Large Language Models for Translational Cancer Informatics

LLMs have the potential to significantly advance cancer research by providing scalable and effective tools for analyzing and interpreting single-cell, spatial transcriptomic, and pathology data. Future efforts should prioritize tailoring these models to cancer-specific contexts to enhance their utility in uncovering disease mechanisms, identifying biomarkers, and informing therapeutic strategies.