SMART researchers develop quick test to determine immunity against Covid-19
Test that measures a person’s antibodies requires a drop of blood and takes just 10 minutes to show results.
Test that measures a person’s antibodies requires a drop of blood and takes just 10 minutes to show results.
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 interdisciplinary team is developing a mobile health platform that uses AI to detect infection in Cesarean section wounds.
Mel King Community Fellows from MIT's Community Innovators Lab meet in Berlin to examine the German elder care model.
In a recent MISTI course, students engaged on collaborative solutions to climate, health care, and economic development in the Middle East.
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.
MIT alumni-founded WalkWise uses a motion-detecting device for walkers to allow family members and care professionals to monitor adults with mobility challenges.
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.
Study: When adults gain access to Medicaid, they sign up their previously unenrolled kids, too — yet many more remain outside the system.
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
The PhD student seeks to improve patient care by helping facilities use their limited resources more effectively.
International award supports early-career scientists and engineers as they pursue interdisciplinary works.
Large study of existing research shows incremental improvement in patient outcomes and productivity, without big employment changes.
Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.