Google DeepMind just launched AlphaGenome Atlas, a massive database predicting the regulatory impact of all 9 billion single-letter genetic changes in the human genome. It unifies coding and non-coding predictions into a single AVI score, allowing researchers to explore genomic variations through a no-code portal.
Google DeepMind and Isomorphic Labs just unveiled a joint bioresilience strategy to tackle biological threats and future outbreaks. Over the past year, they formed over 15 partnerships, deploying tools like AlphaFold, AlphaEvolve, and Isomorphic's drug design engine for pathogen surveillance and vaccine discovery. They are also adapting SynthID watermarking to screen AI-generated biological sequences. Why it matters: As frontier AI lowers the bar for biological modeling, tech giants are racing to build defenses before the risks outpace containment.
Google researchers just unveiled AlphaGenome in Nature, a unified DNA sequence model capable of taking 1 Mb inputs and predicting genomic regulation at single-base resolution across 11 modalities. It matched or outperformed top models in 25 of 26 variant effect benchmarks, taking under a second on an H100 GPU to decode the 98% of human DNA that doesn't code for proteins.
