Article

Towards Maps of Disease Progression: Biomedical Large Language Model Latent Spaces For Representing Disease Phenotypes And Pseudotime

2024-06-16

Abstract excerpt

<h4>ABSTRACT</h4> In this study, we propose a scientific framework to detect capability among biomedical large language models (LLMs) for organizing expressions of comorbid disease and temporal progression. We hypothesize that biomedical LLMs pretrained on next-token prediction produce latent spaces that implicitly capture "disease states" and disease progression, i.e., the transitions over disease states over ti...

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Literature Corpus work: 48507af1-9ec9-5528-b8a0-8b54d0f0f01b
DOI: 10.1101/2024.06.16.24308979

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