为了解国外文本挖掘方面最新发展趋势，中心特邀请美国生物医学信息中心（NCBI）高级研究员陆致用先生就生物医学文本挖掘新兴领域进行专题交流。现就有关事项通知如下：
Dr. Zhiyong Lu
Earl Stadtman Investigator
Head, Text Mining Group
National Center of Biotechnology Information (NCBI)
National Library of Medicine (NLM)
National Institutes of Health (NIH)
The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. But the large body of knowledge—mostly exists as free text in journal articles for humans to read—presents a grand new challenge: bio-scientists around the world are increasingly finding themselves overwhelmed by the sheer volume of research literature and are struggling to keep up to date and to make sense of this wealth of textual information. Our research aims to break down this barrier and to empower scientists towards accelerated knowledge discovery. In this talk, I will discuss new frontiers in text-mining research and its applications in translational bioinformatics research and healthcare.
Dr. Lu is an Earl Stadtman investigator at the National Institutes of Health, where he joined immediately after earning a PhD in Bioinformatics at the University of Colorado School of Medicine. His research group is developing computational methods for analyzing and making sense of natural language data in biomedical literature and clinical text. Several of his recent research has been successfully integrated into and widely used in PubMed and other NCBI web resources. Since 2003, Dr. Lu has authored about 100 scientific publications. He is an Associate Editor for BMC Bioinformatics and serves on the editorial board for the Journal Database. He also leads the organization of several major international conferences in BioNLP and bioinformatics research such as the BioCreative workshops, PSB sessions on drug repurposing and crowdsourcing, and IEEE conference on health informatics.