Artificial Intelligence in Pharmacy

Indian Journal of Pharmaceutical Education and Research

  • Sudipta Das1Department of Pharmaceutics, Netaji Subhas Chandra Bose Institute of Pharmacy, Nadia, West Bengal, INDIA.
  • Rimi Dey1Department of Pharmaceutics, Netaji Subhas Chandra Bose Institute of Pharmacy, Nadia, West Bengal, INDIA.
  • Amit Kumar Nayak2Department of Pharmaceutics, Seemanta Institute of Pharmaceutical Sciences, Mayurbhanj, Odisha, INDIA.

Volume 55 Issue 2 Pages 304-318

DOI: 10.5530/ijper.55.2.68

Abstract

Artificial Intelligence (AI) focuses in producing intelligent modelling, which helps in imagining knowledge, cracking problems and decision making. Recently, AI plays an important role in various fields of pharmacy like drug discovery, drug delivery formulation development, polypharmacology, hospital pharmacy, etc. In drug discovery and drug delivery formulation development, various Artificial Neural Networks (ANNs) like Deep Neural Networks (DNNs) or Recurrent Neural Networks (RNNs) are being employed. Several implementations of drug discovery have currently been analysed and supported the power of the technology in quantitative structure-property relationship (QSPR) or quantitative structure-activity relationship (QSAR). In addition, de novo design promotes the invention of significantly newer drug molecules with regard to desired/optimal qualities. In the current review article, the uses of AI in pharmacy, especially in drug discovery, drug delivery formulation development, polypharmacology and hospital pharmacy are discussed.

Keywords

  • Artificial intelligence
  • Artificial neural network
  • Drug discovery
  • Drug delivery
  • research
  • Hospital pharmacy
IJOPP

Loading…