A new artificial-intelligence technology for heart imaging can improve care for patients, allowing doctors to examine their hearts for scar tissue while eliminating the need for contrast injections. A team of researchers who developed the technology, including doctors at UVA Health, reports the success of the approach in a new article in the scientific journal…

Currently, there is little research focused on understanding mechanisms and drug discovery of lymphatic vascular diseases. However, conditions such as lymphedema, a buildup of fluid in the body when the lymph system is damaged, impact more than 200,000 people every year in the United States alone. Dr. Abhishek Jain, assistant professor in the Department of…

New research suggests that these increased hours spent online may be associated with cyberbullying behaviors. According to a study, higher social media addiction scores, more hours spent online, and identifying as male significantly predicted cyberbullying perpetration in adolescents. New research suggests that these increased hours spent online may be associated with cyberbullying behaviors. According to…

A new software improves data-independent acquisition proteomics by providing a computational workflow that permits highly sensitive and accurate data analysis. Proteins are essential for our cells to function, yet many questions about their synthesis, abundance, functions, and defects still remain unanswered. High-throughput techniques can help improve our understanding of these molecules. For analysis by liquid…

Scientists have just begun the third phase of a years-long experiment to understand how salt and very salty water behave near hot nuclear waste containers in a salt-bed repository. Salt’s unique physical properties can be used to provide safe disposal of radioactive waste, said Kristopher Kuhlman, a Sandia geoscientist and technical lead for the project.…

Engineers have demonstrated how a deep learning algorithm can be applied to a conventional computerized tomography (CT) scan in order to produce images that would typically require a higher level of imaging technology known as dual-energy CT. In research published today in Patterns, a team of engineers led by Wang demonstrated how a deep learning…

Just like explorers need maps, scientists require guides to better understand and advance new technology. A neuromorphic device, which can mimic the neural cells in our brain, has lacked such a guideline and created headaches for scientists trying to understand their operational mechanisms. That is until now after a research group created a map that…

A new deep learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could aid anesthesiologists and augment monitoring, according to a new study. In a special edition of Artificial Intelligence in Medicine, the team of neuroscientists, engineers and physicians demonstrated a machine learning algorithm for continuously automating dosing of the…

A new article looks at the use of virtual imaging trials in effective assessment and optimization of CT and radiography acquisitions and analysis tools to help manage the coronavirus disease (COVID-19) pandemic. Virtual imaging trials have two main components—representative models of targeted subjects and realistic models of imaging scanners—and the authors of this AJR article…

Simulation of non-Hermitian quantum mechanics using a quantum computer goes beyond centuries old conventions. The rules of quantum physics — which govern how very small things behave — use mathematical operators called Hermitian Hamiltonians. Hermitian operators have underpinned quantum physics for nearly 100 years but recently, theorists have realized that it is possible to extend…