UC Berkeley researchers have created a new genomic language model, called GPN-Star, that excels at spotting genetic variants that impact human health.
UC Berkeley developed GPN-Star, a genomic model predicting pathogenic variants with 2,000x less compute than Evo 2, trainable in days. For tech leaders: curated domain models outperform massive foundation models on specific tasks while cutting infrastructure budgets.
UC Berkeley researchers have created a new genomic language model, called GPN-Star, that excels at spotting genetic variants that impact human health.
By Kara Manke
Like chatbots for DNA, genomic language models are trained on vast troves of DNA sequences.
Warren Umoh via. Unsplash+
September 9, 2026
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