SOCIOECONOMIC INFLUENCE ON BIOLOGICAL AGE: AN OVERVIEW OF CURRENT STUDIES AND ROLE OF ARTIFICIAL INTELLIGENCE

DOI: 10.31673/2412-4338.2024.03041234

Abstract

The article is devoted to the analysis and systematization of the relationship between biological aging and the socio-economic status of the population, as well as the use of artificial intelligence (AI) methods to determine biological age. Biological aging is an instrument for determining health status of a person, that is influenced by genetic, environmental, social, economic and other factors. The pace of biological aging is determined using biological age, the definition of which is one of the most pressing issues in Ukraine and the world, as it helps in the diagnosis and prevention of various diseases. Socioeconomic status (SES) is one of the key indicators in analysis of health status of person on scale of groups of people, which includes factors describing the state of education, health care, household income, environmental influences, occupation and mental state. In this work the pace of biological aging is analyzed, as well as influence on it of such factors as wear and tear of body the body due to chronic stress, the presence of various bad habits, the lack of access to quality resources (e.g., food, clean air, etc.) and the deterioration of the psychological state of the population. Results of the conducted research showed that low level of SES significantly accelerates biological aging of a person. The appliance of AI methods in the field of biological aging was analyzed in the following directions: modelling of aging processes, selection of biomarkers, evaluation of biomarker effects and application of automated personalized aging interventions. It is expected that AI methods will be used to analyze large-scale data in order to predict aging a certain region of Ukraine, taking into account various environmental factors and the level of SES. This approach can be invaluable in efficient addressing the most pressing problems of aging and ensuring high quality of life.

Keywords: artificial intelligence, biomarkers, biological age, socioeconomic status.

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