Mariam Khanfar

The paper introduces CIViC MCP, a system that uses large language models to interface with the CIViC knowledgebase, enabling natural language queries for cancer variant interpretations.

CIViC-Fact evaluates AI models for verifying cancer variant interpretations using full-text evidence, showing abstracts are insufficient for accurate validation.

This study uses single-cell RNA sequencing to analyze Kaposi Sarcoma tumors and blood samples, identifying KSHV-infected cell types and their biomarkers, and showing changes with therapy.