APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN THE PHARMACEUTICAL INDUSTRY

Authors

  • Vama Sharma M.Pharm (Pharmaceutics), Teerthankar Mahavir University, Mooradabad
  • Dr. Mahesh Kumar Sharma Professor and Head of Department Amrapali University, Haldwani

DOI:

https://doi.org/10.5281/zenodo.15788841

Keywords:

Artificial Intelligence, Machine Learning, Drug Discovery, Clinical Trials, Pharmaceutical Industry, Digital Transformation

Abstract

The pharmaceutical sector is experiencing a significant transformation due to the incorporation of artificial intelligence (AI) technologies throughout the entire drug development process. This review analyses the existing applications, emerging trends, and future possibilities of AI within pharmaceutical research and development. AI is changing traditional methods by improving efficiency, cutting costs, and speeding up the time for new therapeutics to reach the market, affecting everything from drug discovery and clinical trials to manufacturing and post-market surveillance. This paper offers a detailed exploration of AI applications in the pharmaceutical industry, emphasizing key technologies, challenges, and potential opportunities that lie ahead.

References

I. Coherent Solutions. (2025, April 15). AI in Pharma and Biotech: Market Trends 2025 and Beyond. Retrieved from https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations

II. Viseven Group. (2025, April 10). AI in Pharma & Life Sciences: Transforming 2025 and Beyond. Retrieved from https://viseven.com/artificial-intelligence-in-pharma-industry/

III. Scilife. (2025, February 20). AI in Pharma: Innovations and Challenges. Retrieved from https://www.scilife.io/blog/ai-pharma-innovation-challenges

IV. ZS Associates. (2025, May 12). Pharmaceutical industry trends 2025, outlook and strategies. Retrieved from https://www.zs.com/insights/pharmaceutical-trends-2025-outlook-ai-supplychain-and-beyond

V. The Pharmaceutical Journal. (2025, April 17). How AI is transforming drug discovery. Retrieved from https://pharmaceutical-journal.com/article/feature/how-ai-is-transforming-drug-discovery

VI. Drug Target Review. (2024, December 20). How AI will reshape pharma in 2025. Retrieved from https://www.drugtargetreview.com/article/154981/how-ai-will-reshape-pharma-by-2025/

VII. Clinical Trials Arena. (2025, June 26). How AI and machine learning are transforming drug discovery. Retrieved from https://www.clinicaltrialsarena.com/sponsored/how-ai-and-machine-learning-are-transforming-drug-discovery/

VIII. World Economic Forum. (2025, January). How 2025 can be a pivotal year of progress for Biopharma. Retrieved from https://www.weforum.org/stories/2025/01/2025-can-be-a-pivotal-year-of-progress-for-pharma/

IX. U.S. Food and Drug Administration. (2024). Artificial Intelligence for Drug Development. Center for Drug Evaluation and Research. Retrieved from https://www.fda.gov/about-fda/center-drug-evaluation-and-research-cder/artificial-intelligence-drug-development

X. ACCC Cancer Center. (2024, December 20). Harnessing Artificial Intelligence in Drug Discovery and Development. Retrieved from https://www.accc-cancer.org/acccbuzz/blog-post-template/accc-buzz/2024/12/20/harnessing-artificial-intelligence-in-drug-discovery-and-development

XI. Kumar, A., et al. (2024). Harnessing the power of artificial intelligence in pharmaceuticals: Current trends and future prospects. ScienceDirect. Retrieved from https://www.sciencedirect.com/science/article/pii/S2949866X24001217

XII. Chen, L., et al. (2024). Artificial intelligence-driven pharmaceutical industry: A paradigm shift in drug discovery, formulation development, manufacturing, quality control, and post-market surveillance. European Journal of Pharmaceutical Sciences. Retrieved from https://www.sciencedirect.com/science/article/pii/S0928098724002513

XIII. Rodriguez, M., et al. (2025). The future of pharmaceuticals: Artificial intelligence in drug discovery and development. ScienceDirect. Retrieved from https://www.sciencedirect.com/science/article/pii/S2095177925000656

XIV. Smith, J., et al. (2024). How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons. ScienceDirect. Retrieved from https://www.sciencedirect.com/science/article/pii/S135964462400134X

XV. Patel, R., et al. (2023). Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design. PMC. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC10385763/

XVI. Johnson, K., et al. (2024). Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine. PMC. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC11510778/

XVII. Grand View Research. (2024). Artificial Intelligence In Drug Discovery Market Report, 2030. Retrieved from https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-drug-discovery-market

XVIII. CAS (Chemical Abstracts Service). (2022, September 23). AI drug discovery: assessing the first AI-designed drug candidates for humans. Retrieved from https://www.cas.org/resources/cas-insights/ai-drug-discovery-assessing-the-first-ai-designed-drug-candidates-to-go-into-human-clinical-trials

Additional Files

Published

01-06-2025

How to Cite

Vama Sharma, & Dr. Mahesh Kumar Sharma. (2025). APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN THE PHARMACEUTICAL INDUSTRY. International Educational Journal of Science and Engineering, 8(6). https://doi.org/10.5281/zenodo.15788841