Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.

Known as PASTE, the technique holds potential for treating a variety of diseases caused by faulty genes.

By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.

At an exhibition marking two decades since a transformative gift from the Picower Foundation, current and alumni members described research at the forefront of neuroscience and beyond.

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.

By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.

A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.

Developed by the Singapore-MIT Alliance for Research and Technology, the assay can provide new details about the type of SARS-CoV-2 circulating in a community.

The paper test measures the level of neutralizing antibodies in a blood sample and could help people decide what protections they should take against infection.

With particles that release their payloads at different times, one injection could provide multiple vaccine doses.