Bioinformatics | Computational Biology | Oncology DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. April 28, 2024
COVID-19 | Machine Learning | Radiology Machine learning for medical imaging-based COVID-19 detection and diagnosis. April 12, 2024
Anomaly Detection | Data Science | Machine Learning Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. November 14, 2023
Public Health | Radiology A comprehensive review of federated learning for COVID-19 detection. July 31, 2023
Bioinformatics | Oncology | Precision Medicine Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity. July 28, 2023
Bioinformatics | Computational Biology Benchmarking of computational methods for predicting circRNA-disease associations. January 7, 2023
Infectious Diseases | Pharmacology New Insights Into Drug Repurposing for COVID-19 Using Deep Learning. September 21, 2021
Cellular Biology | Immunology Tracking leukocytes in intravital time lapse images using 3D cell association learning network. August 20, 2021
Cardiology | Medical Informatics Mortality Prediction of Patients With Cardiovascular Disease Using Medical Claims Data Under Artificial Intelligence Architectures: Validation Study. April 1, 2021
Bioinformatics | Computational Biology | Disease Pathology LDICDL: LncRNA-disease association identification based on Collaborative Deep Learning. October 30, 2020
Biomedical Science | Immunology Tracking Neutrophil Migration in Zebrafish Model Using Multi-Channel Feature Learning. August 27, 2020
Drug Discovery | Pharmaceutical Science Prediction of drug adverse events using deep learning in pharmaceutical discovery. April 29, 2020