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Artificial Intelligence in Health Digital and AI strategies for pharmaceutical industry

field. We believe that the perspectives in this paper have Test Method Based on Digital Twin: A survey. In: 2021
the potential to positively impact social change through International Conference on Computing, Electronic and
the enhancement of AI and DTs within the pharmaceutical Electrical Engineering (ICE Cube). United States: IEEE.
industry. The implication of this improvement is medical p1–7.
cost reduction, which in turn offers the community 3. Shoukat MU, Yu S, Shi S, et al., 2021, Evaluate the Connected
affordable healthcare. This study’s results can positively Autonomous Vehicles Infrastructure Using Digital Twin Model
impact pharmaceutical supply managers, researchers, Based on Cyber-Physical Combination of Intelligent Network.
th
and practitioners. Specifically, these findings can provide In: 2021 5 CAA International Conference on Vehicular
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sustainable supplier selection using multi-agent technology:
Acknowledgments Theory and application for Industry 4.0 supply chains.
The authors wish to acknowledge the School of Comput Ind Eng, 127: 588–600.
Management, Wuhan University of Technology (Wuhan https://doi.org/10.1016/j.cie.2018.10.050
430070, China) for providing the facilities and funding 5. Savage N, 2021, Tapping into the drug discovery potential of
needed for this research work. AI. Nature, B37–B39.
Funding https://doi.org/10.1038/d43747-021-00045-7

None. 6. Shoukat MU, Yan L, Du C, et al., 2022, Application of Digital
Twin in Smart Battery Electric Vehicle: Industry 4.0. In: 2022
Conflict of interest International Conference on IT and Industrial Technologies
(ICIT). United States: IEEE. p1–7.
The authors declare no competing of interest.
7. Akbulut S, Semantha FH, Azam S, et al., 2023, Designing
Author contributions a private and secure personal health records access
management system: A solution based on IOTA distributed
Conceptualization: Khadija Shoukat, Min Jian ledger technology. Sensors, 23: 5174.
Formal analysis: Asad Ullah, Shahid Hussain Atta, Wasim https://doi.org/10.3390/s23115174
Sijjad
Investigation: Min Jian 8. Dash S, Priyadarshini S, Mohanty SN, et al., 2023, Quantum
Methodology: Khadija Shoukat computing in netnomy: A networking paradigm in e‐
pharmaceutical setting. In: Evolution and Applications of
Software: Khadija Shoukat, Habiba Kalsoom Quantum Computing. United States: Wiley. p145–161.
Writing – original draft: Khadija Shoukat, Wasim Sijjad,
Muhammad Umar 9. Sikandar H, Abbas AF, Khan N, et al., 2022, Digital
Writing – review and editing: Muhammad Umar, Habiba technologies in healthcare: A systematic review and
Kalsoom, Shahid Hussain Atta, Asad Ullah bibliometric analysis. Int J Online Biomed Eng, 18: 34–48.
Ethics approval and consent to participate https://doi.org/10.3991/ijoe.v18i08.31961
10. Miller DA, Zarowitz BJ, Petitta A, et al., 1993, Pharmacy
Not applicable. technicians and computer technology to support clinical
pharmacy services. Am J Hosp Pharm, 50: 929–934.
Consent for publication
https://doi.org/10.1093/ajhp/50.5.929
Not applicable.
11. Barton AJ, 2012, The regulation of mobile health applications.
Availability of data BMC Med, 10: 1–4.

Not applicable. 12. Cortez N, 2019, Digital health and regulatory
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Volume 1 Issue 1 (2024) 40 https://doi.org/10.36922/aih.1486