From understanding diseases to drug design: can artificial intelligence bridge the gap?

Anju Choorakottayil Pushkaran, Alya A. Arabi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Artificial intelligence (AI) has emerged as a transformative technology with significant potential to revolutionize disease understanding and drug design in healthcare. AI serves as a remarkable accelerating tool that bridges the gap between understanding diseases and discovering drugs. Given its capacity in the analysis and interpretation of massive amounts of data, AI is tremendously boosting the power of predictions with impressive accuracies. This allowed AI to pave the way for advancing all key stages of drug development, with the advantage of expediting the drug discovery process and curbing its costs. This is a comprehensive review of the recent advances in AI and its applications in drug discovery and development, starting with disease identification and spanning through the various stages involved in the drug discovery pipeline, including target identification, screening, lead discovery, and clinical trials. In addition, this review discusses the challenges that arise during the implementation of AI at each stage of the discovery process and provides insights into the future prospects of this field.

Original languageEnglish
Article number86
JournalArtificial Intelligence Review
Volume57
Issue number4
DOIs
Publication statusPublished - Apr 2024

Keywords

  • Artificial intelligence
  • Disease identification
  • Drug discovery
  • Machine learning

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

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