Section outline
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The module covers some recent and interesting development and research topics in the field of machine learning for healthcare. Topics choice is likely to vary at each edition.
Date Topic References Additional Material 22 16/05/2025
(16-18)Fundamentals of deep learning for graphs
learning with structured data, learning tasks on graphs, message-passing architectures, survey of foundational models for graphs, applications to healthcare and biochemistry.[SD] Chapter 13 Software
- PyTorch geometriclibrary
- Deep graph library
- Shepard: a graph-based system for rare disease diagnosis
Additional readings
[12] Recent tutorial paper20/05/2025 LECTURE CANCELED DUE TO GIRO D'ITALIA
L13 21/05/2025
(09-11)Lab tutorial: deep learning for graphs
L14/23 22/05/2025
(16-18)Final laboratory and lecture