A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.

The anomaly-detection model developed by SMART utilizes machine learning to detect microbial contamination within a few minutes.

Rapid and accurate analytical test method enhances the production of high-quality cell therapy products.

MIT neuroscientists expand CRISPR toolkit with new, compact Cas7-11 enzyme.

Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.

A screening method developed by MIT researchers targets hydrogen peroxide in the search for new cancer therapeutics.

Prosthetic enables a wide range of daily activities, such as zipping a suitcase, shaking hands, and petting a cat.

The patch, which can be folded around surgical tools, may someday be used in robotic surgery to repair tissues and organs.

MIT researchers grow structures made of wood-like plant cells in a lab, hinting at the possibility of more efficient biomaterials production.

The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.