
DeepMind unveils AlphaGenome 2 for cell-level genetic variant effects
Trained on more than 100 million cell profiles, it is available today for non-commercial research through the AlphaGenome API.
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Trained on more than 100 million cell profiles, it is available today for non-commercial research through the AlphaGenome API.

GPT-Rosalind-6 improves biological data analysis with 37.7% single-attempt success on GeneBench Pro v13.

The announcement frames Carbon-X as an open model that jointly handles DNA sequences and natural language.
The open chat model, started from Qwen3-14B, reports 66.7% on five DNA benchmarks with thinking disabled.

AI startup Basecamp Research raised $140M from Nvidia and Anthropic to train biological AI models on massive novel genetic datasets for drug discovery.
Researchers release ERCPMP-Gx, a 160-image endoscopic dataset linking colorectal polyposis imagery with histopathology and germline findings for AI development.

Google's AlphaGenome AI system predicts functional effects of non-coding DNA variants in humans and mice.

DeepMind's AlphaGenome Atlas precomputes impact predictions for ~9 billion human DNA variants in a 1-petabyte dataset; its AVI score beats CADD in benchmarks

Google DeepMind launched AlphaGenome Atlas, precomputing molecular effect predictions and AVI impact scores for ~9 billion human single-nucleotide variants in a 1-petabyte catalogue.

Google DeepMind released AlphaGenome Atlas, a 1-petabyte database pre-computing effects of all 9 billion single-nucleotide variants in the human genome, with a unified AVI score.

Google DeepMind launches AlphaGenome Atlas, a catalog of predicted molecular effects for roughly nine billion single-letter DNA changes across the human genome.
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