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This is a Quantitative Study study.

Biological age assessment in 100,000 whole-body MRI of the German National Cohort (NAKO) and UK Biobank

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This study reveals biological age assessment via MRI in 100,000 participants from UK Biobank and NAKO, suggesting insights into aging factors.

Estimates of biological age can be derived from multi-organ MRI data in large cohorts, enhancing aging research.
Using models based on ResNet, biological age was predicted for various organs from 100,000 participants in two cohorts.
GradCAM analysis identifies specific regions of organs that correlate with expected age-related changes in MRI scans.
This imaging-based approach highlights the potential for further investigation of aging patterns across populations.

Ecker et al. (2025) studied this question.

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This study reveals biological age assessment via MRI in 100,000 participants from UK Biobank and NAKO, suggesting insights into aging factors.