Laser-based system achieves noncontact medical ultrasound imaging
Noncontact Laser Ultrasound offers capabilities comparable to those of MRI and CT but at vastly lower cost, in an automated and portable platform.
Noncontact Laser Ultrasound offers capabilities comparable to those of MRI and CT but at vastly lower cost, in an automated and portable platform.
The effort aims to transform micronutrient dosing to children by harnessing the power of data.
MIT researchers investigate the causes of health care disparities among underrepresented groups.
The new device, which can be incorporated into a bra, could allow more frequent monitoring of patients at high risk for breast cancer.
In her latest book, “We’ve Got You Covered,” Amy Finkelstein prescribes a complete overhaul of our health insurance system.
An MIT anthropology course encourages students to envision more equitable device design.
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.
The Priscilla King Gray Public Service Center's IDEAS program empowers teams partnering with communities to tackle a range of social challenges.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
The MIT D-Lab-supported startup SurgiBox has developed a portable kit that doctors can use to create sterile operating environments where they’re needed most.
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
Over 300 social impact leaders from around the world convened on MIT’s campus to discuss global challenges and how to solve them together.
The illustrious prize supports early-career scientists and engineers as they pursue interdisciplinary work.
A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.