From ageing clocks to human digital twins in personalising healthcare through biological age analysis
Abstract Age is the most important risk factor for the majority human diseases, leading to the exploration of innovative approaches, including the development of predictors to estimate biological age (BA). These predictors offer promising insights into the ageing process and age-related diseases. Wi...
| Published in: | npj Digital Medicine |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Online Access: | https://doi.org/10.1038/s41746-025-01911-9 |