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Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age

https://www.profitableratecpm.com/f4ffsdxe?key=39b1ebce72f3758345b2155c98e6709c

Proceedings of the National Academy of Sciences, Volume 122, Issue 46, November 2025. <br/>SignificanceThis study establishes a comprehensive framework that links histological image features to genotype, transcriptome, and chronological age in large-scale healthy tissue datasets, providing valuable insights into tissue morphology. By …

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