The National Institutes of Health has awarded three new contracts totaling $36.7 million for the development of new COVID-19 diagnostic testing technologies and production of specimen collection kits and swabs. The Rapid Acceleration of Diagnostics (RADx) initiative has advanced the scale-up of 25 testing projects since July 2020, which now include lab-based, point-of-care, and potential at-home formats.
Science Highlights · January 12, 2021
Science Highlights · December 28, 2020
Research into what is known as the gut-brain axis continues to reveal how the brain and gut influence each other’s health and well-being. Now researchers are endeavoring to learn more about gut-brain discourse using a model system built in a lab dish.
Science Highlights · December 8, 2020
Every year thousands of Americans, mostly over age 75, require replacement of their aortic valve. Now 3D printed patient-specific models of the aorta can aid presurgical planning and improve outcomes of minimally invasive valve replacement.
Science Highlights · November 5, 2020
The COVID-19 Test Us program was conceived soon after the RADx launch in April to facilitate clinical studies for testing technologies in the real-word setting.
Science Highlights · August 12, 2020
NIBIB-funded researchers have created nanoparticles for successful gene therapy of a mouse model of macular degeneration. The nanoparticle carriers have the potential to significantly expand the effectiveness of gene therapies for human eye diseases, including blindness.
Science Highlights · August 10, 2020
NIBIB mourns the passing of molecular imaging pioneer and NIBIB Advisory Council member, Sanjiv “Sam” Gambhir, M.D., Ph.D.
Science Highlights · June 29, 2020
A new technique funded by NIBIB and developed by University of Minnesota researchers allows 3D printing of hydrogel-based sensors directly on the surface of organs, such as lungs—even as they expand and contract. The technology was developed to support robot-assisted medical treatments.
Science Highlights · June 24, 2020
NIBIB-funded researchers at Stanford University have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
Science Highlights · June 10, 2020
Understanding the source and network of signals as the brain functions is a central goal of brain research. Now, Carnegie Mellon engineers have created a system for high-density EEG imaging of the origin and path of normal and abnormal brain signals.