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Benchmarking large language models for cell-free RNA diagnostic biomarker discovery

2025-08-24

Abstract excerpt

<h4>ABSTRACT</h4> Large-language models (LLMs) can parse vast amounts of data and generate executable code, positioning them as promising tools for the development of biomarkers and classifiers from high-throughput omics data. Here, we benchmarked six LLMs, OpenAI’s o3 and GPT-4o, Anthropic’s Claude Opus 4 and Claude 3.7 Sonnet, and Google’s Gemini 2.5 Pro and Gemini 2.0 Flash, for disease classification based on...

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Literature Corpus work
14d975a5-7337-5774-bb9f-2cce0f6866f4
DOI
10.1101/2025.08.20.671358
Open publication

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Benchmarking large language models for cell-free RNA diagnostic biomarker discoveryDOI 10.1101/2025.08.20.671358
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