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Translational Biomedicine

  • ISSN: 2172-0479
  • Journal h-index: 18
  • Journal CiteScore: 5.91
  • Journal Impact Factor: 4.11
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
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Iman Beheshti

Department of Translational Epidemiology, Sorbonne University, Paris, France

Publications
  • Editorial   
    Artificial intelligence in COVID-19 drug repurposing
    Author(s): Iman Beheshti*

    Drug repurposing or repositioning may be a technique whereby existing drugs are wont to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach due to the chance for reduced development timelines and overall costs. The artificial intelligence (AI) pioneers of the 1950s foresaw building machines that would sense, reason, and think like people?a proof-of-concept referred to as general AI. The increasing cost of drug development is thanks to the massive volume of compounds to be tested in preclinical stages and therefore the high proportion of randomised controlled trials (RCTs) that don't find clinical benefits or with toxicity issues. This Review provides a robust rationale for using AI-based assistive tools for drug repurposing medications for human disease, including during the COVID-19 pandemic. Drug repurposing may .. View More»

    Abstract