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@MedX-PKU

MedX Lab (医维矩阵实验室) @ PKU

Advancing Healthcare Frontiers with AI

MedX Lab @ Peking University

北京大学医维矩阵实验室

Website

English

Welcome to the MedX Lab (医维矩阵实验室), a medical AI research group at Peking University. We are dedicated to advancing healthcare through cutting-edge AI.

🎯 Core Research Directions

Icon Direction Description
📊 Multimodal EHR Predictive Modeling Building clinically verifiable, highly trustworthy, and interpretable deep learning frameworks.
🧠 Medical LLMs & Agents Developing specialized LLMs and collaborative AI agents for clinical tasks.
🔬 AI for Science Platforms Creating toolkits and benchmarks to accelerate medical AI research.

✨ Featured Projects

Project Description
🚀 MedAgentBoard A benchmark for multi-agent collaboration in diverse medical tasks. (NeurIPS 2025)
🤝 ColaCare Enhancing EHR modeling with LLM-driven multi-agent collaboration. (WWW 2025)
🛠️ PyEHR A predictive modeling toolkit for Electronic Health Records data.
📝 Magical Medical lay language generation via semantic invariance and adaptation. (NeurIPS 2025)

🌐 Connect with Us

  • 🌐 Visit our Website: medx-pku.com
  • 📧 Contact Us: Email Prof. Liantao Ma at malt [at] pku.edu.cn
  • 💼 Join Us: We are always looking for passionate students. Learn More
中文

欢迎来到北京大学 医维矩阵实验室 (MedX Lab)。我们是隶属于北京大学的医学人工智能研究团队,致力于通过前沿AI技术推动医疗健康领域的发展。

🎯 核心研究方向

图标 方向 描述
📊 多模态电子病历预测建模 构建临床可验证的高可信、可解释性深度学习框架。
🧠 医疗大模型与智能体 研发面向临床任务的专用大语言模型与协作式AI智能体。
🔬 AI for Science 平台 创建开源工具包与基准测试,加速医学AI研究。

✨ 特色项目

项目 描述
🚀 MedAgentBoard 面向复杂医疗任务的多智能体协作基准测试平台。(NeurIPS 2025)
🤝 ColaCare 基于大语言模型驱动的多智能体协作EHR建模框架。(WWW 2025)
🛠️ PyEHR 一个面向电子病历(EHR)数据的预测建模工具包。
📝 Magical 兼顾语义保真度与简化风格的医学文本通俗化生成框架。(NeurIPS 2025)

🌐 联系我们

  • 🌐 访问我们的网站: medx-pku.com
  • 📧 联系我们: 发送邮件至马连韬老师 malt [at] pku.edu.cn
  • 💼 加入我们: 我们长期欢迎充满热情的学生加入。 了解更多

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