The article reviews the concept of organ-specific biological clocks and ageotyping, which is a novel approach to personalized anti-aging medicine. Aging is a complex, multidimensional process affecting multiple organ systems, and recent studies have shown that individual organs contribute differently to overall aging. The development of organ-specific aging clocks, which integrate multiple omics data with clinical parameters and artificial intelligence, has allowed for the prediction of specific age-related diseases with high precision. These clocks reveal that the aging rate of different organs varies among individuals, leading to the concept of "ageotype," which describes the unique trajectory of aging for each individual. The article highlights the potential of ageotyping for preventive medicine, emphasizing the need for further research to explore the modifying effects of sex and ethnicity, as well as the importance of studying aging in young individuals. Despite the challenges, such as the high cost of technologies and the limited availability of resources, the authors suggest that the integration of deep phenotyping and artificial intelligence could facilitate the application of ageotyping in clinical practice, ultimately leading to more effective and targeted interventions for healthy aging.The article reviews the concept of organ-specific biological clocks and ageotyping, which is a novel approach to personalized anti-aging medicine. Aging is a complex, multidimensional process affecting multiple organ systems, and recent studies have shown that individual organs contribute differently to overall aging. The development of organ-specific aging clocks, which integrate multiple omics data with clinical parameters and artificial intelligence, has allowed for the prediction of specific age-related diseases with high precision. These clocks reveal that the aging rate of different organs varies among individuals, leading to the concept of "ageotype," which describes the unique trajectory of aging for each individual. The article highlights the potential of ageotyping for preventive medicine, emphasizing the need for further research to explore the modifying effects of sex and ethnicity, as well as the importance of studying aging in young individuals. Despite the challenges, such as the high cost of technologies and the limited availability of resources, the authors suggest that the integration of deep phenotyping and artificial intelligence could facilitate the application of ageotyping in clinical practice, ultimately leading to more effective and targeted interventions for healthy aging.