Latest AI and machine learning research in infectious disease for healthcare professionals.
BACKGROUND: The COVID-19 pandemic has significantly strained health care systems globally, leading t...
BACKGROUND: Distinguishing between non-severe and severe dengue is crucial for timely intervention a...
Training machine learning models using data from severe COVID-19 patients admitted to a central hosp...
The unprecedented worldwide pandemic caused by COVID-19 has motivated several research groups to dev...
The global impact of SARS-CoV-2 has highlighted the urgent need for novel antiviral therapies. This ...
Radiomics is a promising neuroimaging technique for extracting and analyzing quantitative glioma fea...
Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse un...
Identifying and characterizing virulence proteins secreted by Gram-negative bacteria are fundamental...
Mass spectrometry is used to determine infectious microbial species in thousands of clinical laborat...
BACKGROUND: Controlling re-emerging outbreaks such as COVID-19 is a critical concern to global healt...
BACKGROUND: Accurate and timely monitoring of influenza prevalence is essential for effective health...
This review aims to provide an up-to-date overview of the utility of artificial intelligence (AI) in...
BACKGROUND: Combining data-driven natural language processing techniques with traditional methods us...
Dengue fever poses a formidable epidemiological challenge, particularly for vulnerable groups such a...
This review provides a comprehensive exploration of how artificial intelligence (AI) is reshaping me...
The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...
Accurate malaria diagnosis with precise identification of Plasmodium species is crucial for an effec...
BACKGROUND: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been de...
OBJECTIVE: Antimicrobial resistance (AMR), a global threat driven by factors such as improper antimi...
The unprecedented sequencing efforts during the COVID-19 pandemic paved the way for genomic surveill...
BACKGROUND: Amphibians are experiencing substantial declines attributed to emerging pathogens. Effor...