Yalong Zhao

BioScientist Agent: Designing LLM-Biomedical Agents with KG-Augmented RL Reasoning Modules for Drug Repurposing and Mechanistic of Action Elucidation

The paper introduces BioScientist Agent, a framework combining a biomedical knowledge graph, variational graph auto-encoder, reinforcement learning, and LLMs to improve drug repurposing and mechanistic reasoning.

SC-MAMBA2: Leveraging State-Space Models for Efficient Single-Cell Ultra-Long Transcriptome Modeling

SC-MAMBA2 is a single-cell foundation model using state-space models to efficiently process ultra-long transcriptome sequences, outperforming existing models in accuracy and efficiency.