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NIBIB in the News · October 21, 2022

Biomedical engineers at Duke University have demonstrated the most effective treatment for pancreatic cancer ever recorded in mouse models. While most mouse trials consider simply halting growth a success, the new treatment completely eliminated tumors in 80% of mice across several model types, including those considered the most difficult to treat. Source: Science Daily/Duke University

Science Highlights · October 19, 2022

Researchers have found that AI models could accurately predict self-reported race in several types of medical images, suggesting that race information could be unknowingly incorporated into image analysis models.

Science Highlights · October 17, 2022

NIBIB Director Bruce J. Tromberg, Ph.D., has been elected to membership in the National Academy of Medicine.

NIBIB in the News · October 7, 2022

Researchers have developed a low-cost imaging system that can provide quantitative information about how deep within tissue a cancer cell resides. The system can help surgeons distinguish healthy tissue from tumors and could minimize health disparities in low-resource clinical centers. Source: Science Daily/Optica

Science Highlights · October 4, 2022

NIBIB-funded researchers have developed an interlinked tissue chip system that can model four mature organs in their perspective environments simultaneously. These multi-organ tissue chips could represent a new way to evaluate diseases or drugs that affect multiple different tissues.

Science Highlights · September 27, 2022

The National Institutes of Health, through its Blueprint MedTech program, has established two incubator hubs and launched a funding solicitation in support of commercially viable, clinically focused neurotechnology solutions to diagnose and treat disorders of the nervous system.

NIBIB in the News · September 25, 2022

NIBIB's Grace Peng provides an overview of the new NIH Bridge2AI program in an interview with Mimi Geerges. Source: Government Matters

NIBIB in the News · September 19, 2022

New computed tomography (CT) technology paired with artificial intelligence (AI)-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT, according to a new study. Source: Science Daily/Radiological Society of North America

NIBIB in the News · September 19, 2022

NIBIB Intramural Research Program labs collaborate with other NIH researchers on tackle engineering challenges.