National Institutes of Health
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Tech Investments, Clinical Trials Success Led to COVID-19 Vaccine Approval
Digital clinical trials and technologies — as well as an unprecedented collaboration among industry, government and academia — were some of the most critical components to the rapid development of the Pfizer-BioNTech COVID-19 vaccine.
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NLM Leverages Data, Text Mining to Sharpen COVID-19 Research Databases
Data-mining techniques will allow health researchers to sharpen COVID-19 literature and clinical trial database search results.
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NIH Launches Competition to Accelerate COVID-19 Testing
The $1B+ initiative seeks solutions that enable accessibility, scalability, mobility and the ability to share data.
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NLM Highlights Essential Role of Clinical Databases in Pandemic
The ClinicalTrials.gov website is more important now than ever as it undergoes various modernization efforts.
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Chris Kinsinger, Proteomics Program Director, National Cancer Institute
Data strategies are bringing together researchers to advance health science in areas like cancer.
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Michelle Holko, Presidential Innovation Fellow at NIH
Exploring the value of data in health science efforts across government.
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NIH Launches Private-Public Coalition for COVID-19 Therapies, Vaccines
The group will consolidate data and resources to research and develop COVID-19 pharmaceutical solutions.
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NIH Launches Study for Undetected COVID-19 Cases Using At-Home Blood Sampling
The research will interact with participants virtually to shed light on the overall rate of infection across the country.
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FDA Approves First 3D-Printed Mask for COVID-19 Support
Technological solutions could provide relief to medical facilities in urgent need of necessary equipment.
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Agencies Turn to 3D Printing Amid Ventilator, PPE Shortages
The technology is one way to solve national shortages of medical supplies during the COVID-19 pandemic.
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Artificial Intelligence Efforts Span NIH, DHA, VA
Leaders from health agencies across government are progressing in applications for the technology.
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Stacie Alboum, Deputy Director, NIH Center for Information Technology
Role models are important to furthering the IT and tech workforce.
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