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Artificial Intelligence in Health                                    AI in pharma: Embracing transformation



               doi: 10.1016/j.cie.2021.107774                     the literature. Pharmaceut Med. 2022;36(5):295-306.
            4.   Brodeur A, Gray D, Islam A, Bhuiyan S. A  literature      doi: 10.1007/s40290-022-00441-z
               review  of the economics  of COVID‐19.  J  Econ Surv.   17.  Association of the British Pharmaceutical Industry. Medicine
               2021;35(4):1007-1044.
                                                                  Lifecycle; 2021.  Available  from: https://www.abpi.org.uk/
               doi: 10.1111/joes.12423                            value-and-access/uk-medicine-pricing/medicine-lifecycle
                                                                  [Last accessed on 2023 Jun 24].
            5.   Schwab K.  The Fourth Industrial Revolution. New  York:
               Portfolio Penguin; 2017.                        18.  Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK.
                                                                  Artificial intelligence in drug discovery and development.
            6.   Russell S, Norvig P.  Artificial Intelligence: A  Modern
               Approach. 4  ed. London: Pearson; 2022.            Drug Discov Today. 2021;26(1):80-93.
                        th
                                                                  doi: 10.2174/1872208316666220802151129
            7.   Selvaraj  C, Chandra I,  Singh  S. Artificial  intelligence  and
               machine  learning  approaches  for drug  design: Challenges   19.  Askin S, Burkhalter D, Calado G, El Dakrouni S. Artificial
               and  opportunities  for  the pharmaceutical  industries.  Mol   intelligence applied to clinical trials: Opportunities and
               Divers. 2021;26:1893-1913.                         challenges. Health Technol (Berl). 2023;13(2):203-213.
               doi: 10.1007/s11030-021-10326-z                    doi: 10.1007/s12553-023-00738-2
            8.   Kulkov I. The role of artificial intelligence in business   20.  Harrer S, Shah P, Antony B, Hu J. Artificial intelligence for
               transformation: A  case of pharmaceutical companies.   clinical trial design. Trends Pharmacol Sci. 2019;40(8):577-591.
               Technol Soc. 2021;66:101629.
                                                                  doi: 10.1016/j.tips.2019.05.005
               doi: 10.1016/j.techsoc.2021.101629
                                                               21.  Hockings JK, Pasternak AL, Erwin AL, Mason N, Eng C,
            9.   Bodenheimer T, Sinsky C. From triple to quadruple aim:   Hicks JK. Pharmacogenomics: An evolving clinical tool for
               Care of the patient requires care of the provider. Ann Fam   precision medicine. Cleve Clin J Med. 2020;87(2):91-99.
               Med. 2014;12(6):573-576.
                                                                  doi: 10.3949/ccjm.87a.19073
               doi: 10.1370/afm.1713
                                                               22.  CNBC.  Google Cloud Launches A.I.-Powered Tools to
            10.  Kelly BS, Judge C, Bollard SM,  et al. Radiology artificial   Accelerate Drug Discovery, Precision Medicine; 2023.
               intelligence: A systematic review and evaluation of methods   Available from: https://www-cnbc-com.cdn.ampproject.
               (RAISE). Eur Radiol. 2022;32(11):7998-8007.        org/c/s/www.cnbc.com/amp/2023/05/16/google-cloud-
                                                                  launches-ai-tools-to-accelerate-drug-discovery.html  [Last
               doi: 10.1007/s00330-022-08784-6
                                                                  accessed on 2023 Jun 13].
            11.  Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P.
               The role of artificial intelligence in healthcare: A structured   23.  Euchner J. Generative AI. Res Manage. 2023;66(3):71-74.
               literature review. BMC Med Inform Decis Mak. 2021;21:125.     doi: 10.1080/08956308.2023.2188861
               doi: 10.1186/s12911-021-01488-9                 24.  Ebert C, Louridas P. Generative AI for software practitioners.
                                                                  IEEE Softw. 2023;40(4):30-38.
            12.  Association of the British Pharmaceutical Industry.  Code
               of Practice for the Pharmaceutical Industry 2021;  2021.      doi: 10.1109/MS.2023.3265877
               Available from: https://www.abpi.org.uk/publications/code-  25.  McKinsey.  The Economic Potential of Generative AI: The
               of-practice-for-the-pharmaceutical-industry-2021  [Last  Next Productivity Frontier; 2023. Available from: https://
               accessed on 2023 May 01].
                                                                  www.mckinsey.com/capabilities/mckinsey-digital/our-
            13.  EY. EY Smart Reviewer; 2023. Available from: https://www.  insights/the-economic-potential-of-generative-ai-the-next-
               ey.com/en_uk/life-sciences/smart-reviewer [Last accessed   productivity-frontier [Last accessed on 2023 Jun 15].
               on 2023 Jun 15].
                                                               26.  Forbes.  Who’s Winning the Chatbot Race? These
            14.  Lucas S, Ailani J, Smith TR, Abdrabboh A, Xue F, Navetta MS.   Companies  -from Meta to Alibaba  -Have All Introduced
               Pharmacovigilance: Reporting  requirements  throughout a   AI-Powered  Programs; 2023. Available from: https://www.
               product’s lifecycle. Ther Adv Drug Saf. 2022;13:1-16.  forbes.com/sites/ariannajohnson/2023/04/13/whos-
                                                                  winning-the-chatbot-race-these-companies--from-meta-
               doi: 10.1177/20420986221125006
                                                                  to-alibaba-have-all-introduced-ai-powered-programs [Last
            15.  World  Health  Organization.  The  Importance  of  accessed on 2023 Jun 13].
               Pharmacovigilance: Safety Monitoring of Medicinal Products;
               2023. Available from: https://www.who.int/publications/i/  27.  Rosario A, Moniz L, Cruz R. Data science applied to
               item/10665-42493 [Last accessed on 2023 Jun 18].   marketing. J Inform Sci Eng. 2021;37(5):1067-1081.
                                                                  doi: 10.6688/JISE.202109_37(5).0006
            16.  Salas M, Petracek J, Yalamanchili P, et al. The use of artificial
               intelligence in  pharmacovigilance: A  systematic  review  of   28.  Verma S, Sharma R, Deb S, Maitra D. Artificial intelligence in


            Volume 1 Issue 3 (2024)                         7                                doi: 10.36922/aih.2973
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