On a foggy Saturday morning in 1953, a tall, skinny 24-year-old man fiddled with shapes he had cut out of cardboard. They represented fragments of a DNA molecule, and young James Watson was trying to ...

A trio of research papers from Stanford Medicine researchers and their international collaborators transforms scientists' understanding of how small DNA circles—until recently dismissed as ...

From the what-could-possibly-go-wrong department: Scientists have now managed to write executable code into DNA that is theoretically capable of infecting the computer that reads it. It was only a ...

Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?

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

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 ...

On a foggy Saturday morning in 1953, a tall, skinny 24-year-old man fiddled with shapes he had cut out of cardboard. They represented fragments of a DNA molecule, and young James Watson was trying to ...

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 ...

Figure 2. Diagrammatic representation of kodikaz therapeutic solutions’ zip-code technology application to various human diseases. The complex interplay between extracellular genetic material and the ...