

Accelerating drug discovery with AI: Insights from Isomorphic Labs
25 snips Apr 25, 2024
Max Jaderberg and Sergei Yakneen from Isomorphic Labs discuss AI in drug discovery, focusing on deep learning advancements, evolving AI models for drug design, input granularity in NLP and biology data, overlaps in material science and biology, the role of diverse datasets in AI-driven drug discovery, and machine learning applications in neuroscience.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Introduction
00:00 • 3min
Evolution of AI in Drug Design
02:31 • 17min
Navigating Input Granularity in NLP and Biology Data
19:18 • 12min
Exploring Overlaps Between Material Science, Biology, and Open Source in AI Research
30:51 • 2min
Exploring the Role of Data in AI-driven Drug Discovery
32:53 • 2min
Navigating the Drug Design Pipeline
35:12 • 12min
AI in Drug Discovery: Enhancing Molecule Development
46:55 • 18min
Exploring Machine Learning in Neuroscience
01:04:43 • 6min