CVS Health, USA.
International Journal of Science and Research Archive, 2025, 14(02), 451-460
Article DOI: 10.30574/ijsra.2025.14.2.0283
Received on 17 December 2024; revised on 02 February 2025; accepted on 05 February 2025
The pharmaceutical industry is experiencing a transformative revolution through the integration of advanced analytics capabilities across its value chain. This comprehensive article explores how data-driven methodologies and analytical tools are revolutionizing various aspects of pharmaceutical operations, from drug discovery to patient care. The article encompasses computational drug discovery, clinical trial optimization, manufacturing analytics, supply chain optimization, personalized medicine, sustainability analytics, and technical infrastructure requirements. The implementation of artificial intelligence, machine learning, and big data analytics has significantly improved operational efficiency, reduced costs, enhanced quality control, and accelerated drug development processes. These technological advancements have enabled more precise patient stratification, improved treatment outcomes, and fostered sustainable manufacturing practices while ensuring regulatory compliance and data security.
Pharmaceutical Analytics; Artificial Intelligence; Drug Discovery; Manufacturing Optimization; Personalized Medicine
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Venkata Siva Prasad Maddala. Analytics revolution in pharmaceutical industry: A technical perspective. International Journal of Science and Research Archive, 2025, 14(02), 451-460. Article DOI: https://doi.org/10.30574/ijsra.2025.14.2.0283.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0