Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.

Wilson M, Al-Jumeily D, Birkett J, Khan I, Abbas I, Harper M, Assi S.

DOI: 10.1039/d5an01061f
Published: 2026-03-17
Container: Analyst
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1039/d5an01061f,
  title = {Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.},
  author = {Wilson M and  Al-Jumeily D and  Birkett J and  Khan I and  Abbas I and  Harper M and  Assi S.},
  year = {2026},
  journal = {Analyst},
  doi = {10.1039/d5an01061f},
  url = {https://doi.org/10.1039/d5an01061f}
}

RIS

TY  - JOUR
TI  - Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.
AU  - Wilson M
AU  -  Al-Jumeily D
AU  -  Birkett J
AU  -  Khan I
AU  -  Abbas I
AU  -  Harper M
AU  -  Assi S.
PY  - 2026
JO  - Analyst
DO  - 10.1039/d5an01061f
UR  - https://doi.org/10.1039/d5an01061f
ER  -

APA

M, W., D, A., J, B., I, K., I, A., M, H., & S., A. (2026). Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.. Analyst. https://doi.org/10.1039/d5an01061f

Source records

europe-pmc · retrieved 2026-09-26T02:53:47.794Z