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  1. NCTR Research Focus Areas

Artificial Intelligence

Artificial Intelligence (AI) Program for Toxicology at NCTR

 

AI4TOX Logo

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 5 initiatives:

AnimalGAN Logo

 

AnimalGAN: To develop virtual animal models as digital twins for predicting toxicological outcomes of untested compounds with generative AI (GenAI), supporting the 3Rs principle (replacement, reduction, and refinement of animal studies) in the safety assessment of FDA-regulated products.

SafetAI Logo

SafetAI: To develop a suite of AI models for evaluating toxicological endpoints critical to the safety assessment of drug candidates prior to clinical trials with innovative AI methodologies.

 

BERTox Logo

BERTox: To develop or utilize the most advanced AI-powered Natural Language Processing (NLP) and Large Language Models (LLMs) to facilitate analysis of FDA documents and public literature for improved efficiency and accuracy in regulatory science and review processes. 

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.

 

TranslAI: To develop GenAI models that support translational research by facilitating the translation of experimental findings across domains such as organ systems, IVIVE, and genomic technologies.

TranslAI: To develop generative AI (GenAI) models that support translational research by facilitating the translation of experimental findings across domains such as organ systems, in vitro-to-in vivo extrapolation (IVIVE), and genomic technologies.

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