Google Deepmind shifts genomics AI from bulk tissue predictions to single cell type resolution with AlphaGenome 2

Google DeepMind released AlphaGenome 2, a genomics AI model that analyzes genetic variants at individual cell-type resolution instead of across bulk tissue, trained on more than 107 million cell profiles. Google DeepMind says the model identifies nearly twice as many disease-relevant gene changes as its predecessor. AlphaGenome 2 is available for noncommercial research through an API and is set to be integrated into Google's agentic platform Antigravity.

Google Deepmind has unveiled AlphaGenome 2, an AI model that analyzes genetic variants for individual cell types rather than across bulk tissue. Trained on more than 107 million cell profiles, it identifies nearly twice as many disease-relevant gene changes as its predecessor. The model is available for noncommercial research through an API and is set to be integrated into Google's agentic platform Antigravity. The article Google Deepmind shifts genomics AI from bulk tissue predictions to single cell type resolution with AlphaGenome 2 https://the-decoder.com/google-deepmind-shifts-genomics-ai-from-bulk-tissue-predictions-to-single-cell-type-resolution-with-alphagenome-2/ appeared first on The Decoder https://the-decoder.com .