scAgent is a universal cell annotation framework that leverages Large Language Models to identify and classify cell types from RNA sequencing data with unprecedented flexibility and accuracy.

• Universal application across different tissues and cell types
• Novel cell type discovery capabilities beyond pre-defined categories
• Generalizable approach that extends to previously unseen cell types
• Improved accuracy compared to traditional deep learning annotation methods

This breakthrough matters because it enables researchers to better understand cellular heterogeneity, which is fundamental to advancing precision medicine, disease research, and therapeutic development.

Original Paper: scAgent: Universal Single-Cell Annotation via a LLM Agent