題目：Lookingfor disease diagnostic models from large-scalebiomedical data（《通過(guò)生物醫學(xué)大數據建立疾病診斷模型》）

時(shí)間：2017年6月13日（周二）9：00-11：00

地點(diǎn)：西校區理學(xué)樓404

報告人：吳浩，1996年獲清華大學(xué)電機系學(xué)士，2010年獲約翰霍普金斯大學(xué)生物統計學(xué)博士。自2010年至今在Emory大學(xué)生物統計和生物信息學(xué)系任職，現為副教授（終身教職）。吳博士的主要科研方向為高通量基因組數據（包括基因芯片和RNA-seq, ChIP-seq, BS-seq等二代測序數據）的統計方法和計算工具的開(kāi)發(fā)。吳博士作為第一或通訊作者在國際頂級刊物上發(fā)表過(guò)多篇論文，包括Nature Method, Genome Research, Genome Biology, Nucleic AcidsResearch, Bioinformatics, Biostatistics等。現論文共56篇，總引用量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.