The CDC, in collaboration with the NIH, has launched an innovative community health initiative called “Say Yes! COVID Test.” Up to 160,000 residents in two US communities will have access to free, rapid antigen tests that they can administer themselves to use three times a week for one month.
Press Releases · March 31, 2021
Press Releases · March 1, 2021
An NIH-funded research team has launched a study to assess performance and usability of a smartphone app paired with the Quidel QuickVue At-Home COVID-19 Test, which received FDA emergency use authorization for use with a prescription.
Press Releases · December 15, 2020
The FDA granted emergency use authorization today for an innovative COVID-19 viral antigen test developed with support from the NIH RADx Initiative.
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.
Press Releases · October 6, 2020
NIH, working in collaboration with the Biomedical Advanced Research and Development Authority (BARDA), today announced a third round of contract awards for scale-up and manufacturing of new COVID-19 testing technologies.
Press Releases · September 15, 2020
NIH has awarded seven contracts to companies and academic institutions to develop digital health solutions that help address the COVID-19 pandemic.
Press Releases · September 2, 2020
NIH announced $129.3 million in scale-up and manufacturing support for a new set of COVID-19 testing technologies as part of RADx. These tests add to initial awards made to seven companies on July 31, 2020.
Press Releases · August 25, 2020
The winners of National Institutes of Health’s 9th annual Design by Biomedical Undergraduate Teams (DEBUT) challenge developed simple and low-cost diagnostics and treatments for conditions such as tuberculosis, cervical cancer, birth defects, and onchocerciasis (river blindness).
Press Releases · August 5, 2020
The National Institutes of Health has launched an ambitious effort to use artificial intelligence, computation, and medical imaging to enable early disease detection, inform successful treatment strategies, and predict individual disease outcomes of COVID-19.