Revolutionizing pharmaceutical innovation through artificial intelligence: Transforming drug discovery and development
Anju Verma, Tanya Dubey, Ashish Pandey, Pankaj Kumar Sonar
Abstract
Artificial intelligence (AI) has become an effective tool that leverages personal information to deliver faster solutions to complex problems. A revolutionary approach to drug discovery, formulation, and dosage form testing is presented by promising advances in machine learning and AI. The pharmaceutical industry increasingly uses it to revolutionize drug development at all stages, from discovery to post-market surveillance. Drug development is being revolutionized by AI-driven techniques that make it possible to analyse enormous biological datasets, predict drug-target interactions, and find promising candidates more quickly and precisely than with conventional methods. The pharmaceutical industry is significantly impacted by drug research and discovery, which also has an impact on some human health issues. Despite the promising benefits, there are drawbacks to using AI as well, such as the requirement for regulatory frameworks, data protection issues, and integrating AI with current systems. In the pharmaceutical sector, AI has the potential to significantly increase innovation, lower expenses, and improve patient outcomes.
Keywords
References
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Submitted date:
06/14/2026
Reviewed date:
08/04/2026
Accepted date:
08/09/2026
Publication date:
08/09/2026
