MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

A RAND study found that the newest AI models can design lab-ready DNA sequences and generate workable protocols, successfully ...

MIT’s AI system boosts precision protein drug production, cutting development costs by learning the “language” of genetic sequences.

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...

Researchers are queuing up to try a powerful microscopy technique that can simultaneously sequence an individual cell’s DNA and pinpoint the location of its proteins with high resolution — all without ...

DNA sequencing is one of today's most critical scientific fields, powering leaps in humanity's understanding of genetic causes of cancer, neurodegenerative diseases, and diabetes. One issue facing the ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

A new deep-learning AI model may help scientists better decipher the plot of the genetic instruction book and learn how typos alter the story. AlphaGenome, created by Google DeepMind, is the latest in ...