‘Energetic’ materials are ones that readily ignite or detonate. The shapes of those materials have a big effect on how they burn or blow up.

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.

The sticky, wearable sensor could help identify early signs of acute liver failure.

Awarded $65.67 million from ARPA-H, the researchers will work to develop ingestible capsules that deliver mRNA and electric stimuli to treat metabolic disorders such as diabetes.

High-speed experiments can help identify lightweight, protective “metamaterials” for spacecraft, vehicles, helmets, or other objects.

Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.

A system designed at MIT could allow sensors to operate in remote settings, without batteries.

Collaborative hub founded by philanthropist Lisa Yang will catalyze academic innovation and result in real-world, global impact.

MIT researchers can now track a cell’s RNA expression to investigate long-term processes like cancer progression or embryonic development.