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Article

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

Proceedings of the National Academy of Sciences of the United States of America - 18 Nov 2025

Meng Ran, Zhu William, Cameron Christopher J F, Ni Pengyu, Zhou Xiao, Ulammandakh Tselmeg, Gerstein Mark B

Abstract excerpt

Histological images offer a wealth of data. Mining these data holds significant potential for enhancing disease diagnosis and prognosis, though challenges remain, especially in noncancer contexts. In this study, we developed a statistical framework that links raw histological images and their derived features to the genotype, transcriptome, and chronological age of the samples. We first demonstrated an...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 41218125
DOI: 10.1073/pnas.2423469122
PMCID: PMC12646272

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