Latest AI and machine learning research in infectious disease for healthcare professionals.
One of the most frequent device-associated infections obtained in a hospital setting is catheter-ass...
This systematic literature review with narrative synthesis assessed the diagnostic contribution of c...
Targeting autoinducer-2 (AI-2) quorum sensing (QS) systems with dietary compounds represents a promi...
Breeding for Phytophthora fruit rot (PFR) resistance caused by the devastating pathogen Phytophthora...
Yellow fever virus (YFV) is a re- emerging mosquito- borne flavivirus that causes severe hemorrhagic...
Antimicrobial peptides (AMPs) are small, multifunctional molecules generated by the innate immune sy...
Antiretroviral pre-exposure prophylaxis (PrEP) is less effective in women than expected, partly beca...
A definitive correlate of protection (CoP) for SARS-CoV-2 has yet to be formally established. We pre...
With the accelerated industrialization, the emission of emerging pollutants has increased in aquatic...
The production of fuel ethanol by Saccharomyces cerevisiae is the consequence of the coupling betwee...
Pseudomonas aeruginosa is a major opportunistic pathogen with a remarkable capacity to develop resis...
INTRODUCTION: Natural hosts of simian immunodeficiency virus (SIV), including sooty mangabeys (SMs),...
BACKGROUND & AIMS: Existing hepatocellular carcinoma (HCC) risk scores specific to chronic hepatitis...
Standard durations of direct acting antivirals (DAAs; 8-12 weeks) can be a barrier to HCV treatment ...
Hyaluronic acid (HA) is a biologically versatile polysaccharide synthesized by vertebrates and sever...
AIM: To develop and internally validate a machine learning-based risk scorecard for 1-year pneumonia...
BACKGROUND: Sarcopenia, driven by inflammation and lipid dysregulation, lacks inexpensive screening ...
The increasing limitations of chemical pesticides such as environmental pollution, pathogen resistan...
BACKGROUND: Kawasaki disease (KD) is an acute systemic vasculitis in children, yet its molecular mec...
OBJECTIVE: Electronic health record (EHR) time series are irregularly sampled and frequently incompl...