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    How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic 

    Bragazzi, Nicola Luigi et al. (2020-05-02)
    SARS-CoV2 is a novel coronavirus, responsible for the COVID-19 pandemic declared by the World Health Organization. Thanks to the latest advancements in the field of molecular and computational techniques and information ...
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    Clinical trials for the prevention and treatment of COVID ‐19: current state of play 

    Davis, Joshua S. et al. (2020-06-27)
    Since coronavirus disease 2019 (COVID ‐19) emerged in Wuhan, China in December 2019 and spread around the world, over 1100 clinical studies have been registered globally on clinical trials registries, including over 500 ...
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    Optimizing Medication Management During the COVID-19 Pandemic: It Takes a Village 

    Brandt, Nicole et al. (2020-06-29)
    Coronavirus disease 2019 (COVID-19) is an unprecedented pandemic that has particularly affected nursing homes and long-term care facilities. To support frontline health care professionals caring for older adults, the current ...
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    The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine 

    Kannan, Shantani et al. (2020-04-17)
    Context: In the healthcare system, Artificial Intelligence (AI) is emerging as a productive tool. There are instances where AI has done marvels in the diagnosis of various health conditions and the interpretation of complex ...
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    Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects 

    Albahri, O.S. et al. (2020-07-01)
    This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. ...
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    Venous thromboembolism in COVID-19: systematic review of reported risks and current guidelines 

    Pierre, Fontana et al. (2020-06-22)
    AIMS OF THE STUDY: Many centres have noticed a high number of venous thromboembolism (VTE) events among critically ill inpatients with COVID-19 pneumonia. The aims of this study were (1) to summarise the reported risk of ...

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Category
Candidate therapeutics RD (6)
Health systems and services (6)
Infection prevention and control, including health care workers protection (2)Clinical characterization and management (1)Operation readiness, surge capacity (1)LanguageEnglish (6)TypePublished Article (6)CountryOthers (6)AuthorAlbahri, O.S. et al. (1)Bragazzi, Nicola Luigi et al. (1)Brandt, Nicole et al. (1)Davis, Joshua S. et al. (1)Kannan, Shantani et al. (1)Pierre, Fontana et al. (1)SubjectCOVID-19 (6)Coronavirus (5)Infectious Diseases (5)Artificial Intelligence (3)Coronavirus Infections (3)Algorithms (1)Antiviral Agents (1)Benchmarking (1)Big Data (1)Clinical Trial (1)... View MoreDate Issued2020 (6)

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  • WHO International Clinical Trial Registry Platform (ICTRP)
  • WHO Coronavirus disease R&D Blueprint
  • WHO Database of Publications on Coronavirus Disease
  • PAHO Coronavirus Disease
  • PAHO/BIREME Windows of Knowledge COVID-19
  • Evidence aid Coronavirus (COVID-19) resources

  • PAHO Digital Library (IRIS PAHO)
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  • Global Index Medicus (GIM)