Exhale-Dx™: A non-invasive, real-time breath analysis system using deep learning for asthma diagnosis.

Ahmed H, Flavier JA, Higgs V

DOI: 10.14440/jbm.2024.0142
Published: 2025
Container: Journal of biological methods
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.14440/jbm.2024.0142,
  title = {Exhale-Dx™: A non-invasive, real-time breath analysis system using deep learning for asthma diagnosis.},
  author = {Ahmed H and Flavier JA and Higgs V},
  year = {2025},
  journal = {Journal of biological methods},
  doi = {10.14440/jbm.2024.0142},
  url = {https://doi.org/10.14440/jbm.2024.0142}
}

RIS

TY  - JOUR
TI  - Exhale-Dx™: A non-invasive, real-time breath analysis system using deep learning for asthma diagnosis.
AU  - Ahmed H
AU  - Flavier JA
AU  - Higgs V
PY  - 2025
JO  - Journal of biological methods
DO  - 10.14440/jbm.2024.0142
UR  - https://doi.org/10.14440/jbm.2024.0142
ER  -

APA

H, A., JA, F., & V, H. (2025). Exhale-Dx™: A non-invasive, real-time breath analysis system using deep learning for asthma diagnosis.. Journal of biological methods. https://doi.org/10.14440/jbm.2024.0142

Source records

pubmed · retrieved 2026-09-25T07:39:33.532Z