Core-shell structures made of hydrogel could enable more efficient uptake in the body.

The work demonstrates control over key properties leading to better performance.

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

Passionate about materials science “from the atom to the system,” Elsa Olivetti brings a holistic approach to sustainability to her teaching, research, and coalition-building.

MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.

The new sensor measures heart and breathing rate from patients with sleep apnea and could also be used to monitor people at risk of opioid overdose.

MIT researchers who share their data recognized at second annual awards celebration.

MIT study suggests 3D folding of the genome is key to cells’ ability to store and pass on “memories” of which genes they should express.

The wearable device, designed to monitor bladder and kidney health, could be adapted for earlier diagnosis of cancers deep within the body.

With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.