Cardiology | Toxicology CardioDPi: An explainable deep-learning model for identifying cardiotoxic chemicals targeting hERG, Cav1.2, and Nav1.5 channels. May 28, 2024
Toxicology The application of natural language processing for the extraction of mechanistic information in toxicology. May 27, 2024
Analytical Chemistry | Forensic Science | Toxicology 3D-printed portable device for illicit drug identification based on smartphone-imaging and artificial neural networks. May 17, 2024
Drug Development | Toxicology AMPred-CNN: Ames mutagenicity prediction model based on convolutional neural networks. May 16, 2024
Chemistry | Public Health | Toxicology Forecasting vaping health risks through neural network model prediction of flavour pyrolysis reactions. May 8, 2024
Toxicology | Vascular Biology Development of an Automated Morphometric Approach to Assess Vascular Outcomes following Exposure to Environmental Chemicals in Zebrafish. May 3, 2024
Drug Development | Pharmacology | Toxicology A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity. May 3, 2024
Environmental Science | Toxicology Deep Learning Bridged Bioactivity, Structure, and GC-HRMS-Readable Evidence to Decipher Nontarget Toxicants in Sediments. May 2, 2024
Toxicology Expanding Predictive Capacities in Toxicology: Insights from Hackathon-Enhanced Data and Model Aggregation. April 27, 2024
Bioinformatics | Pharmacology | Toxicology Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction. April 18, 2024
Chemistry | Toxicology Classification of substances by health hazard using deep neural networks and molecular electron densities. April 16, 2024