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Yi Xin

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Review Open access Oct 2026

Guideline-grounded large language models for extracting genome-informed clinical recommendations from electronic health records.

BACKGROUND Precision medicine requires delivery and tracking of genome-informed risk assessments (GIRAs), often documented in unstructured electronic health record (EHR) notes, making large-scale evaluation reliant on labor-intensive manual chart review. Large language models (LLMs) offer a promising approach to automa...

Yi Xin, K. W. Davis, Wu-Chen Su et al. · 0 citations
Review Open access Aug 2026

Assessing the Reliability of LLM-Generated Phenotype-Genotype Associations Through External Validation

Background Phenotype-genotype associations underpin precision medicine by enabling disease prevention, early diagnosis, risk stratification, therapeutic target discovery, and personalized treatment. However, the rapid growth of scientific evidence has made manual curation of these associations increasingly labor-intens...

Caiwan Sun, Yi Xin, Sarah Zeng et al. · 0 citations

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