Precision oncology requires accurate biomarker-driven treatment guidance, yet LLMs often lack up-to-date clinicogenomic knowledge. Jun et al. develop a dynamically updated context-augmented LLM framework that improves biomarker-driven treatment recommendations compared to LLM-only approaches, achieving up to 93% accuracy on real-world queries and providing an adaptable framework for LLM deployment in oncology.
Cancer Cell published a clinical update in Oncology on 15 Jan 2026.
The item focuses on A context-augmented large language model for accurate precision oncology medicine recommendations.
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