The "AI for Drug Discovery" workshop is dedicated to improving the understanding and exploring the transformative role of artificial intelligence (AI) in advancing drug discovery and development processes. Focused on leading-edge research and innovation, the workshop will feature research papers and posters that delve into key aspects of AI and machine learning applications within the pharmaceutical domain, in academia, or through joint industry-academia collaboration. The workshop seeks to facilitate in-depth discussions on the integration of AI technologies to enhance efficiency, accuracy, and speed in drug development, fostering collaboration among researchers, industry professionals, and experts in the field. The workshop aims to serve as a platform for researchers, industry professionals, and experts to investigate into the intricacies of these advanced methodologies, fostering dialogue and collaboration. Attendees can anticipate interactive discussions, presentations, and networking opportunities, gaining valuable insights into the forefront of AI-driven strategies shaping the future of drug discovery and development.
Scope
Artificial intelligence, encompassing statistical and computational machine learning, statistical causal inference, neural networks, convolutional neural networks (CNNs), and generative AI (e.g., Large Language Model, Diffusion Models, Late Fusion Models, etc), are all welcomed approaches. We include innovative AI methods as well as application of AI methods to the field of medicinal drug development.
topics
|
|
|
|
|
|
|
|
|
|
|
|
|
|
program format
Time |
Format |
Topic |
Speakers |
5 minutes |
Podium presentation |
Welcome address |
Katie Zhu |
20 Minutes |
Podium presentation |
Opening Keynote |
Jan Nygaard-Jensen |
20 minutes |
Podium presentation |
Overview of AI in Pharma |
James Cai |
60 minutes |
Research presentation |
Various research topics on using novel AI/ML methods |
Communication author of 3 to 4 accepted papers |
15 minutes |
Break |
Connect and collaborate |
N/A |
60 minutes |
Research presentation |
Various research topics on using novel AI/ML methods |
Communication author of 3 to 4 accepted papers |
30 minutes |
Interactive panel |
Q&A on AI for drug discovery topics |
Invited Informatics Leaders panelists (Jake Chen, Yves Lussier, James Cai) |
20 minutes |
Podium talk |
Closing Keynote |
Jake Chen |
Scientific Paper Program Committee
Hongyu Zhao, PhD
Mark Gerstein, PhD
Zhongming Zhao, PhD
Jake Chen, PhD
Nima Pouladi, MD, PhD