Latest AI and machine learning research in public health for healthcare professionals.
OBJECTIVE: Active surveillance (AS) offers a strategy to reduce overtreatment and now is a widely ac...
BACKGROUND: There are limited data on the use of artificial intelligence methods for the diagnosis o...
BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more...
Hepatocellular carcinoma (HCC) is the main cause of mortality in patients with chronic viral hepatit...
OBJECTIVES: This study evaluates the accuracy and portability of a natural language processing (NLP)...
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges fro...
Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, ...
BACKGROUND: Pathogenic Escherichia coli infections cause various diseases in humans and many animal ...
BACKGROUND: Analysing public opinions on HPV vaccines on social media using machine learning based a...
Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective pote...
This paper continues an initiative conducted by the International Society for Disease Surveillance w...
BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...
Quantification of Leishmania infantum load via real-time quantitative polymerase chain reaction (qPC...
Cytochrome P450 (CYP) 2E1 is an important enzyme involved in the metabolism of many endogenous and e...
Originally isolated from swine, the proposed influenza D virus has since been shown to be common in ...
The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based survei...
BACKGROUND: CCR5-coreceptor antagonists can be used for treating HIV-2 infected individuals. Before ...
Limited availability of Indian rhesus macaques (IRM) is a bottleneck to study Zika virus (ZIKV) path...
. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of ...
Estimation of causal effects using observational data continues to grow in popularity in the epidemi...
INTRODUCTION: Data from social media have been shown to have utility in augmenting traditional appro...