Artificial intelligence in pharmacy

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

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

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

^ Uzialko A (21 February 2023). "How Artificial Intelligence Is Transforming Business". Business News Daily. Retrieved 2023-08-11.
^ Gülen K (6 September 2022). "Emerging Technologies: Artificial Intelligence Is Shaping Every Industry". Dataconomy Media GmbH. Retrieved 2023-08-11.
^ Frankenfield J (24 April 2023). Scott G (ed.). "Artificial Intelligence: What It Is and How It Is Used". Investopedia. Retrieved 2023-08-11.
^ 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.
^ 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.
^ 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.
^ "AI for Pharmacist #6 Identifying AI Education Needs in Pharmaceutical Sciences". www.linkedin.com. Retrieved 2023-12-19.
^ 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.
^ Geyser W (2023-04-30). "Using AI in Data Analysis – How to Make Sense of Big Data". Influencer Marketing Hub. Retrieved 2023-08-13.
^ 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.
^ Ratanghayra N (4 November 2022). "Target Identification and Validation in Drug Development". Drug Discovery from Technology Networks. Retrieved 2023-08-13.
^ 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.
^ 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.
^ pharmacyinfoline (2023-02-20). "Use Aartificial Intelligence for optimisation of pharmaceutical formulation". Pharmacy Infoline. Retrieved 2023-12-22.
^ A Handbook of Artificial Intelligence in Drug Delivery. Elsevier. 2023. doi:10.1016/c2020-0-03058-6. ISBN 978-0-323-89925-3.
^ 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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[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] rmacyinfoline (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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