When genes are transcribed, they suppress or activate their neighbors, coupling expression between the two genes.

In almost every lab at the Institute, researchers are delving into AI. And the tools they’re developing and deploying have already turbocharged existing methods and opened new pathways to discovery.

MIT researchers leveraged a surprise discovery to devise a faster and more precise biomedical imaging technique.

Ultra-efficient chip design enables extremely strong cryptography algorithms to run on energy-constrained edge devices.

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

New MIT work advances the growing field of ionotronics, in which data are transferred through ions, potentially providing a bridge between electronics and biological tissue.

Long thought to be mainly a structural support, the cell membrane also influences how cells respond to signals and may contribute to the growth of cancer cells.

The devices represent a key step toward practical quantum sensing, with applications in biomedical sensing, materials characterization, and more.