Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 61 references that are in the map. First posted on arXiv 5 Jan 2024.
Builds on
2 of 61 references.
References · 2
- 2023Uncovering Regulatory Affairs Complexity in Medical Products: A Qualitative Assessment Utilizing Open Coding and Natural Language Processing (NLP)cited by 2
- 2021Applying a System Dynamics Approach for the Pharmaceutical Industry: Simulation and Optimization of the Quality Control Processcited by 1
Built on by
Citing papers per year: 2024: 1.
1 paper.