Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
The outbreak and spread of the coronavirus affects everyday life. We keep you up-to-date with the latest research news, political developments, and background information on Covid-19 and the pathogen SARS-CoV-2.
The number of individuals with COVID-19 in the community was a significant factor associated with stress in health care workers over time.
More than 20 hospitals from across the world together with NVIDIA have used AI to predict Covid patients’ oxygen needs on a global scale.
Researchers are using virtual reality to understand the impact of moral distress on healthcare workers during the pandemic.
Researchers have produced a low-cost device to detect SARS-CoV-2 with biosensors.
Satellite-enabled drones have accelerated the provision of life-saving medical supplies at NHS hospitals in Scotland, boosting the country's efforts to combat COVID-19.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
With a ‘liquid assembly line,’ researchers produce mRNA-delivering-nanoparticles a hundred times faster than standard microfluidic technologies.
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
Researchers have designed a telepresence robot that enables people suffering from COVID-19 to talk to their loved ones.
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days.