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Published on:May 2021
Indian Journal of Pharmaceutical Education and Resea, 2021; 55(2):304-318
Review Article | doi:10.5530/ijper.55.2.68

Artificial Intelligence in Pharmacy


Authors and affiliation (s):

Sudipta Das1,*, Rimi Dey1, Amit Kumar Nayak2

1Department of Pharmaceutics, Netaji Subhas Chandra Bose Institute of Pharmacy, Nadia, West Bengal, INDIA.

2Department of Pharmaceutics, Seemanta Institute of Pharmaceutical Sciences, Mayurbhanj, Odisha, INDIA.

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.

Key words: Artificial intelligence, Artificial neural network, Drug discovery, Drug delivery research, Hospital pharmacy.

 




 

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The Official Journal of Association of Pharmaceutical Teachers of India (APTI)
(Registered under Registration of Societies Act XXI of 1860 No. 122 of 1966-1967, Lucknow)

Indian Journal of Pharmaceutical Education and Research (IJPER) [ISSN-0019-5464] is the official journal of Association of Pharmaceutical Teachers of India (APTI) and is being published since 1967.

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