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Information technologies and systems

February 14, 2025; Boston, USA: VII International Scientific and Practical Conference «SCIENTIFIC PRACTICE: MODERN AND CLASSICAL RESEARCH METHODS»


USAGE OF AI FOR BIOLOGICAL AGEING ESTIMATION WITH TRANSFER LEARNING AND SOCIO-ECONOMIC STATUS


DOI
https://doi.org/10.36074/logos-14.02.2025.044
Published
14.03.2025

Abstract

Modern ageing studies are becoming more and more actual and important as people in developed countries tend to live longer. Longer lifespan results in health issues could be avoided if studied and addressed beforehand. Biological age (BA) can be used to give an estimation of health status at the moment [3] and create ageing trajectory from health perspective to address possible health issues in the future. BA estimation is usually based on biomarkers, genetics, epigenetics, etc. [5], but adding socio-economic status (SES) of a person can produce more precise results taking into account lifestyle factors that influence health [6].

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