Artificial intelligence in pharmacy

Artificial intelligence

Major goals

* Knowledge reasoning
* Planning
* Machine learning
* Natural language processing
* Computer vision
* Robotics
* Artificial general intelligence

Approaches

* Symbolic
* Deep learning
* Bayesian networks
* Evolutionary algorithms

Philosophy

* Ethics
* Existential risk
* Turing test
* Chinese room
* Control problem
* Friendly AI

History

* Timeline
* Progress
* AI winter

Technology

* Applications
* Projects
* Programming languages

Glossary

* Glossary

* v
* t
* e

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 optimisation, 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 revolutionalising the drug delivery systems. AI is helping scientists pick the right ingredients & mix them just right to make the best medicine! It's like a robot sous chef for drugs, crafting perfect formulas & testing them in a flash. Get ready for even better, faster treatments. AI sifts through thousands of drug recipes, picking the perfect one for max impact. Think stronger, longer-lasting meds, made faster than ever. Expect personalized pills, targeted cancer treatments, and even edible vaccines, all thanks to this powerful tool. It's an exciting time to be a pharmacist![14][15][16]

## References

1. ↑ "How Artificial Intelligence Is Transforming Business" (in en). 21 February 2023. https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html.
2. ↑ "Emerging Technologies: Artificial Intelligence Is Shaping Every Industry" (in en-US). Dataconomy Media GmbH. 6 September 2022. https://dataconomy.com/2022/09/06/emerging-technologies-artificial-intelligence/.
3. ↑ "Artificial Intelligence: What It Is and How It Is Used" (in en). 24 April 2023. https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp.
4. ↑ "Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design". Pharmaceutics 15 (7): 1916. July 2023. doi:10.3390/pharmaceutics15071916. PMID 37514102.
5. ↑ "The future of pharmacy: How AI is revolutionizing the industry" (in en). Intelligent Pharmacy 1 (1): 32–40. June 2023. doi:10.1016/j.ipha.2023.04.008. ISSN 2949-866X.
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, http://dx.doi.org/10.1016/b978-0-323-89925-3.00015-0, retrieved 2023-12-19
7. ↑ "AI for Pharmacist #6 Identifying AI Education Needs in Pharmaceutical Sciences" (in en). https://www.linkedin.com/pulse/identifying-ai-education-needs-pharmaceutical-yogesh-chaudhari-sohbf.
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. PMID 37514102.
9. ↑ "Using AI in Data Analysis – How to Make Sense of Big Data". 2023-04-30. https://influencermarketinghub.com/ai-data-analysis/.
10. ↑ "AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems". SN Computer Science 3 (2): 158. 2022-02-10. doi:10.1007/s42979-022-01043-x. PMID 35194580.
11. ↑ "Target Identification and Validation in Drug Development" (in en). 4 November 2022. http://www.technologynetworks.com/drug-discovery/articles/target-identification-and-validation-in-drug-development-366706.
12. ↑ "Computational approaches streamlining drug discovery". Nature 616 (7958): 673–685. April 2023. doi:10.1038/s41586-023-05905-z. PMID 37100941. Bibcode: 2023Natur.616..673S.
13. ↑ "Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery". Chemical Reviews 119 (18): 10520–10594. September 2019. doi:10.1021/acs.chemrev.8b00728. PMID 31294972.
14. ↑ pharmacyinfoline (2023-02-20). "Use Aartificial Intelligence for optimisation of pharmaceutical formulation" (in en-US). https://pharmacyinfoline.com/artificial-intelligence/aartificial-intelligence-pharmaceutical-formulation/.
15. ↑ A Handbook of Artificial Intelligence in Drug Delivery. Elsevier. 2023. doi:10.1016/c2020-0-03058-6. ISBN 978-0-323-89925-3. https://doi.org/10.1016/C2020-0-03058-6.
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. https://www.sciencedirect.com/science/article/pii/S0169409X19300511.

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