Artificial intelligence and the pharmaceutical industry: transforming research, development, and manufacturing
Published:
31 December 2024
Volume 3
|
2024
14 Views
|
0 Downloads
References
[1]
Alabdulatif A. The global impact of artificial intelligence. In: Mabrouki J, Mourade A, editors. Technical and Technological Solutions Towards a Sustainable Society and Circular Economy. 1st ed. Cham: Springer Nature; 2024. p. 263-77.
Swanson K, Wu E, Zhang A, Alizadeh AA, Zou J. From patterns to patients: advances in clinical machine learning for cancer diagnosis, prognosis, and treatment. Cell. 2023;186(8):1772-91. https://doi.org/10.1016/j.cell.2023.01.035
Sahu A, Mishra J, Kushwaha N. Artificial intelligence (AI) in drugs and pharmaceuticals. Comb Chem High Throughput Screen. 2022;25(11):1818-37. https://doi.org/10.2174/1386207325666211207153943
Serrano DR, Luciano FC, Anaya BJ, Ongoren B, Kara A, Molina G, et al. Artificial intelligence (AI) applications in drug discovery and drug delivery: revolutionizing personalized medicine. Pharmaceutics. 2024;16(10):1328. https://doi.org/10.3390/pharmaceutics16101328
Zhang P, Kamel Boulos MN. Generative AI in medicine and healthcare: promises, opportunities and challenges. Future Internet. 2023;15(9):286. https://doi.org/10.3390/fi15090286
Roots Analysis. AI in drug manufacturing market. 2024 [cited 15 July 2024]. Available from: https://www.rootsanalysis.com/reports/ai-in-drug-manufacturing-market.html.
[7]
Alvarez-Machancoses O, Fernandez-Martinez JL. Using artificial intelligence methods to speed up drug discovery. Expert Opin Drug Discov. 2019;14(8):769-77. https://doi.org/10.1080/17460441.2019.1621284
Sarkar C, Das B, Rawat VS, Wahlang JB, Nongpiur A, Tiewsoh I, et al. Artificial intelligence and machine learning technology driven modern drug discovery and development. Int J Mol Sci. 2023;24(3):2026. https://doi.org/10.3390/ijms24032026
MedPath. Generative AI poised to transform clinical trial efficiency with 40% faster regulatory submissions. 2024 [cited 15 July 2024]. Available from: https://trial.medpath.com/news/72360b3d077886ab/generative-ai-poised-to-transform-clinical-trial-efficiency-with-40-faster-regulatory-submissions.
[11]
Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK. Artificial intelligence in drug discovery and development. Drug Discov Today. 2021;26(1):80-93. https://doi.org/10.1016/j.drudis.2020.10.010
Miller JA, Fredrickson ME, Greene JM, Jay M, Oyewumi MO. Reimagining drug manufacturing paradigm in today's pharmacy landscape. J Am Pharm Assoc. 2022;62(6):1761-4. https://doi.org/10.1016/j.japh.2022.08.024
Ejjami R, Boussalham K. Industry 5.0 in manufacturing: enhancing resilience and responsibility through AI-driven predictive maintenance, quality control, and supply chain optimization. Int J Multidiscip Res. 2024;6(4):240425733. https://doi.org/10.36948/ijfmr.2024.v06i04.25733
Kot S, Hussain HI, Bilan S, Haseeb M, Mihardjo LWW. The role of artificial intelligence recruitment and quality to explain the phenomenon of employer reputation. J Bus Econ Manag. 2021;22(4):867-83. https://doi.org/10.3846/jbem.2021.14606
Saha GC, Eni LN, Saha H, Parida PK, Rathinavelu R, Jain SK, et al. Artificial intelligence in pharmaceutical manufacturing: enhancing quality control and decision making. Riv Ital Filos Anal Jr. 2023;14(2):2023.
[17]
Subramanian S. Leveraging IoT data streams for AI-based quality control in smart manufacturing systems in process industry. J AI-Assist Sci Discov. 2023;3(1):784-820.
[18]
Lamberti MJ, Wilkinson M, Donzanti BA, Wohlhieter GE, Parikh S, Wilkins RG, et al. A study on the application and use of artificial intelligence to support drug development. Clin Ther. 2019;41(8):1414-26. https://doi.org/10.1016/j.clinthera.2019.05.018
Druedahl LC, Price WN, Minssen T, Sarpatwari A. Use of artificial intelligence in drug development. JAMA Netw Open. 2024;7(5):e2414139. https://doi.org/10.1001/jamanetworkopen.2024.14139
Morin O, Vallières M, Braunstein S, Ginart JB, Upadhaya T, Woodruff HC, et al. An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication. Nat Cancer. 2021;2:709-22. https://doi.org/10.1038/s43018-021-00236-2
Jacoba CMP, Celi LA, Silva PS. Biomarkers for progression in diabetic retinopathy: expanding personalized medicine through integration of AI with electronic health records. Semin Ophthalmol. 2021;36(4):250-7. https://doi.org/10.1080/08820538.2021.1893351
Reddy S, Allan S, Coghlan S, Cooper P. A governance model for the application of AI in health care. J Am Med Inform Assoc. 2020;27(3):491-7. https://doi.org/10.1093/jamia/ocz192