L., Y, M., Z, L., S, W., D, Z., & L, G. (2026). Machine learning-powered audio-omics processing method as an auxiliary diagnostic approach for advanced nasopharyngeal carcinoma.. BMC cancer. https://doi.org/10.1186/s12885-026-16374-8

Source records

pubmed · retrieved 2026-09-26T07:58:52.817Z