Google DeepMind Unveils AlphaGenome 2 to Predict Cellular Effects of DNA Mutations
Google DeepMind has launched AlphaGenome 2, an advanced AI model designed to predict how genetic variants affect specific cell types and biological states. Building on its predecessor, the new model was trained on over 100 million individual cell profiles across 68 different tissues, allowing it to provide a much more granular view of human genetics than previous models. The technology aims to bridge the gap between large-scale genetic data and cellular biology, potentially accelerating drug discovery by identifying how mutations impact specific proteins and cells. By turning static cell atlases into predictive engines, AlphaGenome 2 can identify twice as many gene-expression-altering variants and even predict outcomes for new cell types without retraining.
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Topics: AI in healthcare Deep Learning Drug Discovery Genomics
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Part of the story Google DeepMind Unveils AlphaGenome 2 to Predict Cellular Effects of DNA Mutations (2 articles)