Artificial Intelligence | Genomics | Infectious Disease On leveraging self-supervised learning for accurate HCV genotyping. July 4, 2024
Anesthesiology | Infectious Disease | Medical Imaging Video-based automatic hand hygiene detection for operating rooms using 3D convolutional neural networks. June 19, 2024
Infectious Disease | Radiology A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection. June 18, 2024
Infectious Disease | Medical Informatics O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies. January 31, 2024
Bioinformatics | Infectious Disease | Oncology Multi-modal features-based human-herpesvirus protein-protein interaction prediction by using LightGBM. January 27, 2024
Data Science | Emergency Medicine | Infectious Disease A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals. January 26, 2024
Bioinformatics | Infectious Disease | Machine Learning Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation. January 16, 2024
Infectious Disease | Pathology Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization. January 10, 2024
Epidemiology | Infectious Disease | Public Health Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets. December 8, 2023
Immunology | Infectious Disease | Machine Learning Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers. November 28, 2023
Infectious Disease | Microbiology Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis. November 16, 2023
Infectious Disease | Machine Learning | Public Health Detecting the most critical clinical variables of COVID-19 breakthrough infection in vaccinated persons using machine learning. November 8, 2023