Google DeepMind Launches AlphaGenome 2 for Enhanced Genomic Predictions

• •AlphaGenome 2 predicts gene changes in specific human cell types.
• •The model identifies nearly twice as many relevant gene variants as its predecessor.
• •It can infer missing data, aiding researchers in experimental design.

Google DeepMind has released AlphaGenome 2, an advanced AI model that predicts how genetic variants affect specific human cell types. This model improves upon its predecessor by identifying nearly twice as many relevant gene variants, trained on over 107 million individual cell profiles from 68 tissues. AlphaGenome 2 aims to provide a more detailed understanding of how DNA variations influence gene expression, potentially aiding in disease research and treatment development. The model can also infer missing data from single measurements, enhancing its utility for researchers. It has been tested on the TenK10K benchmark dataset, achieving significant accuracy in predicting causal variants. The model is now available for noncommercial research purposes.