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NIBIB in the News · December 14, 2020
Some two dozen companies are working on tests that let you sample and process results at home, including some that connect to your smartphone. But widespread use is still likely months away. Source: The Wall Street Journal.
NIBIB in the News · December 9, 2020
Organizations gained an easy way to assess the costs of COVID-19 testing plans this week, in the form of a free, online calculator funded and launched by NIBIB. Read more at Homeland Preparedness News.
NIBIB in the News · December 8, 2020
A data analytics tool shows organizations how different COVID-19 testing strategies and other mitigation methods can help reduce the spread of the virus. Read more at Health IT Analytics.
Science Highlights · December 8, 2020
Every year thousands of Americans, mostly over age 75, require replacement of their aortic valve. Now 3D printed patient-specific models of the aorta can aid presurgical planning and improve outcomes of minimally invasive valve replacement.
Grantee News · December 7, 2020
In a new study, a team of researchers outlines the technology for a CRISPR-based test for COVID-19 that uses a smartphone camera to provide accurate results in under 30 minutes.
Press Releases · December 7, 2020
The COVID-19 Testing Impact Calculator is a free resource that shows how different approaches to testing and other mitigation measures, such as mask use, can curb the spread of the virus in any organization.
NIBIB in the News · December 2, 2020
Britain has become the first country to license a fully tested covid-19 vaccine. The Economist’s health policy editor explains why this a historic milestone. Read more at Economist..
NIBIB in the News · November 25, 2020
A new tool sponsored by the NIH may be helpful in keeping holiday gatherings -- or any other meeting -- as safe and as coronavirus-free as possible. Watch at CNN.
Grantee News · November 24, 2020
A team of engineers has demonstrated how a new algorithm they developed was able to successfully predict whether or not a COVID-19 patient would need ICU intervention. This artificial intelligence-based approach could be a valuable tool in determining a proper course of treatment for individual patients.