The AI in Business Podcast
Breaking Down AI’s Role in Genomics and Polygenic Risk Prediction - with Dan Elton of the National Human Genome Research Institute
Apr 1, 2025
Dan Elton, a Staff Scientist at the National Human Genome Research Institute, dives into the fascinating interplay between AI and genomics. He discusses AlphaFold, which accurately predicts protein structures, revolutionizing drug development. Elton also explores how machine learning enhances polygenic risk prediction, allowing for improved disease risk assessment based on genetic markers. Additionally, he touches on AI's role in gene editing and the data challenges faced in managing sensitive genetic information, paving the way for future advances in personalized healthcare.
20:03
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Quick takeaways
- AI, particularly through DeepMind's AlphaFold, is revolutionizing protein engineering and drug development by accurately predicting protein structures.
- The integration of AI into polygenic risk prediction is enhancing disease risk assessment based on genetic markers, although challenges in data and computation remain.
Deep dives
Revolutionizing Protein Engineering
AI is significantly transforming protein engineering and drug development, with tools like AlphaFold from DeepMind leading the way in predicting protein structures. This model achieves unprecedented accuracy in understanding protein folding, which is crucial for various biological applications and has the potential to fuel new medical breakthroughs. The relevance of AlphaFold extends beyond theoretical biology, impacting practical areas such as drug design and protein engineering. By facilitating an understanding of how proteins fold, it opens up new avenues for innovative therapeutic solutions.
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