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.
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
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.
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.
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.
Tejal Desai, a professor and researcher who has led academic programs at the University of California San Francisco, Boston University and elsewhere, will work to expand collaborative engineering research and teaching.
With the help of an advanced machine learning technique, researchers from Brown University suggest strategies for improving the performance of epidemiological models used to predict the course of pandemics.
The accomplished dean and professor of engineering, who has led the school since its inception in 2011 and oversaw a decade of growth, will return to teaching and research after the 2021-22 academic year.
For his innovative teaching and support for students, engineering professor and associate provost Chris Rose will receive the 2022 Undergraduate Teaching Award from the Institute of Electrical and Electronics Engineers.
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.
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 a study that could help to bring inexpensive, efficient perovskite solar cells one step closer to commercial use, researchers found a way to strengthen a key weak point in the cells, dramatically increasing their functional life.
Bardiya Akhbari, a Ph.D. graduate in biomedical engineering, and Sonya Brooks, a master’s graduate in urban education policy, will speak about the power of human connection, especially in the midst of a global pandemic.
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 new study uses computer simulations to track airflows inside a car’s passenger cabin, providing potential strategies — some of them counterintuitive — for reducing the risk of transmitting airborne diseases.
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.
Novel coronavirus and its effect on University science laboratories has kept engineering student Portia Tieze from working on campus this summer — so she brought the lab to her apartment to continue her research.
In the University’s makerspace, 3D printers and other rapid prototyping equipment are being used to make personal protective equipment and other components that address the specific needs of local health providers.