Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease
IntroductionDNA methylation (DNAm) age clocks are powerful tools for measuring biological age, providing insights into aging risks and outcomes beyond chronological age. While traditional models are effective, their interpretability is limited by their dependence on small and potentially stochastic...
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Main Authors: | David Martínez-Enguita, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Aging |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fragi.2024.1526146/full |
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