Latest AI and machine learning research in infectious disease for healthcare professionals.
Living kidney donors typically experience approximately a 30% reduction in kidney function after don...
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...
The advancement of clinical natural language processing systems is crucial to exploit the wealth of ...
Understanding SARS-CoV-2 human protein-protein interactions (PPIs) and the host response to infectio...
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...
The gradual research in integrating artificial intelligence in the Dielectrophoresis system is rapid...
Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine met...
BACKGROUND: Tuberculosis (TB) remains a significant global health challenge, as current diagnostic m...
Artificial intelligence (AI) has been applied to early recognition and management of rapidly progres...
BACKGROUND: Cytomegalovirus (CMV) reactivation in patients with severe ulcerative colitis (UC) leads...
The exploration of dielectric materials with a specific permittivity remains a significant challenge...
UNLABELLED: This study presents the first label-free impedimetric biosensor for the detection of HIV...
BACKGROUND: The application of artificial intelligence (AI) in medicine has garnered significant att...
Once deployed, medical image analysis methods are often faced with unexpected image corruptions and ...
OBJECTIVE AND DESIGN: This study aims to identify key genes of sepsis and construct a model for seps...
The papain-like protease (PLpro), a cysteine protease found in severe acute respiratory syndrome cor...
Soil-transmitted helminths primarily comprise Ascaris lumbricoides, Trichuris trichiura, and hookwor...
BACKGROUND: Influenza in mainland China results in a large number of outpatient and emergency visits...
BACKGROUND: Early warning scores (EWS) are used for monitoring and evaluating vital signs in hospita...
Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...
Antibodies are crucial for medical applications, yet traditional methods for designing sequences are...