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Sean McClain, Founder and CEO of Absci, and Mark Papermaster step into the world of drug discovery, where processes are incredibly time consuming, costly and complex.
00:00-00:13 Series Overview
00:14-00:20 On This Episode Description
00:21-00:55 Intro to Guest Sean McClaine
00:56-03:48 The Drug Discovery Process Explained
03:49-06:05 Impetus for Absci: Scaling Drug Functionality
06:06-06:39 Complex Drug Permutation Simplified
06:40-08:26 AI Accelerates the Wet Lab Loop
08:27-13:54 Groundbreaking Biology Enabled by AI
13:55-16:59 High Memory is Critical in Model Training
17:00-17:38 Accurate Models Improve Drug Discovery Success
17:39-18:35 Lower Cost and Time Investments Required
18:36-20:15 How Does Technology Disrupt Biological Research?
20:16–21:31 How Models are Trained with Various Data
21:32-23:42 Enhancing Compute Efficiency Boosts Scalability
23:43–25:20 Ten-Year Vision for AI & Biology Intersection
25:21–26:29 A Future of Personalized Drug Discovery
26:30–27:17 Key Takeaways
27:18–27:59 Series Closing
View more episodes: https://www.youtube.com/playlist?list=PLx15eYqzJiffUsiIhsSM_q-ukoW5_3YJ1
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