Artificial Intelligence in Pharmaceutical Sciences: An In-Depth Review from Historical Foundations to Future Innovations

Artificial Intelligence (AI) has emerged as a transformative force in pharmaceutical sciences, revolutionizing drug discovery, diagnostics, manufacturing, and personalized medicine. This review explores the historical evolution of AI, its significance in pharmaceutical fields, and its applications in medical devices, diagnostics, manufacturing operations, and research and development (R&D) of dosage forms. Supported by deep scientific literature and current approved inventions, this article also highlights future perspectives, emphasizing AI's potential to address global health challenges and improve patient outcomes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15204206
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Artificial Intelligence in Pharmaceutical Sciences: An In-Depth Review from Historical Foundations to Future Innovations

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
1.50
article

Artificial Intelligence in Pharmaceutical Sciences: An In-Depth Review from Historical Foundations to Future Innovations

article en
1 citations

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in pharmaceutical sciences, revolutionizing drug discovery, diagnostics, manufacturing, and personalized medicine. This review explores the historical evolution of AI, its significance in pharmaceutical fields, and its applications in medical devices, diagnostics, manufacturing operations, and research and development (R&D) of dosage forms. Supported by deep scientific literature and current approved inventions, this article also highlights future perspectives, emphasizing AI's potential to address global health challenges and improve patient outcomes.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Computational Drug Discovery Methods
1.50
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