A boost for the precision of genome editing
Researchers develop a fast-acting, cell-permeable protein system to control CRISPR-Cas9, reducing off-target effects and advancing gene therapy.
Researchers develop a fast-acting, cell-permeable protein system to control CRISPR-Cas9, reducing off-target effects and advancing gene therapy.
The MRL helps bring together academia, government, and industry to accelerate innovation in sustainability, energy, and advanced materials.
The ultrabroadband infrared frequency comb could be used for chemical detection in portable spectrometers or high-resolution remote sensors.
Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
You can adjust the frequency range of this durable, inexpensive antenna by squeezing or stretching its structure.
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Scientists have discovered a link between the material’s pore size distribution and its ability to withstand radiation.
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
As large language models increasingly dominate our everyday lives, new systems for checking their reliability are more important than ever.
New microparticles containing iron or iodine could be used to fortify food and beverages, to help fight malnutrition.
Lab experiments show “ionic liquids” can form through common planetary processes and might be capable of supporting life even on waterless planets.
New research can identify opportunities to drive down the cost of renewable energy systems, batteries, and many other technologies.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.