A Review on Artificial Intelligence (AI) in Pharmacy

  • Gude Mahendra Priyadarshini Institute of pharmaceutical Education and Research, 5th Mile, Pulladigunta, Guntur -522017, Andhra Pradesh, India.

Abstract

Intelligent technologies will someday replace human talent in many areas or enhance it. Artificial intelligence refers to the intelligence exhibited by software or robotics. It falls within the computer science category. Because artificial intelligence has significantly enhanced human lives in many ways, computer scientists are becoming more and more interested in studying it. Artificial intelligence has greatly improved the performance of industrial and service systems within the past 20 years. With countless applications in business, medicine, and engineering, it has greatly advanced into a science of problem-solving. Over time, artificial intelligence has become more and more prevalent in pharmaceutical technology. This is because technology can be used to save costs and time, as well as to better comprehend the correlations between various formulations and process parameters. Drug discovery, AI tools, manufacturing execution systems, automated control processes, AI to predict new treatment, creation of novel peptides from natural foods, management and treatment of rare diseases, drug adherence and dosage, and obstacles to AI adoption in pharma are all covered in the article. One of the main benefits of artificial intelligence is the shortening of drug development time, which lowers costs and saves time. The challenges facing the pharmaceutical business in deploying AI are also examined in the review.

Keywords: Artificial Intelligence, Drug development, Machine Learning, Pharmaceutical Industry

References

1. Dasta JF. Application of artificial intelligence to pharmacy and medicine. Hospital pharmacy. 1992 Apr 1;27(4):312-5.
2. Duch W, Swaminathan K, Meller J. Artificial intelligence approaches for rational drug design and discovery. Current pharmaceutical design. 2007 May 1;13(14):1497-508.
3. Nanjwade BK, Bechra HM, Derkar GK, Manvi FV, Nanjwade VK. Dendrimers: emerging polymers for drug-delivery systems. European Journal of Pharmaceutical Sciences. 2009 Oct 8;38(3):185-96. https://www.rjpbcs.com/pdf/2012_3(2)/[87].pdf
4. Gowri SP, Lakshmi HV, Bhanu VN, Brahmaiah B, Nama S, Rao CB. Proniosome: a novel approach to vesicular drug delivery system. The Pharma Innovation. 2013 May 1;2(3, Part A):166.
5. Silver D, Schrittwieser J, Simonyan K, Antonoglou I, Huang A, Guez A, Hubert T, Baker L, Lai M, Bolton A, Chen Y. Mastering the game of go without human knowledge. nature. 2017 Oct;550(7676):354-9.
6. Mulholland M, Hibbert DB, Haddad PR, Parslov P. A comparison of classification in artificial intelligence, induction versus a self-organising neural networks. Chemometrics and Intelligent Laboratory Systems. 1995 Nov 1;30(1):117-28.
7. Russell S, Dewey D, Tegmark M. Research priorities for robust and beneficial artificial intelligence. AI magazine. 2015 Dec 31;36(4):105-14.
8. Katakam P, Dey B, Assaleh FH, Hwisa NT, Adiki SK, Chandu BR, Mitra A. Top-down and bottom-up approaches in 3D printing technologies for drug delivery challenges. Critical Reviews™ in Therapeutic Drug Carrier Systems. 2015;32(1).
9. Khatib MM, Ahmed G. Robotic pharmacies potential and limitations of artificial intelligence: A case study. International Journal of Business Innovation and Research. 2020;23(3):298-312.
10. Mishra V. Artificial intelligence: the beginning of a new era in pharmacy profession. Asian Journal of Pharmaceutics (AJP). 2018 May 30;12(02).
11. M. Boyd A, W. Chaffee B. Critical evaluation of pharmacy automation and robotic systems: a call to action. Hospital pharmacy. 2019 Feb;54(1):4-11.
12. Chalasani SH, Syed J, Ramesh M, Patil V, Kumar TP. Artificial intelligence in the field of pharmacy practice: A literature review. Exploratory Research in Clinical and Social Pharmacy. 2023 Dec 1;12:100346.
13. Agarwal S, Gupta RK, Kumar S. Artificial Intelligence in the Pharmacy Profession. Int. J. Res. Pharm. Sci. 2021;12:2269-79.
14. Kar nr. Advancement of artificial intelligence in pharmacy: a review.
Statistics
66 Views | 46 Downloads
How to Cite
Gude, M. (2024). A Review on Artificial Intelligence (AI) in Pharmacy. Journal of Integral Sciences, 7(2), 21-28. Retrieved from https://jisciences.com/index.php/journal/article/view/87
Section
Review Article(s)