The potential of AI to revolutionize drug discovery and manufacturing has kindled significant research efforts across industry and academia. By bringing together thought leaders in these fields, we aim to assess the current state-of-the-art and evaluate its real impact on drug discovery and manufacturing. The conference will present cutting-edge machine learning methods in this area, identify key opportunities for using these technologies in biotech, and discuss regulatory issues that these innovations bring. The expected audience will be academics, industry scientists, investors, regulators, government representative, postdocs and students. We plan to have this event to be very interactive, blending lectures, panels, and posters.
3-D structure modeling for chemical and biological applications
De novo molecular design and molecular optimization
Machine learning-assisted autonomous chemical and biological systems
Molecular property prediction and uncertainty analysis
Computer aided chemic synthesis planning (retrosynthesis and reaction prediction)
Machine learning in chemical and biological manufacturing
Machine learning-integrated quantum chemistry and molecular dynamics
Natural language processing of chemical and biological information
Areas of Focus
* Early bird tickets only available for a limited time!