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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.

Science Highlights · May 18, 2020

Researchers at the University of Wisconsin (UW) are adapting a minimally invasive, safer approach to electrically treat pain directly at the source as part of the NIH Helping to End Addiction Long-term (HEAL) Initiative.

Science Highlights · May 12, 2020

To counter drug resistance, scientists must engineer new drugs to kill mutated cancer cells or pathogens. Now, Penn State engineers have developed a new approach for predicting which mutation has expanded the most in a population and should be targeted to design the most effective new drug.