Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry
Yu Han, Jingwen Tao

TL;DR
This paper critically reviews emerging AI and LLM trends in the pharmaceutical industry, highlighting their transformative impact across research, clinical trials, production, and regulatory processes.
Contribution
It provides a comprehensive overview of AI applications and advancements in pharma, emphasizing the transformative potential of machine learning technologies.
Findings
AI enhances drug discovery and development processes
Improves efficiency in clinical trials and regulatory compliance
Transforms pharmaceutical manufacturing and quality control
Abstract
This document offers a critical overview of the emerging trends and significant advancements in artificial intelligence (AI) within the pharmaceutical industry. Detailing its application across key operational areas, including research and development, animal testing, clinical trials, hospital clinical stages, production, regulatory affairs, quality control and other supporting areas, the paper categorically examines AI's role in each sector. Special emphasis is placed on cutting-edge AI technologies like machine learning algorithms and their contributions to various aspects of pharmaceutical operations. Through this comprehensive analysis, the paper highlights the transformative potential of AI in reshaping the pharmaceutical industry's future.
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Taxonomy
TopicsBiomedical and Engineering Education · Computational Drug Discovery Methods · Genetics, Bioinformatics, and Biomedical Research
