Dear all,
We are pleased to announce our upcoming online course: AI in Drug Discovery
Dates: 12–15 October Online | 2:00–7:00 PM (Berlin time)
Course website: https://www.physalia-courses.org/courses-workshops/aifordrugdiscovery/
AI is revolutionizing drug discovery, from target identification to molecular screening and therapeutic development. This four-day course provides a practical introduction to machine learning and deep learning methods used throughout the drug discovery pipeline.
Participants will learn:
• Fundamentals of machine learning and deep learning
• Applications of AI in drug discovery
• How to build models using Python and PyTorch
• Graph Neural Networks (GNNs) for molecular analysis
• How to work with real-world biological and chemical datasets
• Strategies for accessing and integrating drug-discovery data sources
If you are interested in applying AI to biomedical research and drug development, this course offers an excellent opportunity to gain both conceptual understanding and practical skills.
Best regards,
Carlo
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
1 answer
The combination of the theory with actual biological and chemical datasets is what makes this more interesting than a typical introductory ML course. GNNs and PyTorch are particularly useful areas to cover if the goal is to move from basic ML concepts toward molecular applications. I’d be interested to know how much prior Python or machine learning experience participants are expected to have, though. For someone coming from a biology or chemistry background with limited coding experience, that could make a big difference in how approachable the practical sessions are.
Log in to answer this question.