행 사 명 | AI Pharma Korea Conference 2019 |
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일시 및 장소 | 2019년 11월 7일(목) 9:00~16:20, 르메르디앙서울, 다빈치볼룸(LL) |
주최 | |
주관 | |
후원 | |
발표업체 |
시 간 | 내 용 | 발표자 |
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09:00~10:00 | 기자간담회 | |
09:00~10:00 | 등록 | |
10:00~10:15 | 개회사 및 축사 | |
“Applying AI to Drug Discovery, now and future” | ||
Session 1 : Current status and Future direction |
Chair: Dongho Lee, M.D., Ph.D
(President of Korea AI center for Drug discovery and development at KPBMA) |
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10:15∼10:45 | Harnessing Applied AI and Analytics to reshape drug development | AstraZeneca Mishal Patel (Senior Director & Head of Health Informatics) |
10:45∼11:15 | Decentralized Drug Development - Accelerating Time to Market in Data-Driven Marketplaces |
Molecule Protocol Paul Kohlhaas (Founder & CEO) |
11:15∼11:45 | Opinion on the AI-based New Drug Development from the IT Guy Perspective | SK holdings Seonee Nam (General Manager/SK Healthcare group) |
11:45∼13:00 | Luncheon | |
Session 2 : Beyond traditional computational approach | Chair: Dongsup Kim, Ph.D (Department of Bio and Brain Engineering, KAIST) | |
13:00∼13:30 | Artificial Intelligence in Drug Design - Opportunities and Pitfalls | University of Cambridge Andreas Bender (Group leader for Data-Driven Drug Discovery at the Centre for Molecular Informatics) |
13:30∼14:00 | Accelerating Drug Discovery with Advanced Computational Modeling and Deep Learning | Schrödinger Byungchan Kim (Principal scientist) |
14:00∼14:30 | Deep generative autopilot for the real-world design of novel lead compounds | Standigm Sangok Song (Chief Transformation Officer & Cofounder) |
14:30∼14:50 | Break time | |
Session 3 : The Practical Impact of AI in Drug Discovery So Far | Chair: Jaewoo Kang, Ph.D (Department of Computer Science and Engineering/Korea University) | |
14:50∼15:20 | How AI can Design Multi-Targeted Drug-Like Molecules | Cyclica Naheed Kurji (CEO) |
15:20∼15:50 | Computational Drug Design Engine SCULPTTM meets AI - Powerful Drug Discovery Engine for Hard to Drug Targets |
A2A Pharmaceuticals Chaemin Lim (CSO/Chief Scientific Officer) |
15:50∼16:20 | AI-based early stage drug discovery: from hit to lead |
KAIST Woo Youn Kim (Professor, Department of Chemistry) |
16:20 | 폐회 |