| Autor: |
John Broach, Chad Achenbach, Stephanie Behar, Laurel O’Connor, Seanan Tarrant, Julia Ferranto, Colton Wright, Paul Hartin, Taylor Orwig, Janvi Nanavati, Benedict Kalibala, Kelsey Woods, Bernadette Shaw, Julie Flahive, Bruce Barton, Nathaniel Hafer, Carly Herbert, Nisha Fahey, Laura Gibson, Karl Simin, Timothy Kowalik, Doyle V. Ward, Agha W. Mirza, Robert L. Murphy, Matthew Caputo, Bryan Buchholz, Heidi Fantasia, Ainat Koren, Lisa Marchand, Simisola Oludare, Felix Sogade, Dana Ritland, Cedrice Davis, Allen Grenier, Christi Baron, Ellie Brent, Jennifer Bacani McKenney, Nancy Elder, LeAnn Michaels, Laura Ferrara, Grant Theron, Zaida Palmer, Barcey Levy, Jeanette Daly, Kim Parang, Megan Schmidt, Denis Buxton, William Heetderks, Yukari C. Manabe, Apurv Soni, David McManus |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-14 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2334 |
| DOI: |
10.1186/s12879-024-10154-0 |
| Popis: |
Abstract Shortly after the first case of SARS-CoV-2 was diagnosed a public health emergency (PHE) was declared and a multi-agency response was initiated within the US federal government to create and propagate testing capacity. As part of this response, an unprecedented program designated Rapid Acceleration of Diagnostics (RADx) Tech was established by the National Institutes of Health (NIH) to facilitate the development of point-of-care tests for the COVID-19. The RADx Tech Clinical Studies Core (CSC), located at the University of Massachusetts Chan Medical School (UMass Chan), with partnering academic, private, and non-governmental organizations around the country, was tasked with developing clinical studies to support this work. This manuscript details development of a biorepository specifically focused on the collection and storage of samples designed for diagnostic platform development. It highlights the unified collection and annotation process that enabled gathering a diverse set of samples. This diversity encompasses the geography and backgrounds of the participants as well as sample characteristics such as variant type and RT-PCR cycle threshold (CT) value of the corresponding reference sample on a uniform clinical reference platform. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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