AlphaGenome 2 identifies disease-linked DNA variants
Google DeepMind: AlphaGenome 2: Deciphering how cells read DNA to better understand disease
Predicting how DNA sequences and their variations impact specific human cell types and disease.
AlphaGenome 2 is a machine learning model that predicts how DNA sequences and their variations affect specific human cell types. Every cell in the body carries the same DNA blueprint but switches different genes on and off depending on its type and function, yet predicting how DNA variations influence this process in individual cells has remained unsolved. This model matters because it identifies disease-relevant genetic variants that would be missed by tools looking at broad tissue averages, potentially helping researchers uncover cellular drivers of disease. The model was trained on over 100 million individual cell profiles across 68 tissues and identifies nearly twice as many variants that change gene expression compared to its predecessor.
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Also reported by The Verge, SiliconANGLE and MarkTechPost
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Gemini 4 Carbon is now available
The latest version aims to deliver improved performance while reducing the computational resources and energy required for AI operations.
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Also reported by SiliconANGLE
Introducing AlphaProof Code: a breakthrough in verifying complex software at depth
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