Implantable islet cells could control diabetes without insulin injections
The cells can survive in the body for at least three months, producing enough insulin to control blood sugar levels, research shows.
The cells can survive in the body for at least three months, producing enough insulin to control blood sugar levels, research shows.
A backup survival pathway can help tumor cells resist certain lung cancer and other drugs. Combining therapies may offer a solution.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
Sophia Henneberg, assistant professor in the Department of Nuclear Science and Engineering, is developing stellarators to harness fusion energy.
MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.
New insights into metallic cracks that harm battery performance could advance the longstanding quest to develop energy-dense solid-state batteries.
The Institute also ranks second in seven subject areas.
By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.
This award-winning startup with roots at the MIT Energy Initiative is developing lightweight, flexible, high-efficiency solar energy films designed to be used on roofs, walls, and any curved surface.
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
The portable “ChromoLCD” device combines LCD and LED lighting to customize high-quality designs onto things like shirts and whiteboards.
Participants learn how laser “fingerprinting” can help identify materials in fields ranging from law enforcement to art restoration.
SMART breakthrough offers a promising pathway toward improved manufacturing of high‑quality cells for regenerative therapies to treat joint diseases.
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.