
Trends in Graph Machine Learning with Michael Bronstein - #446
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Revolutionizing Drug Discovery with AI
This chapter highlights advancements in predicting chemical properties of molecules using graph neural networks, focusing on their role in antibiotic discovery. It showcases a pioneering study from MIT that integrates computational predictions with laboratory testing to combat antibiotic resistance. Additionally, the chapter discusses breakthroughs in protein structure prediction with AlphaFold, emphasizing its impact on drug development and protein design.
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