reviewEuropean Journal of Pharmaceutical SciencesOct 16, 2024GOLD OA

Artificial intelligence-driven pharmaceutical industry: A paradigm shift in drug discovery, formulation development, manufacturing, quality control, and post-market surveillance

Rangsit University · Thammasat University · +3 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

The advent of artificial intelligence (AI) has catalyzed a profound transformation in the pharmaceutical industry, ushering in a paradigm shift across various domains, including drug discovery, formulation development, manufacturing, quality control, and post-market surveillance. This comprehensive review examines the multifaceted impact of AI-driven technologies on all stages of the pharmaceutical life cycle. It discusses the application of machine learning algorithms, data analytics, and predictive modeling to accelerate drug discovery processes, optimize formulation development, enhance manufacturing efficiency, ensure stringent quality control measures, and revolutionize post-market surveillance…

Citation impact

107
total citations
FWCI
35.28
Percentile
100%
References
175
Citations per year

Authors

7

Topics & keywords

Keywords
  • Pharmaceutical industry
  • Paradigm shift
  • Drug discovery
  • Quality by Design
  • Quality (philosophy)
  • Control (management)
  • Risk analysis (engineering)
  • Pharmaceutical manufacturing
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