The Duke & Chen Institute Joint Boot Camp for AI & AI Accelerated Medical Research concluded successfully on May 16, 2025, after five intensive days of cutting-edge presentations and discussions. The program, hosted by Prof. Jian Pei, brought together distinguished faculty and participants to explore the latest developments in medical artificial intelligence.
Featured Speakers
Day 1 (May 12)
Challenges & Opportunities in Translating AI to Healthcare
Prof. May Dongmei Wang (Georgia Tech) on pHealth paradigm and foundation models; Prof. Wei Wang (UCLA) on medical information retrieval in the LLM era, CliBench benchmarking, and medical information extraction models.
Day 2 (May 13)
Causal Generalist Medical Artificial Intelligence (CGM-AI)
Prof. Hongtu Zhu on CGM-AI integration and biomedical knowledge graphs; Prof. Huaxiu Yao on CGM-LLMs and multi-agent systems; Prof. Qiao Liu on omics foundation models; Prof. Xin Wang on medical imaging foundation models.
Day 3 (May 14)
Harnessing Real World Evidence for Better Clinical Trials with AI
Prof. Fei Wang (Weill Cornell) on real-world evidence, target-trial emulation, and federated learning; Prof. Bang Liu (University of Montreal) on intelligent medical agents and multi-agent system design.
Day 4 (May 15)
Scalable and Responsible Natural Language Processing to Transform Healthcare
Prof. Monica Agrawal (Duke) on LLMs in healthcare, EHR information extraction, and responsible AI deployment; Additional sessions on advanced machine learning for imaging-omics analysis and federated learning.
Day 5 (May 16)
Foundation Models and Knowledge Graphs for Human Genome and Multi-Modal Data
Comprehensive sessions on foundation models for human genome research, knowledge graphs for multi-modal biomedical data, 3D chromatin organization, and causal inference using large-scale datasets.