Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification

Benchmarking large language models GPT-4o, llama 3.1, and qwen 2.5 for cancer genetic variant classification

Abstract Classifying cancer genetic variants based on clinical actionability is crucial yet challenging in precision oncology. Large language models (LLMs) offer potential solutions, but their performance remains underexplored. This study evaluates GPT-4o, Llama 3.1, and Qwen 2.5 in classifying gene...

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Main Authors: Kuan-Hsun Lin, Tzu-Hang Kao, Lei-Chi Wang, Chen-Tsung Kuo, Paul Chih-Hsueh Chen, Yuan-Chia Chu, Yi-Chen Yeh
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-00935-4
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https://doi.org/10.1038/s41698-025-00935-4

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