Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives.
Journal:
Expert opinion on drug metabolism & toxicology
PMID:
38141160
Abstract
INTRODUCTION: The application of Artificial Intelligence (AI) to predictive toxicology is rapidly increasing, particularly aiming to develop non-testing methods that effectively address ethical concerns and reduce economic costs. In this context, Developmental Toxicity (Dev Tox) stands as a key human health endpoint, especially significant for safeguarding maternal and child well-being.