Regulatory Science | Toxicology ToxAIcology – The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science. October 27, 2023
Regulatory Science | Toxicology DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application. August 26, 2023
Regulatory Science | Toxicology Implementing comprehensive machine learning models of multispecies toxicity assessment to improve regulation of organic compounds. June 30, 2023
Biomedical Sciences | Regulatory Science Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury. November 25, 2022
Regulatory Science Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review. November 13, 2022
Food Science | Regulatory Science The menace of saffron adulteration: Low-cost rapid identification of fake look-alike saffron using Foldscope and machine learning technology. August 29, 2022
Regulatory Science | Toxicology PreS/MD: Predictor of Sensitization hazard for chemical substances released from Medical Devices. August 2, 2022
Pharmacology | Regulatory Science BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk. December 23, 2021