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