Dear all,

We are pleased to announce a new online course: Machine Learning for Drug Discovery, taking place 12–15 October.

This four-day course offers a practical introduction to computational approaches in drug discovery. Participants will learn to process molecular and -OMICs data, explore the drug development pipeline, and gain hands-on experience with graph neural networks (GNNs) and PyTorch.

Course content by day:

• Day 1: Introduction to drug discovery and machine learning fundamentals, including data setup, model design, and evaluation.

• Day 2: Deep learning and graph neural networks, with exercises on disease classification and target identification.

  • Day 3: GNNs for drug discovery and screening, focusing on molecular data processing and prediction interpretation.

  • Day 4: Using real-world datasets and programmatic access to public biological databases.

Schedule: Daily sessions 14:00–19:00 Berlin time, with lectures, guided practicals, and interactive discussions.

More information and registration: https://www.physalia-courses.org/courses-workshops/aifordrugdiscovery/

We look forward to welcoming participants from around the world!

Best regards,

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR