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Futuristic capsule with interconnected brains and circuitry, symbolizing AI-driven drug discovery and innovation

The Future of Machine Learning in Drug Discovery


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The integration of artificial intelligence (AI) into drug discovery is reshaping the pharmaceutical landscape. Generative chemistry, leveraging deep learning models, offers unprecedented capabilities in designing novel compounds, expediting the path from concept to viable therapeutics. 


However, balancing these innovative approaches with traditional modeling techniques can be challenging. Thus, understanding the strengths and limitations of each method is crucial to making informed decisions.


This webinar explores the current state and potential of machine learning in drug discovery, providing clarity amidst the buzz surrounding AI integration.


Watch this webinar to explore:

  • Insights from industry experts on AI's role in drug discovery
  • Comparative analyses of deep learning models and traditional methods
  • Future trends and potential developments in generative chemistry
Speakers
A picture of Pat Walters, PhD
Pat Walters, PhD
Chief Data Officer
Relay Therapeutics
A picture of Greg Landrum, PhD
Greg Landrum, PhD
Senior Scientist
ETH Zürich
A picture of Peter Gedeck, PhD
Peter Gedeck, PhD
Cheminformatician and Data Scientist
Collaborative Drug Discovery
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