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Self-supervised AI reveals a lethal discohesive phenotype in lung adenocarcinoma

2025-11-13

Abstract excerpt

Applications of artificial intelligence (AI) to histopathology are now common, but most require supervision which inherently limits their scope. By using self-supervised learning (SSL), we discover and quantify the full range of histopathological appearances in a disease, and associate them with clinicopathological ground truths such as prognosis. We used this approach to discover under-appreciated morphologies of...

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Literature Corpus work
d3fa0ed8-f762-58d2-b672-110a0067a0dd
DOI
10.1101/2025.11.12.688049
Open publication

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Self-supervised AI reveals a lethal discohesive phenotype in lung adenocarcinomaDOI 10.1101/2025.11.12.688049
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