Despite the lack of concrete evidence in the field, MIT researchers placed a bet that their framework would work.

Scientists hypothesize that, as in a hibernating turtle, the brain under sedation and deprived of oxygen may assume a protective state.

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

The system measures biological and environmental changes, and detects contact between the mask and the wearer’s skin.

A system for monitoring motion and muscle engagement could aid the elderly and athletes during unsupervised physical rehabilitation for injuries or impaired mobility.

Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.

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.

An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.

The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.