Artificial intelligence in pharmacy

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Artificial intelligence

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Artificial intelligence in pharmacy is the application of artificial intelligence (AI)[1][2][3] to the discovery, development, and the treatment of patients with medications.[4] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of pharmaceuticals to prevent, treat, or cure disease.[5] AI, a technology that enables machines to simulate human intelligence, has found applications in pharmaceutical research, drug manufacturing, drug delivery systems, clinical trial optimization, treatment plans, and patient-centered services.[6][7][8]

## Drug discovery and development[edit]

Main articles: Drug discovery and Drug development

AI algorithms analyze vast datasets with greater speed and accuracy than traditional methods.[9][10] This has enabled the identification of potential drug candidates, prediction of their interactions, and optimization of formulations.[11] AI-driven simulations and modeling assist researchers in understanding molecular interactions, thus expediting the drug development timeline.[12][13]

## Drug delivery systems[edit]

AI is revolutionizing the drug delivery systems. AI technology can assist in identifying biological targets for pharmaceuticals, evaluating the pharmacological profiles of potential drugs, and analyzing genetic information; in the future, this could lead to drugs personalized to an individual, targeted cancer treatments, and edible vaccines.[14][15][16]

## References[edit]

1. ^ Uzialko A (21 February 2023). "How Artificial Intelligence Is Transforming Business". Business News Daily. Retrieved 2023-08-11.
2. ^ Gülen K (6 September 2022). "Emerging Technologies: Artificial Intelligence Is Shaping Every Industry". Dataconomy Media GmbH. Retrieved 2023-08-11.
3. ^ Frankenfield J (24 April 2023). Scott G (ed.). "Artificial Intelligence: What It Is and How It Is Used". Investopedia. Retrieved 2023-08-11.
4. ^ Vora LK, Gholap AD, Jetha K, Thakur RR, Solanki HK, Chavda VP (July 2023). "Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design". Pharmaceutics. 15 (7): 1916. doi:10.3390/pharmaceutics15071916. PMC 10385763. PMID 37514102.
5. ^ Khan O, Parvez M, Kumari P, Parvez S, Ahmad S (June 2023). "The future of pharmacy: How AI is revolutionizing the industry". Intelligent Pharmacy. 1 (1): 32–40. doi:10.1016/j.ipha.2023.04.008. ISSN 2949-866X. S2CID 258625020.
6. ^ Chaudhary, Shivang; Muthudoss, Prakash; Madheswaran, Thiagarajan; Paudel, Amrit; Gaikwad, Vinod (2023), "Artificial intelligence (AI) in drug product designing, development, and manufacturing", A Handbook of Artificial Intelligence in Drug Delivery, Elsevier, pp. 395–442, doi:10.1016/b978-0-323-89925-3.00015-0, ISBN 978-0-323-89925-3, retrieved 2023-12-19
7. ^ "AI for Pharmacist #6 Identifying AI Education Needs in Pharmaceutical Sciences". www.linkedin.com. Retrieved 2023-12-19.
8. ^ Vora, Lalitkumar K.; Gholap, Amol D.; Jetha, Keshava; Thakur, Raghu Raj Singh; Solanki, Hetvi K.; Chavda, Vivek P. (2023-07-10). "Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design". Pharmaceutics. 15 (7): 1916. doi:10.3390/pharmaceutics15071916. ISSN 1999-4923. PMC 10385763. PMID 37514102.
9. ^ Geyser W (2023-04-30). "Using AI in Data Analysis – How to Make Sense of Big Data". Influencer Marketing Hub. Retrieved 2023-08-13.
10. ^ Sarker IH (2022-02-10). "AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems". SN Computer Science. 3 (2): 158. doi:10.1007/s42979-022-01043-x. PMC 8830986. PMID 35194580.
11. ^ Ratanghayra N (4 November 2022). "Target Identification and Validation in Drug Development". Drug Discovery from Technology Networks. Retrieved 2023-08-13.
12. ^ Sadybekov AV, Katritch V (April 2023). "Computational approaches streamlining drug discovery". Nature. 616 (7958): 673–685. Bibcode:2023Natur.616..673S. doi:10.1038/s41586-023-05905-z. PMID 37100941. S2CID 258336875.
13. ^ Yang X, Wang Y, Byrne R, Schneider G, Yang S (September 2019). "Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery". Chemical Reviews. 119 (18): 10520–10594. doi:10.1021/acs.chemrev.8b00728. PMID 31294972. S2CID 195893285.
14. ^ pharmacyinfoline (2023-02-20). "Use Aartificial Intelligence for optimisation of pharmaceutical formulation". Pharmacy Infoline. Retrieved 2023-12-22.
15. ^ A Handbook of Artificial Intelligence in Drug Delivery. Elsevier. 2023. doi:10.1016/c2020-0-03058-6. ISBN 978-0-323-89925-3.
16. ^ Hassanzadeh, Parichehr; Atyabi, Fatemeh; Dinarvand, Rassoul (2019-11-01). "The significance of artificial intelligence in drug delivery system design". Advanced Drug Delivery Reviews. Editor's Collection 2019. 151–152: 169–190. doi:10.1016/j.addr.2019.05.001. ISSN 0169-409X. PMID 31071378.

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