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Prediction of <i>TP53</i> biomarkers and survival outcomes from whole slide images using a vision transformer-based multi-instance learning framework

2025-11-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Accurate molecular profiling and prognostication from routine histopathology slides could transform precision oncology. We developed a Vision Transformer (ViT)-based multi-instance learning (MIL) framework for combined predictions of 32 solid tumour types, TP53 biomarker detection, and survival prediction directly from Whole Slide Images (WSIs). <h4>Methods</h4> 11,060 pr...

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Literature Corpus work
0968b94f-6975-5476-893f-7a8f14f55737
DOI
10.1101/2025.11.11.25340052
Open publication

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Prediction of <i>TP53</i> biomarkers and survival outcomes from whole slide images using a vision transformer-based multi-instance learning frameworkDOI 10.1101/2025.11.11.25340052
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