The Transformative Drug Impact of AI in Pharmaceutical Drug Product Development

Artificial Intelligence (AI) is transforming the pharmaceutical industry by streamlining drug discovery, optimizing clinical trial processes, and advancing personalized medicine. In addition to these innovations, AI is increasingly being applied in pharmaceutical regulatory affairs to automate regulatory submissions and manage documentation more efficiently. This review provides an overview of how AI is currently being utilized in drug development and regulatory processes. It examines significant case studies and recent technological advancements, while also addressing the challenges and regulatory implications of integrating AI in these domains. With the AI-driven drug discovery market experiencing rapid growth [1], it is essential for both industry professionals and academic researchers to understand how AI is being incorporated into pharmaceutical workflows.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-09
DOI
https://doi.org/10.5281/zenodo.17300056
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
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article

The Transformative Drug Impact of AI in Pharmaceutical Drug Product Development

Zenodo (CERN European Organization for Nuclear Research)
Mental Health via Writing
article

The Transformative Drug Impact of AI in Pharmaceutical Drug Product Development

article en

Abstract

Artificial Intelligence (AI) is transforming the pharmaceutical industry by streamlining drug discovery, optimizing clinical trial processes, and advancing personalized medicine. In addition to these innovations, AI is increasingly being applied in pharmaceutical regulatory affairs to automate regulatory submissions and manage documentation more efficiently. This review provides an overview of how AI is currently being utilized in drug development and regulatory processes. It examines significant case studies and recent technological advancements, while also addressing the challenges and regulatory implications of integrating AI in these domains. With the AI-driven drug discovery market experiencing rapid growth [1], it is essential for both industry professionals and academic researchers to understand how AI is being incorporated into pharmaceutical workflows.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Mental Health via Writing
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