Drug discovery pipelines are notorious for being costly, slow, and failure-prone, leading to AI and machine learning becoming more commonplace to accelerate progress and improve outcomes. Currently, ...

The integration of machine learning into proteomics has fundamentally shifted how researchers approach the analysis of complex biological systems. As mass spectrometry (MS) and other high-throughput ...

Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...