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Article

Predicting TP53 Biomarkers from Whole Slide Images across Human Solid Tumors Using Weakly Supervised Learning.

The American journal of pathology - 1 Sept 2026

Chaurasia Abadh K, Toohey Patrick W, Bennett Matthew T, Harris Helen C, Hewitt Alex W

Abstract excerpt

Accurate molecular profiling from routine histopathology slides could transform clinical oncology. A Vision Transformer (ViT)-based model was developed to jointly predict the TP53 biomarker, detect 32 solid tumor types, and predict survival directly from whole slide images (WSIs). Over 11,000 primary tumor data were retrieved from the Pan-Cancer Atlas, along with corresponding somatic mutation, RNA-sequencing,...

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Identifiers

PMID: 42276414
DOI: 10.1016/j.ajpath.2026.05.008

Genes

TP53

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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