The Future Technology in Biomedical Informatics
  • Jinwook Choi Ph.D
  • SLS Colloquia / March 28th 04:00 pm / Bldg.110 Room N104
Abstract

Information technology has brought lots of changes all over the world. Contrary to the previous industrial revolutions, the third digital one shows unique characteristics. The digital big wave divides the world into two groups of a wealthy technical group and the rest of the world. It changed the classroom, the house, and the hospital.

Hospitals in Korea has been a leading group in terms of hospital IT. In 1970s Korea started the very first implementation of hospital information system (HIS). The system has evolved to second generation and third generation. From 2000s most hospitals have started their fourth generation of HIS. The most prominent feature of the fourth generation is data-driven information system, which means all the care should be based on data and evaluation should be done using clinical data, and making data meaningful be the utmost goal in the digital revolution era.

My second talk is the recent activity of the medinfo lab (medinfo.snu.ac.kr). Recently we have worked on noncoding region GWAS bigdata. Finding causal SNPs in noncoding area is a nowadays emerging topics in Bioinformatics. In order to find causal SNPs in amyotrophic lateral sclerosis (ALS) we applied deep learning method to find causal SNPs and causal genes. We have used the biggest GWAS study on ALS published in Nature Genetics 2016 by Rheenen et. al. We defined 274 association blocks carrying the lowest P-value SNPs and nearing 30 SNPs. By applying deep learning technique we identified significant SNPs which shows high prediction score in the deep learning model. Through the promoter and enhancer data provided we finally find some genes which may play an important role in Amyotrophic Lateral Sclerosis.