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News: COURSE: AI for Drug Discovery – Machine Learning, Deep Learning and Graph Neural Networks | 12–15 October

Dear all,

We are pleased to announce a four-day online course on AI for Drug Discovery, taking place from 12–15 October.

Topics will include:

- Machine learning fundamentals and model evaluation
- Deep learning and its applications in drug discovery
- Graph neural networks for molecular analysis
- Hands-on work with PyTorch
- Machine learning with biological and -omics data
- Model interpretation and prediction explainability
- Working with real-world drug discovery data and biological databases

The course combines theoretical foundations with practical exercises and is designed to help participants move beyond standard tutorial datasets towards real research applications.

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

Please feel free to forward this announcement to colleagues or students who may be interested.

deeplearning ai cnns machinelearning drugdiscovery
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updated by Henry • Henry • written by Physalia-courses Physalia-courses

1 answer

This looks like a useful course for researchers or students who already have some basic ML knowledge and want to understand how these methods translate to actual drug discovery problems. I especially like that it includes GNNs, biological/omics data, and model explainability rather than focusing only on standard ML examples. The hands-on PyTorch component could also make it more practical for people who want to apply the concepts afterward. It would be helpful to know what level of Python/ML experience is expected beforehand, though, since that could make a big difference for beginners.

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written by Henry • Henry

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