Leveraging Artificial Intelligence in Drug and Biological Product Development: An FDA and Clinical Trial Transformation Initiative Workshop Report
Artificial intelligence (AI) holds immense potential to transform drug development by improving the efficiency and accuracy of key processes across the drug product life cycle. However, the scalable adoption of this technology may be influenced by new and unique challenges. The U.S. Food and Drug Administration collaborated with the Clinical Trial Transformation Initiative to organize a public workshop on Artificial Intelligence in Drug and Biological Product Development in August 2024 with medical product sponsors, technology innovators, academicians, and regulators to discuss guiding principles for the use of AI in drug and biological product development in order to realize its transformative potential. This article synthesizes key insights from the workshop and discusses the emerging current need for policy development to enhance the integration of AI in drug and biological product development.
Authors
- Marsha E. Samson (ORCID: https://orcid.org/0000-0002-8634-2911)
- Tala Fakhouri (ORCID: https://orcid.org/0000-0002-0523-3466)
- Anindita Saha (ORCID: https://orcid.org/0000-0003-0306-4264)
- M. Khair ElZarrad (ORCID: https://orcid.org/0009-0005-2558-6989)
- Gabriel K. Innes (ORCID: https://orcid.org/0000-0002-8206-3608)
- Morgan Hanger (ORCID: https://orcid.org/0000-0003-0577-2416)
- Qi Liu (ORCID: https://orcid.org/0000-0002-4053-4213)
- Atasi Poddar (ORCID: https://orcid.org/0009-0004-1393-669X)
- Kelly Franzetti (ORCID: https://orcid.org/0009-0007-7210-3892)
Institutions
- Center for Drug Evaluation and Research (US)
- AIDS Clinical Trials Group (US)
Publication Details
- Journal
- NEJM AI
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1056/aipc2500801
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00