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  					Artificial Intelligence (AI) Program for Toxicology at NCTR
	
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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**: 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**: To develop novel deep learning methods for toxicological endpoints that are critical to the safety review of drug candidates before entering clinical trials.







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

                                                                                  Content current as of:
      07/07/2022NCTR Research Focus Areas
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