The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration - PubMed
4 hours ago
- #multi-omics
- #deep learning
- #aging clocks
- Aging clocks integrate multi-omics data, including epigenetic, transcriptomic, proteomic, metabolic, and microbial information, to quantify biological aging.
- These tools hold potential for preventive medicine, early detection of chronic conditions, and monitoring interventions aimed at improving population health.
- Advances in artificial intelligence, particularly ensemble and deep learning, have enabled the development of more accurate and interpretable multi-omics aging clocks.
- Aging clocks built on large-scale data and AI provide insights into aging mechanisms and support clinical practices for delaying age-related diseases and promoting healthy aging.