A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

This discovery points toward new combination strategies against cancer, and may explain the iron buildup seen in disorders such as early-onset Parkinson’s disease.

Researchers explore how a key factor can mitigate or promote tuberculosis transmission.

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

A new, scalable technique could enable powerful radars and sensors based on quantum technology that works at room temperature.

DMAT is commercializing findings from the lab of Associate Professor Admir Masic to make concrete longer-lasting and more sustainable.