activity
20232025
most citedDISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

21 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.CB2025

scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection

Zhen Yuan, Shaoqing Jiao, Yihang Xiao +1

The advent of single-cell multi-omics technologies has enabled the simultaneous profiling of diverse omics layers within individual cells. Integrating such multimodal data provides…

cs.CL2024

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation

Zhijie Bao, Qingyun Liu, Ying Guo +6

In China, receptionist nurses face overwhelming workloads in outpatient settings, limiting their time and attention for each patient and ultimately reducing service quality. In thi…

cs.AI20247 cited

CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Yihang Xiao, Jinyi Liu, Yan Zheng +9

Single-cell RNA sequencing (scRNA-seq) data analysis is crucial for biological research, as it enables the precise characterization of cellular heterogeneity. However, manual manip…

q-bio.BM20242 cited

Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering

Shujian Jiao, Bingxuan Li, Lei Wang +4

Proteins are essential to life's processes, underpinning evolution and diversity. Advances in sequencing technology have revealed millions of proteins, underscoring the need for so…

cs.CL202321 cited

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

Zhijie Bao, Wei Chen, Shengze Xiao +6

We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthca…