A review article discusses the concept of organ-specific biological clocks and their potential in personalized anti-aging medicine. The article highlights the importance of understanding the varying rates of aging across different organs and how this can lead to more effective prevention and treatment strategies for age-related diseases (ARDs). It emphasizes the role of biological clocks, which are based on various omics technologies such as DNA methylation, transcriptomics, proteomics, and metabolomics, in predicting aging and ARD development with high accuracy. The review discusses the development of ageotypes, which are individualized aging profiles that reflect the unique trajectory of aging for each person. These ageotypes can help in identifying the specific organs that are aging faster or slower, allowing for targeted interventions. The article also addresses the challenges in applying these concepts in clinical practice, including the need for more longitudinal studies, the influence of sex and ethnicity on aging, and the cost-effectiveness of using omics-based approaches. The review concludes that while there is significant potential in using organ-specific biological clocks for personalized anti-aging medicine, further research is needed to refine these tools and ensure their applicability in a wide range of populations. The integration of artificial intelligence with multi-omics data is seen as a promising approach to improve the accuracy and utility of these biological clocks in predicting aging and ARD development. The article also highlights the importance of considering socio-economic factors in the application of these technologies to ensure equitable access and effectiveness for all individuals.A review article discusses the concept of organ-specific biological clocks and their potential in personalized anti-aging medicine. The article highlights the importance of understanding the varying rates of aging across different organs and how this can lead to more effective prevention and treatment strategies for age-related diseases (ARDs). It emphasizes the role of biological clocks, which are based on various omics technologies such as DNA methylation, transcriptomics, proteomics, and metabolomics, in predicting aging and ARD development with high accuracy. The review discusses the development of ageotypes, which are individualized aging profiles that reflect the unique trajectory of aging for each person. These ageotypes can help in identifying the specific organs that are aging faster or slower, allowing for targeted interventions. The article also addresses the challenges in applying these concepts in clinical practice, including the need for more longitudinal studies, the influence of sex and ethnicity on aging, and the cost-effectiveness of using omics-based approaches. The review concludes that while there is significant potential in using organ-specific biological clocks for personalized anti-aging medicine, further research is needed to refine these tools and ensure their applicability in a wide range of populations. The integration of artificial intelligence with multi-omics data is seen as a promising approach to improve the accuracy and utility of these biological clocks in predicting aging and ARD development. The article also highlights the importance of considering socio-economic factors in the application of these technologies to ensure equitable access and effectiveness for all individuals.