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Repurposing biomedical informaticians for COVID-19.
Sosa, Daniel N; Chen, Binbin; Kaushal, Amit; Lavertu, Adam; Lever, Jake; Rensi, Stefano; Altman, Russ.
  • Sosa DN; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Chen B; Department of Genetics, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA.
  • Kaushal A; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA.
  • Lavertu A; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Lever J; Deprtment of Bioengineering, Stanford University, Stanford, CA, USA.
  • Rensi S; Deprtment of Bioengineering, Stanford University, Stanford, CA, USA.
  • Altman R; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA; Deprtment of Bioengineering, Stanford University, Stanford, CA, USA. Electronic address: Russ
J Biomed Inform ; 115: 103673, 2021 03.
Article in English | MEDLINE | ID: covidwho-1039433
ABSTRACT
The COVID-19 pandemic is an unprecedented challenge to the biomedical research community at the intersection of great uncertainty due to the novelty of the virus and extremely high stakes due to the large global death count. The global quarantine shut-downs complicated scientific matters because many laboratories were closed down unless they were actively doing COVID-19 related research, making repurposing of activities difficult for many biomedical researchers. Biomedical informaticians, who have been primarily able to continue their research through remote work and video conferencing, have been able to maintain normal activities. In addition to continuing ongoing studies, there has been great grass roots interest in helping in the fight against COVID-19. In this commentary, we describe several projects that arose from this desire to help, and the lessons that the authors learned along the way. We then offer some insights into how these lessons might be applied to make scientific progress be more efficient in future crisis scenarios.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics / Biomedical Research / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: J Biomed Inform Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: J.jbi.2021.103673

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics / Biomedical Research / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: J Biomed Inform Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: J.jbi.2021.103673