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Artificial intelligence in COVID-19 drug repurposing.
Zhou, Yadi; Wang, Fei; Tang, Jian; Nussinov, Ruth; Cheng, Feixiong.
  • Zhou Y; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Wang F; Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY, USA.
  • Tang J; Mila-Quebec Institute for Learning Algorithms and CIFAR AI Research Chair, HEC Montreal, Montréal, QC, Canada.
  • Nussinov R; Cancer and Inflammation Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, MD, USA.
  • Cheng F; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Lancet Digit Health ; 2(12): e667-e676, 2020 12.
Article in English | MEDLINE | ID: covidwho-978471
ABSTRACT
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artificial intelligence (AI) and network medicine offer cutting-edge application of information science to defining disease, medicine, therapeutics, and identifying targets with the least error. In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision medicine, and as an example, how AI models can accelerate COVID-19 drug repurposing. Rapidly developing, powerful, and innovative AI and network medicine technologies can expedite therapeutic development. This Review provides a strong rationale for using AI-based assistive tools for drug repurposing medications for human disease, including during the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Drug Repositioning / COVID-19 Drug Treatment Type of study: Prognostic study Limits: Humans Language: English Journal: Lancet Digit Health Year: 2020 Document Type: Article Affiliation country: S2589-7500(20)30192-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Drug Repositioning / COVID-19 Drug Treatment Type of study: Prognostic study Limits: Humans Language: English Journal: Lancet Digit Health Year: 2020 Document Type: Article Affiliation country: S2589-7500(20)30192-8