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1–10 of 1994
The new COVID-19 Decision Support Dashboard synthesizes large amounts of complex, essential data into easy-to-use key findings for public and private-sector leaders navigating the “reopening” of communities and businesses.
Will schools reopen in the fall? If schools remain closed, what will be the impact on students’ education, long-term? How has the pandemic already impacted students, from elementary through higher ed; how are schools at all levels adapting to teaching virtually, and how to safely return to teaching in person - June 4, 2020 from 2-3 PM EDT
Testing, Testing, and More Testing: Newswise Live COVID-19 Expert Panel for May 28, 2PM EDT
A new study published recently in ScienceDirect by researchers from Syracuse University and SUNY Upstate Medical University shows that people with intellectual and developmental disabilities (IDD) are more likely to die from COVID-19 than those without IDD.
An Aalto University spinoff company has come up with a way to use existing lab microscopes in a completely new and much more effective way with their innovation of nanocoated glass. While this is very relevant to covid19 research, it holds great promise for many other viruses and diseases
After months of lockdown, it’s no surprise that people are itching to get out and about. But with ongoing debates about how and when to open Australia’s state and territory borders, it’s hard to know what to expect.
In a recent preprint (available through Cornell University’s open access website arXiv), a team led by a Lawrence Livermore National Laboratory computer scientist proposes a novel deep learning approach aimed at improving the reliability of classifier models designed for predicting disease types from diagnostic images, with an additional goal of enabling interpretability by a medical expert without sacrificing accuracy. The approach uses a concept called confidence calibration, which systematically adjusts the model’s predictions to match the human expert’s expectations in the real world.
Scientists from the University of Maryland School of Medicine (UMSOM) developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes. It uses a simple assay containing plasmonic gold nanoparticles to detect a color change when the virus is present. The test does not require the use of any advanced laboratory techniques, such as those commonly used to amplify DNA, for analysis. The authors published their work last week in the American Chemical Society’s nanotechnology journal ACS Nano.
Preventing airborne transmission of Covid-19 should be the next front of the battle against the virus, argue experts from the University of Surrey.
Showing results
1–10 of 1994
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