Semantic Scholar Open Access 2024 77 sitasi

The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance.

Kampanart Huanbutta K. Burapapadh P. Kraisit P. Sriamornsak Thittaporn Ganokratana +2 lainnya

Abstrak

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 methodologies. By describing the advancements, challenges, and future prospects of harnessing AI in the pharmaceutical landscape, this review offers valuable insights into the evolving dynamics of drug development and regulatory practices in the era of AI-driven innovation.

Topik & Kata Kunci

Penulis (7)

K

Kampanart Huanbutta

K

K. Burapapadh

P

P. Kraisit

P

P. Sriamornsak

T

Thittaporn Ganokratana

K

Kittipat Suwanpitak

T

T. Sangnim

Format Sitasi

Huanbutta, K., Burapapadh, K., Kraisit, P., Sriamornsak, P., Ganokratana, T., Suwanpitak, K. et al. (2024). The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance.. https://doi.org/10.1016/j.ejps.2024.106938

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
77×
Sumber Database
Semantic Scholar
DOI
10.1016/j.ejps.2024.106938
Akses
Open Access ✓