Autor: Zachary Everton, Jorge Botas, Seon Young Kim, Lin Yao, Zhandong Liu, Hyun-Hwan Jeong

Everton et al. develop MARRVEL-MCP, a natural-language interface that enables large language models to use 44 genomic tools for rare disease variant interpretation. With tool access, small models (3B–20B) matched or outperformed larger models without t…

Everton et al. develop MARRVEL-MCP, a natural-language interface that enables large language models to use 44 genomic tools for rare disease variant interpretation. With tool access, small models (3B–20B) matched or outperformed larger models without t…