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Histological Aging Signatures: A New Window into Tissue-Specific Aging and Disease
Key Takeaways
- Study analyzed whole-slide histopathological images from 40 tissue types to identify morphological changes associated with aging.
- Each tissue exhibits a unique aging trajectory, and deviations from expected aging are linked to disease.
- Histological aging signatures could serve as biomarkers for disease risk and progression.
- Machine learning algorithms were used to extract and quantify morphological features, ensuring reproducibility.
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DT Editorial Team··via nature.com