Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?

Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, Hamid Noori, Joseph M. Hardie, Mahdi Karimi, Hadi Shafiee

Research output: Contribution to journalReview articlepeer-review

11 Citations (Scopus)

Abstract

Gene therapy enables the introduction of nucleic acids like DNA and RNA into host cells, and is expected to revolutionize the treatment of a wide range of diseases. This growth has been further accelerated by the discovery of CRISPR/Cas technology, which allows accurate genomic editing in a broad range of cells and organisms in vitro and in vivo. Despite many advances in gene delivery and the development of various viral and non-viral gene delivery vectors, the lack of highly efficient non-viral systems with low cellular toxicity remains a challenge. The application of cutting-edge technologies such as artificial intelligence (AI) has great potential to find new paradigms to solve this issue. Herein, we review AI and its major subfields including machine learning (ML), neural networks (NNs), expert systems, deep learning (DL), computer vision and robotics. We discuss the potential of AI-based models and algorithms in the design of targeted gene delivery vehicles capable of crossing extracellular and intracellular barriers by viral mimicry strategies. We finally discuss the role of AI in improving the function of CRISPR/Cas systems, developing novel nanobots, and mRNA vaccine carriers.

Original languageEnglish
Article number101665
JournalNano Today
Volume47
DOIs
Publication statusPublished - Dec 2022

Keywords

  • AI
  • CRISPR/Cas
  • Gene delivery vehicles
  • Gene therapy
  • MRNA vaccine carriers
  • Nanobots

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering
  • General Materials Science
  • Pharmaceutical Science

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