Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) has become an integral component of pharmaceutical sciences, transforming drug discovery, development, and patient care. This review examines the historical context of AI in pharmaceuticals, its current applications, and prospects. The present explore the evolution from early rule-based systems to sophisticated machine-learning techniques that analyze vast datasets, enhancing efficiency and accuracy. Key applications include drug discovery, clinical trial optimization, personalized medicine, and drug manufacturing. However, the integration of AI poses challenges such as data privacy, bias, and regulatory compliance. By addressing these concerns and fostering collaboration among stakeholders, the pharmaceutical industry can harness the full potential of AI to improve patient outcomes and streamline processes. This review highlights AI's ongoing advancements and future directions in pharmaceutical sciences.
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411921176