A Machine‐Learning Model of Chronological Age Based on Routine Blood Biomarkers in a Central European Population: A Potential Biological Age Marker

Pavel Borsky, Drahomira Holmannova, Tereza Maresova, Anabela Cizkova, Tereza Kempfova, Svatopluk Byma, Tom Philipp, Lenka Borska

Open source

DOI
10.1155/jare/9924922
Published
2025-01
Container
Journal of Aging Research
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1155/jare/9924922,
  title = {A Machine‐Learning Model of Chronological Age Based on Routine Blood Biomarkers in a Central European Population: A Potential Biological Age Marker},
  author = {Pavel Borsky and Drahomira Holmannova and Tereza Maresova and Anabela Cizkova and Tereza Kempfova and Svatopluk Byma and Tom Philipp and Lenka Borska},
  year = {2025},
  journal = {Journal of Aging Research},
  doi = {10.1155/jare/9924922},
  url = {https://doi.org/10.1155/jare/9924922}
}

RIS

TY  - JOUR
TI  - A Machine‐Learning Model of Chronological Age Based on Routine Blood Biomarkers in a Central European Population: A Potential Biological Age Marker
AU  - Pavel Borsky
AU  - Drahomira Holmannova
AU  - Tereza Maresova
AU  - Anabela Cizkova
AU  - Tereza Kempfova
AU  - Svatopluk Byma
AU  - Tom Philipp
AU  - Lenka Borska
PY  - 2025
JO  - Journal of Aging Research
DO  - 10.1155/jare/9924922
UR  - https://doi.org/10.1155/jare/9924922
ER  - 

APA

Borsky, P., Holmannova, D., Maresova, T., Cizkova, A., Kempfova, T., Byma, S., Philipp, T., & Borska, L. (2025). A Machine‐Learning Model of Chronological Age Based on Routine Blood Biomarkers in a Central European Population: A Potential Biological Age Marker. Journal of Aging Research. https://doi.org/10.1155/jare/9924922

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