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Google DeepMind Announces AlphaGenome 2 for Cell-Specific DNA Variant Prediction

Google DeepMindFrom the source·· 1 day agoPicksAlphaGenome 2: Deciphering how cells read DNA to better understand disease
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Image: Google DeepMind
Who
Google DeepMind
What
unveils AlphaGenome 2, an AI model that predicts genetic variant effects across individual cell types and states

What happened

Google DeepMind announced AlphaGenome 2, a DNA sequence model that predicts how genetic variants affect specific human cell types and states. Trained on more than 107 million individual cell profiles, it reported nearly twice as many causal variant identifications as the original AlphaGenome on the TenK10K dataset. It is available for non-commercial research through the AlphaGenome API, with commercial research access in private preview.

Why it matters

AlphaGenome 2 conditions DNA predictions on specific cell types and states, with reported results on immune-cell variants and unseen cell states that show how this design connects genetic signals to cellular context.

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See the full storyGoogle DeepMind Releases AlphaGenome 2 for Cell-Specific Genetic Research

Reported by 6 sources

    The story so far

    Google DeepMind has released AlphaGenome 2, a model that predicts how DNA variants affect specific human cell types and states. The model is available through the AlphaGenome API for non-commercial research, while commercial research access is in a closed private preview. Google says it is intended for research and has not been validated or approved for clinical or diagnostic use. Google says AlphaGenome 2 was trained on more than 107 million cell profiles. On the TenK10K benchmark, it identified nearly twice as many causal variants as the original AlphaGenome; The Decoder reports about 30 percent for AlphaGenome 2 versus 16 percent for a fine-tuned AlphaGenome 1.

    This story is in 11/12 AI Daily · Lead storyRead the whole issue