| 演讲者 | Dr. Zhiyong Lu | | 头衔职位 | Deputy Director for Literature Search at NLM | | 时间 | 2019 年 6 月 17 日（星期一）10:00 | | 地点 | 复旦大学邯郸校区老逸夫楼 604 | | 承办单位 | 复旦大学上海市智能信息处理重点实验室
复旦大学计算机科学技术学院
| | 联系人 | 朱山风，zhusf@fudan.edu.cn |
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演讲简介
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: individual 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 present our work on developing large-scale, machine-learning based tools in Natural Language Processing (NLP) and Medical Imaging. Moreover, I will demonstrate their uses in some real-world applications such as improving PubMed searches, scaling up human curation for precision medicine, and enabling image-based autonomous disease diagnosis and prognosis.
关于讲者
Dr. Lu is the NCBI Deputy Director for Literature Search at the National Library of Medicine (NLM), National Institutes of Health (NIH), leading its overall efforts to improve search quality and usability in PubMed and other literature resources. He was selected by the NIH as its first Earl Stadtman Investigator in biomedical informatics and computational biology and is now a tenured Senior Investigator directing NCBI’s Text Mining Research Program. Over the years, his research group has developed a number of widely used software tools, such as PubTator, for mining and making sense of the scientific literature, EHRs, and medical images. Dr. Lu is an associate editor and editorial board member for a number of leading journals in the area of biomedical informatics. He is also an organizer of the international BioCreative text-mining challenge. Since 2004, Dr. Lu has (co-)authored over 180 publications with more than 11,000 citations.
