U.S. flag An official website of the United States government
  1. Home
  2. About FDA
  3. FDA Organization
  4. Office of the Commissioner
  5. Office of the Chief Scientist
  6. National Center for Toxicological Research
  7. Science & Research (NCTR)
  8. NCTR Research Focus Areas
  9. Artificial Intelligence
  1. NCTR Research Focus Areas

Artificial Intelligence

Artificial Intelligence (AI) Program for Toxicology at NCTR



An FDA Artificial Intelligence (AI) Program for Toxicology

Weida Tong, Ph.D., Director, Division of Bioinformatics and Biostatistics

AI4TOX is a program that aims to apply the most advanced AI methods to develop new tools to support FDA regulatory science and strengthen the safety review of FDA-regulated products. The program consists of 4 initiatives:


AnimalGAN Logo

AnimalGAN: To predict animal toxicology data for untested chemicals through learning models that leverage existing animal data in support of the 3Rs approach (replace, reduce, and/or refine animal studies) in the safety evaluation of FDA-regulated products.


SafetAI Logo

SafetAI: To develop novel deep learning methods for toxicological endpoints that are critical to the safety review of drug candidates before entering clinical trials. 


BERTox Logo


BERTox: To develop the most advanced AI-powered Natural Language Processing (NLP) to facilitate analysis of FDA documents and public literature for improved efficiency and accuracy of information retrieval and toxicity assessment. 


PathologAI Logo

PathologAI: To develop an effective and accurate framework for analysis of histopathological data from animal studies to facilitate digital pathology in preclinical application.


The products from these research endeavors will undergo evaluation with a focus on their potential suitability to support regulatory decision-making at FDA.

Subscribe to receive info on NCTR Bioinformatics Tools

Get regular FDA email updates delivered on this topic to your inbox.

Back to Top