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AI·Digital Health
May 9 (Thu) 13:30~16:30, Rm.307
Session 4. AI-Based Drug Development: Beyond Collaboration, Towards Success
   During the J. P. Morgan Health Care Conference 2024 last January, there was a palpable anticipation of increased corporate partnership driven by the growing demand for AI technologies in new drug development. This surge in demand is expected to foster greater collaboration among companies. Factors contributing to this trend include: 1) the reduction cost and time associated with new drug development, 2) the expanding need for collaboration and partnerships, and 3) the impact of numerous drugs reaching patent expiration. Consequently, the global market for AI-based new drug development is projected to reach USD 4.9 billion by 2028.
    Session 4 will assess the status of AI-based new drug development in Korea, showcasing best practices and ongoing projects by various biotech companies. Additionally, the session will highlight global collaboration cases and examples of Korean collaborations in AI-based new drug development.
  • Session Chair
  • Sangsoo Kim Em Prof, School of Systems Biomedical Science, Soongsil University
  • AI Platform-Based Strategy for Acceleration of Drug Discovery
  • Woo Youn KimProfessor, Chemistry, KAIST
  • 13 : 30 ~ 14 : 05
  • Generative and Predictive AI in Drug Discover
  • Sang Ok SongChief Executive Officer, Standigm Inc.
  • 14 : 05 ~ 14 : 40
  • AI Drug Development Experience & Perspective: Case of Syntekabio
  • HeaKyoung ChoChief Strategy Officer, Business Development, Syntekabio
  • 14 : 40 ~ 15 : 15
  • Korea-Australia Partnership Leveraging Artificial Intelligence (AI) to Rapidly Advance New Therapies into the Clinic
  • Sudha RaoProfessor, QIMR Berghofer
  • 15 : 15 ~ 16 : 00
 
Pitching
16 : 00 ~ 16 : 30
 

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