Exploring the feasibility of near-infrared spectroscopy and machine learning for detecting cardiovascular diseases and diabetes mellitus in fingernails.
- DOI
- 10.1039/d5an01061f
- Published
- 2026 Mar 17
- Container
- The Analyst
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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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 = {The 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 - The 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.. The Analyst. https://doi.org/10.1039/d5an01061f
Source records
- pubmed · retrieved 2026-11-10T10:11:48.199Z
- europe-pmc · retrieved 2026-11-10T10:11:48.212Z