Programs

Opening

program
   08:30 - Registration  
09:00 - 09:05 Opening Remarks Kun-Ho Yoon (The Catholic University)
09:05 - 09:10 Congratulatory Addresses Kyoung Ho PARK (The Catholic University)


PART 1. USA PMI BIG DATA



WebinarModerator : Seong K. Mun
program
09:20 - 09:55 Text Mining for Precision Medicine Cathy Wu (University of Delaware,USA)
09:55 - 10:30 Application of AI for Diabetes Management Jianying Hu (IBM, USA)

Plenary Session
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10:30 - 11:05 Super Quantitative-Identical Convolutional Neural Networks (SQI-CNN) Systems for
Transformed Inputs with the Same Label
ShihChung Benedict Lo
(Virginia Tech (Arlington Innovation Center))
11:05 - 11:30 Strategy for AI Research:
Lessons Learned from Radiology
Seong K. Mun (Virginia Tech & OSHERA, USA)
11:30 - 13:00   Lunch



PART 2. KOREA BIG DATA IN MEDICINE



Plenary Session
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13:00 - 13:30 Data Platform, Data Network Seongtak Oh (NIA)
13:30 - 14:00 Catholic Big Data Network Center Dai Jin Kim (The Catholic University)
14:00 - 14:10 Q&A


Session1. Personalized Medicine and Artificial IntelligenceModerator : Tae Min Kim
program
14:10 - 14:35 What kind of big data do we need to realize precision oncology? Soon Myung Paik (Yonsei University)
14:35 - 15:00 Characterizing cellular mechanisms
underlying phenotypes using AI and
network technologies
Sun Kim (Seoul National University)
15:00 - 15:25 Personal and Private Big Data:
Genomes and Health Records
Ju Han Kim (Seoul National University)
15:20 - 15:40   Coffee Break



Plenary Session
program
15:40 - 16:10 Frontiers in Brain Engineering Jaeseung Jeong (KAIST)


Session2. Real Word Evidence Platform & Digital Health careModerator : Hun-Sung Kim
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16:10 - 16:35 Health outcome studies using
real world data
Seung-Hwan Lee (The Catholic University)
16:35 - 17:00 Open Big Data Platform for
Clinical Research
In Young Choi (The Catholic University)
17:00 - 17:25 Patient-Generated Health Data from
Digital Healthcare
Hun-Sung Kim (The Catholic University)
17:25- 17:40 Q&A
17:40 Closing remarks



프로그램 안내

program
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· 사전등록은 의료정보학교실 웹사이트 내 사전등록 페이지를 통해서 가능합니다.

· 사전등록 마감일은 2018년 11월 26일(월)입니다.