How a Tiny DNA-Reading AI Beat Models a Thousand Times Its Size
UC Berkeley's GPN-Star, a genomic language model published in Nature, predicts harmful DNA variants better than far larger AI models, and trains in hours not months.
Protein Language Models Just Learned to Think in 3D
A new bioRxiv preprint, Prot-LAMBDA, teaches protein language models explicit 3D geometry and reportedly matches a model five times its size. Why efficiency, not scale, is the real story.
A Nobel Laureate's AI Just Tried to Simulate a Whole Human Cell
GenBio AI's AIDO Cell is a 'world model' that simulates a human cell across scales, from DNA to shape. Here's what it does, why it matters, and what still needs proving.
How a Protein Language Model Is Reading the Gut's Enzyme Dark Matter
A new Science Advances study uses a protein language model to annotate enzyme 'dark matter' in the gut microbiome, mapping metabolism in health and inflammatory bowel disease.
Evolution as Training Data: How Biohub's Open Protein World Model Is Rewiring Drug Discovery
Biohub's open-source ESM models learned the rules of protein biology from evolution alone — and designed working drug binders in days. Here's what the release means, and where it falls short.
AI Foundation Model Maps Cancer Tissue: VirTues
VirTues, a new foundation model published in Nature, learns one shared representation of spatial proteomics data across marker panels and imaging platforms—and finds biomarkers that predict immunotherapy response.