Researchers have developed sugar-coated gold nanoparticles to both image and destroy biofilms. In a study, they used the nanoparticles on the teeth and wounded skin of rats and mice, eliminating biofilms in as little as one minute and outperforming common antimicrobials.
Science Highlights · March 12, 2024
NIBIB in the News · March 12, 2024
Using a circuit-based system, scientists determined the ideal transcription factor levels to promote the successful reprogramming of fibroblasts into induced pluripotent stem cells.
Science Highlights · March 7, 2024
In recognition of International Women’s Day (March 8), we’re featuring Rebecca Richards-Kortum, Ph.D., a longtime bioengineer in academia who has contributed globally to improving women's health.
Science Highlights · March 6, 2024
NIH announced finalists in its competition to accelerate development of diagnostic and monitoring technologies to improve fetal health outcomes in low-resource settings.
Science Highlights · March 4, 2024
What if bacteria—which love to grow deep inside tumors—could guide cancer therapies directly to their target? NIH-funded researchers have engineered a bacterial strain to “light up” tumors so that reprogrammed T cells, drawn like a moth to a flame, can find and destroy them. Their preclinical treatment could potentially be effective against any solid tumor type.
Science Highlights · February 28, 2024
The lungs are one of the most difficult organs for physicians to navigate. A collaborative team of NIH-funded researchers have built a compact robotic system that can autonomously steer around anatomical obstacles within the lungs of live animals.
Science Highlights · February 27, 2024
A collaborative team of NIH-funded researchers is developing a way to obtain DNA shed from brain tumors using focused ultrasound. Their first-in-human study could be an important step towards improving the way brain tumors are diagnosed.
NIBIB in the News · February 27, 2024
NIH announced the Phase 2 winners of the Neuromod prize competition.
NIBIB in the News · February 22, 2024
Stanford Medicine researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains. The study revealed that the model was more than 90% successful at determining whether fMRI scans of brain activity came from a woman or a man. Source: Stanford Medicine