Estimating biological age by hematological blood parameters

  • Anatoly Pisaruk D.F. Chebotarev Institute of Gerontology NAMS of Ukraine
  • Ludmila Mekhova D.F. Chebotarev Institute of Gerontology NAMS of Ukraine
Keywords: biological age, hematological blood parameters, deep neural network


Abstract. For the estimation of the biological age (BA) of people based on hematological parameters of the clinical blood test there were used MLR and Deep Neural Networks. In the archive of the Institute of Gerontology NAMS of Ukraine there were selected people aged from 20 up to 90 years (440 men and 504 women), who had all hematological parameters within normal limits. When using the MLR method, the multiple correlation coefficients (R) have low values for both men (0.37) and women (0.38). The use of Deep Neural Networks has given good results. The values of the correlation coefficients between BA and chronological age were 0.92 for men and 0.79 for women. The average absolute error in determining BA was 3.68 years for the men and 6.55 years for the women. The developed method for assessing hematological age can be used in clinical practice to identify people with the risk of developing hematological pathology, as well as in population researches.

Author Biographies

Anatoly Pisaruk, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine

DSc (Medicine), Head of the Laboratory for Mathematical Modeling of Aging Processes

Ludmila Mekhova, D.F. Chebotarev Institute of Gerontology NAMS of Ukraine

PhD (Medicine), Senior Researcher of the Laboratory for Mathematical Modeling of Aging


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How to Cite
Pisaruk, A., & Mekhova, L. (2021). Estimating biological age by hematological blood parameters. Ageing and Longevity, 2(3), 14-21. Retrieved from

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