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NIBIB-funded researchers are fine-tuning a wearable, cuffless blood pressure monitor. Made of graphene, one of the thinnest materials in the world, the device is worn on the underside of the wrist and can measure blood pressure with comparable accuracy to a standard blood pressure cuff.

The National Institutes of Health has awarded research funding for seven pilot projects developing early stage, yet groundbreaking neuro-technologies. The innovative projects would enable new medical devices to diagnose and treat both acute and chronic disorders, from neuropathic pain to mental illness.

NIBIB researchers and their collaborators introduce several novel image restoration strategies that create sharp images with significantly reduced processing time and computing power.

When it blasts off from the Kennedy Space Center in Florida, Artemis I will carry two anthropomorphic mannequins strapped into its crew module. The mannequins are part of a project aided by a team of Duke University bioengineers with support from NIBIB.

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.

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

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.

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.

One team helped develop the first photon-counting detector (PCD)-CT system, which is superior to current CT technology. Another team has also been using artificial intelligence to lower the dose of radiation given to a patient when they are undergoing a conventional CT brain scan.