Role of Artificial Intelligence in Healthcare and Pharmaceutical Sector

Authors

  • Tirumalareddy. Nagarjuna Reddy Priyadarshini Institute of Pharmaceutical Education and Research, 5th mile, Pulladigunta, Guntur-522017, Andhra Pradesh, India

Keywords:

Artificial intelligence, pharmacy, pharmacist

Abstract

Artificial Intelligence (AI) has emerged as a transformative tool in various fields, including pharmacy and healthcare. It enables intelligent modelling for knowledge representation, problem-solving, and decision-making. AI has played a crucial role in pharmacy, particularly in drug discovery, drug delivery formulation development, pharmacology, and hospital pharmacy. Advanced AI techniques, such as Artificial Neural Networks (ANNs), Deep Neural Networks (DNNs), and Recurrent Neural Networks (RNNs), have been extensively applied in these domains. Notably, AI-driven approaches like Quantitative Structure-Property Relationship (QSPR) and Quantitative Structure-Activity Relationship (QSAR) have demonstrated significant potential in drug discovery, while de novo design facilitates the invention of novel drug molecules with optimal properties. AI is revolutionizing healthcare research and service delivery by enabling efficient data analysis, improving disease diagnosis, advancing digital therapeutics, and personalizing treatment strategies. With its ability to predict and forecast epidemics and pandemics, AI has been successfully applied to diseases such as seasonal influenza, Zika, Ebola, Tuberculosis, and COVID-19. Technologies like deep learning, Bayesian nonparametric models, natural language processing, and wearable devices contribute significantly to clinical trial design, patient identification, and real-time monitoring. The Indian pharmaceutical sector has emerged as a global leader in generic drug and vaccine production. However, challenges persist across various stages, from early research and development to market deployment.

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References

Mak KK, Pichika MR. Artificial intelligence in drug development: present status and future prospects. Drug discovery today. 2019 Mar 1;24(3):773-80. https://doi.org/10.1016/j.drudis.2018.11.014

Hassanzadeh P, Atyabi F, Dinarvand R. The significance of artificial intelligence in drug delivery system design. Advanced drug delivery reviews. 2019 Nov 1;151:169-90. https://doi.org/10.1016/j.addr.2019.05.001

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future healthcare journal. 2019 Jun 1;6(2):94-8. https://doi.org/10.7861/futurehosp.6-2-94

Kalyane D, Sanap G, Paul D, Shenoy S, Anup N, Polaka S, Tambe V, Tekade RK. Artificial intelligence in the pharmaceutical sector: current scene and future prospect. InThe future of pharmaceutical product development and research 2020 Jan 1 (pp. 73-107). Academic Press. https://doi.org/10.1016/B978-0-12-814455-8.00003-7

Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, Raza SM. Artificial intelligence (AI) in pharmacy: an overview of innovations. INNOVATIONS in pharmacy. 2022 Dec 12;13(2):10-24926. https://doi.org/10.24926/iip.v13i2.4839

Kawal F. A tour to the world of artificial intelligence. Cybernomics. 2020;2(5):33-5. https://pubmed.ncbi.nlm.nih.gov/36654703/

Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, Raza SM. Artificial intelligence (AI) in pharmacy: an overview of innovations. INNOVATIONS in pharmacy. 2022 Dec 12;13(2):10-24926. https://doi.org/10.24926/iip.v13i2.4839

Lopes V, Alexandre LA. An overview of blockchain integration with robotics and artificial intelligence. arXiv preprint arXiv:1810.00329. 2018 Sep 30. https://doi.org/10.48550/arXiv.1810.00329

Mulholland M, Hibbert DB, Haddad PR, Parslov P. A comparison of classification in artificial intelligence, induction versus a self-organising neural networks. Chemometrics and Intelligent Laboratory Systems. 1995 Nov 1;30(1):117-28. https://doi.org/10.1016/0169-7439(95)00050-X

Cherkasov A, Hilpert K, Jenssen H, Fjell CD, Waldbrook M, Mullaly SC, Volkmer R, Hancock RE. Use of artificial intelligence in the design of small peptide antibiotics effective against a broad spectrum of highly antibiotic-resistant superbugs. ACS chemical biology. 2009 Jan 16;4(1):65-74. https://doi.org/10.1021/cb800240j

Yildirim O, Gottwald M, Schüler P, Michel MC. Opportunities and challenges for drug development: public–private partnerships, adaptive designs and big data. Frontiers in pharmacology. 2016 Dec 6;7:461. https://doi.org/10.3389/fphar.2016.00461

Medarević DP, Kleinebudde P, Djuriš J, Djurić Z, Ibrić S. Combined application of mixture experimental design and artificial neural networks in the solid dispersion development. Drug development and industrial pharmacy. 2016 Mar 3;42(3):389-402. https://doi.org/10.3109/03639045.2015.1054831

Maghimaa M, Suresh Sagadevan, Punna Rao Suryadevara, Hari Hara Sudhan, Gowri Sankara Rao Burle, Janne Ruokolainen, Vinod Kumar Nelson, Kavindra Kumar Kesari, Cytotoxicity and targeted drug delivery of green synthesized metallic nanoparticles against oral Cancer: A review, Inorganic Chemistry Communications, Volume 173, 2025, 113806, ISSN 1387-7003,

Mitchell JB. Artificial intelligence in pharmaceutical research and development. Future Medicinal Chemistry. 2018 Jul 1;10(13):1529-31. https://doi.org/10.4155/fmc-2018-0158

Bhattamisra SK, Banerjee P, Gupta P, Mayuren J, Patra S, Candasamy M. Artificial intelligence in pharmaceutical and healthcare research. Big Data and Cognitive Computing. 2023 Jan 11;7(1):10. https://doi.org/10.3390/bdcc7010010

Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Dos Santos DP, Tang A, Wald C, Slavotinek J. Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA. Canadian Association of Radiologists Journal. 2024 May;75(2):226-44. https://doi.org/10.1177/08465371231222229

Gruber LJ, Egger J, Bönsch A, Kraeima J, Ulbrich M, van den Bosch V, Motmaen I, Wilpert C, Ooms M, Isfort P, Hölzle F. Accuracy and precision of mandible segmentation and its clinical implications: virtual reality, desktop screen and artificial intelligence. Expert Systems with Applications. 2024 Apr 1;239:122275. https://doi.org/10.1016/j.eswa.2023.122275

Duch W, Setiono R, Zurada JM. Computational intelligence methods for rule-based data understanding. Proceedings of the IEEE. 2004 May 31;92(5):771-805. https://doi.org/10.1109/JPROC.2004.826605

Firth NC, Atrash B, Brown N, Blagg J. MOARF, an integrated workflow for multiobjective optimization: implementation, synthesis, and biological evaluation. Journal of chemical information and modeling. 2015 Jun 22;55(6):1169-80. https://doi.org/10.1021/acs.jcim.5b00073

Zhang L, Tan J, Han D, Zhu H. From machine learning to deep learning: progress in machine intelligence for rational drug discovery. Drug discovery today. 2017 Nov 1;22(11):1680-5. https://doi.org/10.1016/j.drudis.2017.08.010

King RD, Hirst JD, Sternberg MJ. Comparison of artificial intelligence methods for modeling pharmaceutical QSARS. Applied Artificial Intelligence an International Journal. 1995 Mar 1;9(2):213-33. https://doi.org/10.1080/08839519508945474

Chaudhary S, Muthudoss P, Madheswaran T, Paudel A, Gaikwad V. Artificial intelligence (AI) in drug product designing, development, and manufacturing. InA handbook of artificial intelligence in drug delivery 2023 Jan 1 (pp. 395-442). Academic Press. https://doi.org/10.1016/B978-0-323-89925-3.00015-0

Arden NS, Fisher AC, Tyner K, Yu LX, Lee SL, Kopcha M. Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future. International journal of pharmaceutics. 2021 Jun 1;602:120554. https://doi.org/10.1016/j.ijpharm.2021.120554

Shaw J, Rudzicz F, Jamieson T, Goldfarb A. Artificial intelligence and the implementation challenge. Journal of medical Internet research. 2019 Jul 10;21(7):e13659. https://doi.org/10.2196/13659

Published

2025-07-27

How to Cite

Tirumalareddy, N. R. (2025). Role of Artificial Intelligence in Healthcare and Pharmaceutical Sector. UPI Journal of Chemical and Life Sciences, 8(2), 10–16. Retrieved from https://uniquepubinternational.com/journals/index.php/jcls/article/view/134

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Section

Review Article(s)