In a clinical trial and study supported by Brown scientists and alumni, a participant regained nearly fluent speech using a brain-computer interface that translates brain signals into speech with up to 97% accuracy.
The novel approach helps advance wireless sensor technology and paves the way for one day using large populations of inconspicuous sensors in implantable and wearable biomedical microdevices.
The new Institute for Biology, Engineering and Medicine at Brown University is developing and advancing research collaborations to produce biomedical ideas and innovations with clinical impact.
Researchers from the Institute for Biology, Engineering and Medicine at Brown will lead an effort with Columbia, Johns Hopkins and Yale to increase the number of faculty from historically underrepresented groups.
The hydrogel is designed to balance pH levels in a malignant tumor and act as a delivery system for one of the most effective cancer fighting drugs, potentially addressing critical problems faced in current cancer treatment.
The research can help unlock answers around how cells assemble themselves during embryonic development and what happens when this fundamental process goes awry.
Using a brain-computer interface, a clinical trial participant who lost the ability to speak was able to create text on a computer at rates that approach the speed of regular speech just by thinking of saying the words.
A new imaging technique opens a path toward long-term study of blood vessels in aging brains and could help predict neurodegenerative diseases decades before symptoms begin.
SBUDNIC, built by an academically diverse team of students using off-the-shelf parts, was confirmed to have successfully operated in orbit, demonstrating a practical, low-cost method to cut down on space debris.
The work by a research team made up largely of Brown graduate and undergraduate students addresses a critical biomedical need and has the potential to be widely adapted by clinicians to monitor antidepressants in patients.
In an important step toward a medical technology that could help restore independence of people with paralysis, researchers find the investigational BrainGate neural interface system has low rates of associated adverse events.
The lab of George Karniadakis, professor of applied mathematics and engineering, leads the charge of developing physics-informed neural networks to diagnose and predict the severity of arterial aneurysms.
The new process, which is more effective and efficient than conventional methods, has the potential to significantly impact cancer diagnostics as well as other fields of research.
A new study associated with the BrainGate consortium offered significant clues about how humans learn and form long-term memories; the findings could provide insights for developers of assistive tools for people with paralysis.
A new material developed at Brown University can respond to the presence of bacterial enzymes by releasing a cargo of therapeutic nanoparticles, which could prove particularly helpful in wound dressings.
Pulse oximeters often provide inaccurate readings for people with darker skin, a significant health disparity that physics Ph.D. student Rutendo Jakachira is working to eliminate.
With a massive shift under way toward more home-based health care delivery, more than 90 medical professionals and technologists gathered virtually to explore the challenges and opportunities that change presents.
A new 3D connective tissue model gives researchers a sophisticated tool to understand the underlying mechanisms of connective tissue disorders and test potential treatments.
The discovery of electrical signals in the brain associated with OCD could enable an emerging type of adaptive deep brain stimulation therapy as an improved treatment.
A new kind of neural interface system that coordinates the activity of hundreds of tiny brain sensors could one day deepen understanding of the brain and lead to new medical therapies.
A new infectious disease model that accounts for people’s ‘level of caution’ or ‘sense of safety’ accurately captures surges and declines in COVID-19 cases since March 2020 — and could help predict how the pandemic will eventually end.
Brown University researchers have developed a technique that could allow deep brain stimulation devices to sense activity in the brain and adjust stimulation accordingly.
A new study shows that mathematical topology can reveal how human cells organize into complex spatial patterns, helping to categorize them by the formation of branched and clustered structures.
Using a brain-computer interface, a clinical trial participant was able to create text on a computer at a rate of 90 characters per minute just by thinking about the movements involved in writing by hand.
In an important step toward a fully implantable intracortical brain-computer interface system, BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
A new study shows that an artificial intelligence system informed with the physical laws governing flowing fluids can infer pressures and stresses on capillaries just by analyzing images or videos of blood flow.
A team of Brown University researchers developed a technique that uses tiny polymer spheres to sense the forces at play as body tissue forms and grows.
In a conversation with leaders of Brown’s Carney Institute for Brain Science, two Brown neuroengineers explored how brain-computer interfaces promise to help restore movement in people with brain or spinal disorders.
A new technique for mapping the forces that clusters of cells exert on their surroundings could be useful for studying everything from tissue development to cancer metastasis.