Regulatory Science | Toxicology DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory application. August 26, 2023
Pathology | Toxicology A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study. August 4, 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
Entomology | Food Science | Machine Learning Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning. August 29, 2022
Medicine Best practice and reproducible science are required to advance artificial intelligence in real-world applications. July 18, 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
Drug Development | Environmental Chemistry | Toxicology DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation. December 6, 2021
Data Science | Natural Language Processing | Pharmacology DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction. August 19, 2021
Chemical Research | Toxicology Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets. January 29, 2021
Drug Development | Pharmacology | Toxicology DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level Representation. December 28, 2020
Drug-induced liver injury (DILI) | Pharmacology | Transcriptomics Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury. December 17, 2020