Imaging | Oncology | Toxicology Machine learning-assisted high-content imaging analysis of 3D MCF7 microtissues for estrogenic effect prediction. February 5, 2024
Chemical Engineering | Toxicology Computational modeling approaches for developing a synergistic effect prediction model of estrogen agonistic activity. December 13, 2023
Bioinformatics | Endocrinology | Toxicology CatNet: Sequence-based deep learning with cross-attention mechanism for identifying endocrine-disrupting chemicals. November 28, 2023
Oncology | Toxicology Machine Learning-Assisted High-Content Imaging Analysis of 3D MCF7 Microtissues for Estrogenic Effect Prediction. October 27, 2023
Reproductive Medicine | Toxicology Predicting chemicals’ toxicity pathway of female reproductive disorders using AOP7 and deep neural networks. September 8, 2023
Environmental Toxicology Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health. July 26, 2019