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Accelerating drug discovery with AI: Insights from Isomorphic Labs

In this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen join our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning. 🎙 Listen on Apple Podcasts: http://wandb.me/apple-podcasts 🎙 Listen on Spotify: http://wandb.me/spotify With backgrounds in advanced AI research at DeepMind, Max and Sergei offer their unique insights into the challenges and successes of applying AI in a complex field like biotechnology. They share their journey at Isomorphic Labs, a company dedicated to revolutionizing drug discovery with AI. In this episode, they discuss the transformative impact of deep learning on the drug development process and Isomorphic Labs' strategy to innovate from molecular design to clinical trials. You’ll come away with valuable insights into the challenges of applying AI in biotech, the role of AI in streamlining the drug discovery pipeline, and peer into the future of AI-driven solutions in healthcare. ✅ Subscribe to Weights & Biases → https://bit.ly/45BCkYz ⏳Timestamps: 00:00 Episode introduction and guest overview 05:42 Max's transition from DeepMind to Isomorphic Labs 12:37 Sergei's tech background and move to healthcare 18:54 Early challenges at Isomorphic Labs 25:58 Integrating AI into drug discovery 32:16 Impact of machine learning on drug design 39:07 Introducing AI to drug discovery teams 47:29 AI's role in predicting drug effects 54:55 Future prospects of AI in biotech 01:01:00 AI ethics in healthcare 01:05:00 Broader AI applications in healthcare 01:09:00 Reflections on AI's impact on medicine & wrap-up 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Sergei Yakneen & Max Jaderberg:   / maxjaderberg     / yakneensergei     / sergeiiakhnin     / maxjaderberg   Follow Weights & Biases:   / weights_biases     / wandb  

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