INBRE News

In 2024, the NIBIB communications team covered a wide variety of advances supported by the institute, from biomedical imaging to engineered nanomaterials to AI applications in health care. We present here a sample of some of the most-read articles written this year....

The National Institutes of Health has awarded more than $4 million in funds and support services to three diagnostic technology developers as part of the Rapid Acceleration of Diagnostics (RADx®) Tech’s Advanced Platforms for HIV Viral Load Monitoring program. During...

As astronauts venture further into space, their exposure to harmful radiation rises. NIBIB-funded researchers from Columbia University are simulating the effects of space radiation here on Earth to determine its impact on human physiology using multi-organ tissue...

The Brain Research Through Advancing Innovative Neurotechnologies® Initiative, or The BRAIN Initiative®, is marking a milestone—10 years of advancing neuroscience and neurotechnology research by funding innovative projects. As part of a rotating series...

By manipulating cancer evolution, researchers destroy resistant tumors in animal model With their eclectic mix of mutations, tumors often survive drug treatment. In a new study, researchers found a way to use cancer’s evolutionary potential against it, destroying...

E-learning technology concept. AI and machine learning enhance personalized learning. Technology course, teaching, business training. E-learning, online education, education, internet learning. The opportunity to pursue higher education at one of the country’s 100 or...

Typical diagnosis of upper urinary tract cancers requires removal of suspicious tissue with forceps, a technically challenging procedure that only samples one region of the organ. NIBIB-funded researchers are developing microgrippers that could be deployed throughout...

Researchers at UT Southwestern are working to bring in vivo gene editing to the fore. Through rational engineering of lipid nanoparticles, this collaborative team developed a way to effectively target specific organs in the body to precisely deliver therapeutic cargo,...

As AI is deployed in clinical centers across the U.S., one important consideration is to assure that models are fair and perform equally across patient groups and populations. To better understand the fairness of medical imaging AI, a team of researchers from...