Watch · DeepMind's research
AlphaGenome 2: Teaching AI to read the entire human genome
The Brief
- Discusses AlphaGenome, the AlphaGenome Atlas, and AlphaGenome 2, Google DeepMind's AI models for reading non-coding human DNA.
- Covers how the models work at single-cell resolution to pinpoint disease-causing mutations.
- Includes a segment on rare disease cases and a discussion of future directions.
- Presented by Professor Hannah Fry with DeepMind researchers Žiga Avsec and Adam Gayoso.
Why watch · It explains how AI is being applied to the roughly 98% of human DNA that does not code for proteins, with the aim of understanding disease mechanisms.
- AlphaGenome
- non-coding DNA
- genomics AI
- rare disease
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98% of human DNA doesn't build proteins—it controls how our cells work, and holds vital clues to why diseases happen and why 90% of new drugs fail in clinical trials. Understanding the genome at the molecular level is the key to deciphering the blueprint of human life. In this episode, Professor Hannah Fry speaks with Google DeepMind's Žiga Avsec and Adam Gayoso about AlphaGenome, the AlphaGenome Atlas, and AlphaGenome 2—exploring how AI reads non-coding DNA down to single-cell resolution to pinpoint disease-causing mutations and help researchers solve medical mysteries. Timecodes: 00:00 Introduction to AlphaGenome 04:01 Genotype, Phenotype & DNA 08:30 Transformers to AlphaGenome 12:11 Mapping the Genome 17:45 Rare disease cases 21:10 AlphaGenome 2 30:06 Future vision 38:45 Hannah's thoughts Read more about AlphaGenome 2: https://deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease/ ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://x.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on LinkedIn: https://www.linkedin.com/company/deepmind/