Latest AI and machine learning research in public health for healthcare professionals.
BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China, accounting for 48.98% and 47.35% of mortality in rural and urban populations, respectively, affecting approximately 330Â million individuals. Existing risk stratification models predominantly derive from Western populations, with the Framingham Risk Equation systematically overestimating cardiovascu...
Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed online is therefore important for anticipating potential reactions-such as acceptance or hesitancy-toward vaccines that may be deployed in future outbreaks. This study examines public perceptions of the medium-term side effects of COVID-19 vaccines ...
Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have applied high-resolution environmental data and ad...
The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...
The coronavirus disease 2019 (COVID-19) pandemic has stimulated extensive endeavors toward the development of therapeutic interventions targeting seve...
Timely access to reliable public health data is a critical determinant of effective response to health emergencies, including disease outbreaks, clima...
Hypertension is the second leading cause of heart failure (HF), yet strategies for identifying hypertensive individuals at increased HF risk remain li...
Mathematical modeling has become an indispensable tool for understanding, predicting, and controlling the spread of infectious diseases. Over the year...
The globally distributed zoonotic protozoan parasite Toxoplasma gondii presents escalating conservation and public health challenges through expanding...
The malnutrition-based chronic disease (MBCD) model for use in adults to optimize nutrition care is a framework based on epidemiological classifiers, ...
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approximately 25-30 % of cases exhibiting a familial compo...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagnostics and disease surveillance to the prediction o...
Artificial Intelligence (AI) has the potential to revolutionize biosecurity, health security, biodefense, and pandemic preparedness by offering ground...
Ease of access to big data and automated analysis tools can facilitate the rapid generation of poorly designed epidemiological studies, which collecti...
Emerging research links the gut, skin, and oral microbiomes to allergies, with serine proteases (SPs) identified as potential allergens. This study le...
Air pollution (AP), intensified by industrialization and urbanization, is a key environmental factor linked to rheumatoid arthritis (RA). However, its...
OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, emplo...
INTRODUCTION: Active post-vaccination surveillance is vital for ensuring vaccine safety, particularly in monitoring Adverse Events of Special Interest...
Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to ...
BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) have accelerated the development of data-driven he...