FDA Grand Rounds: Artificial Intelligence for Regulatory Science Research
Thursday, May 14 from 12:00 p.m. – 1:00 p.m.
About the Artificial Intelligence Grand Rounds: Artificial Intelligence (AI) is a broad concept of training machines to think and behave like humans. It consists of a wide range of statistical and machine learning approaches to learn from the existing data/information to predict future outcomes. It has impacted a wide range of scientific disciplines that are important to public health, ranging from clinical diagnosis and prognosis, drug and food safety, disease prevention, precision medicine and nutrition.
The rise of AI has also presented both opportunities and challenges to regulatory agencies, including (1) how to assess and evaluate AI-based products and (2) how to develop and implement AI-based application to improve the agencies functions. This presentation will discuss the current thinking and ongoing efforts at NCTR, with examples from drug and food safety, natural language processing of regulatory documents, and biomarker discovery and development. Also discussed will be the guiding principle and best practice of applying AI in regulatory science research respecting the context of use and fit-for-purpose application.
What you’ll learn from this FDA Animal Scientist:
- The basic principles and methodologies of AI
- Different AI methods
- Ways in which AI methods can be applied for drug and food safety, biomarker development and text mining