题目：lookingfor disease diagnostic models from large-scalebiomedical data（《通过生物医学大数据建立疾病诊断模型》）
时间：2017年6月13日（周二）9：00-11：00
地点：西校区理学楼404
报告人：吴浩，1996年获清华大学电机系学士，2010年获约翰霍普金斯大学生物统计学博士。自2010年至今在emory大学生物统计和生物信息学系任职，现为副教授（终身教职）。吴博士的主要科研方向为高通量基因组数据（包括基因芯片和rna-seq, chip-seq, bs-seq等二代测序数据）的统计方法和计算工具的开发。吴博士作为第一或通讯作者在国际顶级刊物上发表过多篇论文，包括nature method, genome research, genome biology, nucleic acidsresearch, bioinformatics, biostatistics等。现论文共56篇，总引用量5500多次。
abstract
the rapid developments ofbio-technologies and computational methods have evolutionarized the biomedicalresearch.theenormous amount of data generated from various high-throughput technologiesprovide unprecedented opportunities for advancing medical practice, however, tomake better sense of the data requires the development of novel statistical/computationalmethods.
inthis talk, i will briefly introduce two on-going projects in my research groupon constructing disease diagnostic models from large-scale biomedical data. thefirst one is using cell-free dna methylation profile for disease prediction;the second one is the development of a cadx (computer-aided diagnosis) systemfor vogt-koyanagi-harada (vkh) disease based on retina image.
