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
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
- FWCI
- 35.28
- Percentile
- 100%
- References
- 175
Authors
7Topics & keywords
- Pharmaceutical industry
- Paradigm shift
- Drug discovery
- Quality by Design
- Quality (philosophy)
- Control (management)
- Risk analysis (engineering)
- Pharmaceutical manufacturing