报告题目：PAtient Like My gEnome (PALME)
报告人：蒋晓谦 博士
报告时间：2016年6月22日(星期三)下午16:00-17:00
报告地点：det365官方网站登录副203会议室
报告人简介：
蒋晓谦，男，加州大学圣地亚哥分校助理教授，美国卡内基梅隆大学博士。美国BMC医疗信息和决策支持（BMC Medical Informatics and Deicision Making)杂志副主编，癌症信息（Cancer Informatics)杂志特刊主编，美国医疗信息协会杂志（Journal of the American Medical Informatics Association: JAMIA）编辑，第二第三届基因隐私大会GenoPri主席，第一第二届iDASH基因安全计算大赛组织者，美国计算机协会（ACM）会员，美国医疗信息协会（AMIA）会员。主要研究方向：医疗生物信息隐私，机器学习，临床大数据处理等。在国际会议特邀报告28次，论文报告超过50次。他先后在国内外学术期刊和会议发表学术论文超过100篇，其中包括Machine Learning journal, Transactions on Data Privacy, Journal of the American Medical Informatics Association, Bioinformatics等领域内主要杂志，以及ECML，ICML等机器学习领域顶级会议。Google Scholar论文引用1000次。除此之外，他被特约审稿140多次，申请了3项美国发明专利，其中已经授权2项。他也是中国第十批国家青年人才项目获得者。
报告简介：
In this talk, I will introduce Patients Like My gEnome (PALME) is a webservice that matches patients based on their genome and healthcare profiles. We support two types of inputs: (1) dual query (a variant + phenotype), and (2) genome sequences. For the first type of queries, we will show the patient profile matching the inputs. For the second type of queries, we will calculate similarity (based on Hamming distance) and show the distribution of phenotypes of similar patients given the input sequences of a target patient. Using the publicly available Personal Genome Project (PGP) dataset, we retrieved 4,360 patients’ profiles along with their genome data, medical conditions, and treatments. We used a subset of these profiles to build PALME to be an interactive system to support healthcare profile matching. PALME is designed not only for biomedical researchers to support their studies on human genome but also for individuals to explore their own genetics and health.
信息学院
2016年6月20日