NVIDIA’s AI can now design genomes from scratch. This could change everything.
In collaboration with Arc Institute, Stanford, UC Berkeley, and UCSF, NVIDIA just helped build the largest AI model in biology, ?????? ??.
Trained on 9.3 trillion nucleotides from 128,000+ genomes, Evo 2 isn’t just analyzing DNA, it’s designing it:
? Designs entire genomes, as long as bacterial DNA
? Powers genetic engineering, enabling gene therapies that activate only in specific cells
? Open-source, with integration into ???????????? ?????????????? for research applications
?? This could transform medicine, drug discovery, and synthetic biology. Imagine AI-generated gene therapies that activate only in specific cells, minimizing side effects.
AI's role in genomics is transitioning from theoretical to practical applications. Evo 2, for example, has over 90% accuracy in predicting BRCA1 mutations, a major step in breast cancer research.
Beyond medicine, it could also engineer resilient crops, improving nutrition and sustainability—critical as we tackle food security challenges.
AI isn’t just learning from biology, it’s starting to rewrite the genetic code.
What are the implications of this? Exciting or concerning?
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For more on AI, please check my previous posts.
I share my journey here. Join me and let's grow together. Alex Wang
#AI #genomics #biotech #technology #opensource
