Artificial Intelligence Unifies Knowledge and Actions in Drug Repositioning

Research output: Contribution to journalReview articlepeer-review


Drug repositioning aims to reuse existing drugs, shelved drugs, or drug candidates that failed clinical trials for other medical indications. Its attraction is sprung from the reduction of risk associated with safety testing of new medications and the time to get a known drug into the clinics. Artificial Intelligence (AI) has been recently pursued to speed up drug repositioning and discovery. The essence of AI in drug repositioning is to unify the knowledge and actions, i.e., incorporating real-world and experimental data to map out the best way forward to identify effective therapeutics against a disease. In this review, we share positive expectations for the evolution of AI and drug repositioning and summarize the role of AI in several methods of drug repositioning.
Original languageEnglish (US)
Article numberEmerg Top Life Sci (2021) ETLS20210223
JournalEmerging topics in life sciences
StateE-pub ahead of print - Dec 10 2021


  • Artificial intelligence
  • Drug Repositioning
  • Computational Biology
  • Deep Learning
  • Systems Medicine


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