A new Jell-O-like material could replace metals as electrical interfaces for pacemakers, cochlear implants, and other electronic implants.

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

Tactile stimulation improved motor performance, reduced phosphorylated tau, preserved neurons and synapses, and reduced DNA damage, a new study shows.

The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.

Fifteen principal investigators from across MIT will conduct early work to solve issues ranging from water contamination to aquaculture monitoring and management.

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.

MIT engineers’ new technique analyzes the 3D organization of the genome at a resolution 100 times higher than before.

Using this approach, researchers hope to deliver therapeutic RNA molecules selectively to cancer cells or other target cells.

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-Cov-2 strains.

Developed at SMART, the nondestructive nanosensors could have wide applications in agricultural science.