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This is a Quantitative Study study.

October 27, 2025Open Access

Supervoxel-based image-to-biomarker conversions - An initial study on morphological age prediction from whole-body MRI and its clinical relevance in the UK Biobank

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Predictions of morphological age achieved a mean absolute error of 1.951 years in 38,235 subjects, indicating high predictive accuracy.
The study utilized whole-body MRI data and advanced image registration techniques to define biomarkers for age.
Significant relationships were found between predicted age and clinical outcomes, such as type 2 diabetes and mortality.
Automated image-to-biomarker conversions offer potential for many future medical applications, enhancing clinical relevance.

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Initial study predicts morphological age from whole-body MRI in UK Biobank, highlighting links to type 2 diabetes.

Öfverstedt et al. (2025) studied this question.

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