Cambridge Healthtech Institute’s Inaugural

Artificial Intelligence for Early Drug Discovery
( 因应初期新药发现的人工智能 )

How to Best Use AI & Machine Learning for Identifying and Optimizing Compounds and Drug Combinations



This unique one-day symposium on Artificial Intelligence (AI) for Early Drug Discovery will bring together experts from chemistry, target discovery, DMPK and toxicology to talk about the increasing use of computational tools, AI models, machine learning algorithms and data mining in drug design and lead optimization. The symposium will feature some introductory level talks to bring attendees up-to-speed with how AI is being applied in drug discovery, which will be followed by talks introducing advanced concepts using relevant case studies and research findings.

Coverage will include, but is not limited to:

  • AI models for drug design, compound screening and prioritization
  • Machine learning and simulations to find and validate new drug candidates
  • AI-based predictions of chemical reactions and compound efficacy
  • Leveraging in silico tools and machine learning for ADMET predictions
  • In silico tools and models to improve compound safety
  • Developing algorithms to find new and better drug combinations for treatment
  • AI models for drug repositioning
  • Case studies highlighting AI partnerships for diverse applications
  • Understanding limitations and caveats when using AI/machine learning predictions

* 活动内容有可能不事先告知作更动及调整。