Research

Stabilizing Brain-Computer Interfaces

Researchers from Carnegie Mellon University (CMU) and the University of Pittsburgh (Pitt) have published research in Nature Biomedical Engineering that will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices during or between experiments.

Smartphone Application for Coronavirus Contact Tracing

Researchers at the University of California, Irvine have developed a free, open-source smartphone application that permits contact tracing for potential coronavirus infections while preserving privacy. The team's project is detailed in a paper published recently in JMIR mHealth and uHealth.

World-First Breakthrough in Ventilator Splitting

A world-first breakthrough by Australian researchers in ventilator splitting could help hospitals under severe stress as the number of critical COVID-19 cases continues to rise. For the first time, researchers have successfully tested, in a simulated environment, the potential to ventilate two lungs of different compliances from a single ventilator.

Social Media can Forecast Economic Impact of Disasters Including COVID-19 Pandemic

Social media should be used to chart the economic impact and recovery of businesses in countries affected by the COVID-19 pandemic, according to new research published in Nature Communications. University of Bristol scientists describe a 'real time' method accurately trialled across three global natural disasters which could be used to reliably forecast the financial impact of the current global health crisis.

Successful Online Management of COVID-19 Infection

A team of researchers in Wuhan, China have developed a multidisciplinary self-managed home quarantine method that was effective in controlling the source of COVID-19 infection and was useful in alleviating the shortage of medical resources. The case study "Implications for Online Management: Two Cases with COVID-19" describes the use of an online/offline multidisciplinary quarantine observation form,

Experimental AI Tool Predicts which COVID-19 Patients Develop Respiratory Disease

An artificial intelligence tool accurately predicted which patients newly infected with the COVID-19 virus would go on to develop severe respiratory disease, a new study found. The work was led by NYU Grossman School of Medicine and the Courant Institute of Mathematical Sciences at New York University, in partnership with Wenzhou Central Hospital and Cangnan People's Hospital, both in Wenzhou, China.

Coronavirus Massive Simulations Completed on Frontera Supercomputer

Scientists are preparing a massive computer model of the coronavirus that they expect will give insight into how it infects in the body. They've taken the first steps, testing the first parts of the model and optimizing code on the Frontera supercomputer at the University of Texas at Austin's Texas Advanced Computing Center (TACC). The knowledge gained from the full model can help researchers design new drugs and vaccines to combat the coronavirus.