A SCIENTIFIC APPROACH TO UTILIZING ARTIFICIAL INTELLIGENCE FOR THE DIAGNOSIS AND PREDICTION OF EARLY AGING

Мадина Сулейменова, D.M. Mukhammedzhanova, Raikhan Amanova

2024

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DOI 10.53364/24138614_2024_35_4_8
Data confidence 70 medium
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Abstract

Premature ageing is one of the most pressing problems of modern medicine. It is associated with accelerated wear and tear of tissues and organs, which can lead to the development of chronic diseases and reduced life expectancy. In recent years, artificial intelligence (AI) has started to play a key role in healthcare, providing new tools for diagnosis and prognosis. This article reviews current AI advances in the study of premature aging processes, including the use of machine learning to analyse aging biomarkers, estimate biological age, and predict the risk of age-related diseases.