Chemistry | Pharmaceutical Sciences Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy. June 18, 2024
Computational Biology | Drug Discovery | Oncology MMSyn: A New Multimodal Deep Learning Framework for Enhanced Prediction of Synergistic Drug Combinations. April 27, 2024
Bioinformatics | Computational Chemistry | Pharmacology Large-scale comparison of machine learning methods for profiling prediction of kinase inhibitors. January 30, 2024
Artificial Intelligence | Neurology | Radiology An artificial intelligence-based prognostic prediction model for hemorrhagic stroke. September 16, 2023
Bioinformatics | Drug Development | Pharmacology DEEPCYPs: A deep learning platform for enhanced cytochrome P450 activity prediction. April 27, 2023
Bioinformatics | Chemistry | Pharmacology A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors. October 29, 2022
Bioinformatics | Oncology | Pharmacology Ligand- and structure-based identification of novel CDK9 inhibitors for the potential treatment of leukemia. September 10, 2022
Neurology | Radiology Defining Delayed Perihematomal Edema Expansion in Intracerebral Hemorrhage: Segmentation, Time Course, Risk Factors and Clinical Outcome. May 26, 2022
Neurology | Radiology WSO EXPRESS: Weakly Supervised Multitask Learning Models to Identify Symptom Onset Time of Intracerebral Hemorrhage with Unclear Onset. September 27, 2021