The soft robotic models are patient-specific and could help clinicians zero in on the best implant for an individual.

A new computational framework could help researchers design granular hydrogels to repair or replace diseased tissues.

Using these engineered proteins, researchers can record histories that reveal when certain genes are activated or how cells respond to a drug.

Using this approach, researchers can map how light spreads in opaque environments.

The new design works with the diaphragm to improve breathing.

Harnessing these protective molecules may offer a new way to treat the disease, which spreads through contaminated water.

Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.

Researchers have developed a technique that could help fine-tune the production of monoclonal antibodies and other useful proteins.

With NEET, Sherry Nyeo is discovering MIT’s undergraduate research community at the intersection of computer science and biological engineering.

A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.