Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels.

Hefner S, Stoffers P, Langenberger B, Holstein A, Garafolj M, Klötzer C, Herling C, Vucinic V, Henschler R, Stern AD, Platzbecker U, Platzbecker AS

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DOI: 10.1038/s44385-026-00087-5
Published: 2026 Jun 2
Container: npj biomedical innovations
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s44385-026-00087-5,
  title = {Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels.},
  author = {Hefner S and Stoffers P and Langenberger B and Holstein A and Garafolj M and Klötzer C and Herling C and Vucinic V and Henschler R and Stern AD and Platzbecker U and Platzbecker AS},
  year = {2026},
  journal = {npj biomedical innovations},
  doi = {10.1038/s44385-026-00087-5},
  url = {https://doi.org/10.1038/s44385-026-00087-5}
}

RIS

TY  - JOUR
TI  - Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels.
AU  - Hefner S
AU  - Stoffers P
AU  - Langenberger B
AU  - Holstein A
AU  - Garafolj M
AU  - Klötzer C
AU  - Herling C
AU  - Vucinic V
AU  - Henschler R
AU  - Stern AD
AU  - Platzbecker U
AU  - Platzbecker AS
PY  - 2026
JO  - npj biomedical innovations
DO  - 10.1038/s44385-026-00087-5
UR  - https://doi.org/10.1038/s44385-026-00087-5
ER  -

APA

S, H., P, S., B, L., A, H., M, G., C, K., C, H., V, V., R, H., AD, S., U, P., & AS, P. (2026). Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels.. npj biomedical innovations. https://doi.org/10.1038/s44385-026-00087-5

Source records

pubmed · retrieved 2026-09-26T07:00:42.616Z