Biomedical engineers at Duke University have developed an open-source software platform that automates 3D electrical nerve stimulation modeling.
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Engineers and ophthalmologists have developed a robotic imaging tool that can automatically detect and scan a patient's eyes for markers of different eye diseases.
Researchers have developed a minuscule robot that could revolutionize surgical procedures for treating prostate cancer.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Using VR to make threats appear near or far is what makes it harder to extinguish the fear of a close-up threat and more likely that you’ll have some long-term stress from the experience.
Researchers have developed a framework that will help data scientists and other researchers use better digital health tools for clinical purposes.
Engineers are developing a massive fluid dynamics simulator that can model blood flow through the full human arterial system at subcellular resolution.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
The first demonstration of a fully print-in-place electronics technique is gentle enough to work on surfaces as delicate as human skin and paper.
Collaborators are developing an endoscopic robotic system with two-handed dexterity at a much smaller scale than existing options.
Biomedical engineers have developed a portable optical coherence tomography scanner that promises to bring the vision-saving technology to underserved regions.
Researchers announce critical advances in the use of 3D-printed coronary phantoms with diagnostic software, further developing a non-invasive diagnostic method for Coronary Artery Disease risk assessment.