Latest AI and machine learning research in public health for healthcare professionals.
Artificial olfactory systems represent biomimetic platforms that emulate biological olfaction for volatile compound detection and discrimination. Biological olfaction achieves efficient perception through the specific binding of volatile molecules to olfactory receptors (OR), odorant-binding proteins (OBPs), and associated chemosensory proteins, followed by neural encoding, providing a theoretical...
BACKGROUND: Vaccination remains one of the most effective public health tools globally. Yet recent years have seen increasing political polarization around vaccination, particularly in the United States, as well as measles outbreaks among unvaccinated children. Using individual-level data, we characterize the national evolution of parental political polarization in childhood vaccination refusal, t...
IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving lower-extremity and head injuries. Despite extensive ...
Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustain...
BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiology by revealing dietary network structures invisi...
Mosquitoes are important vectors of infectious diseases, and accurate species identification is essential for effective surveillance and control. Trad...
This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid e...
This study investigated temporal changes in sleep quality among Chinese boarding high school students across four phases (2019:pre-pandemic baseline, ...
BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a co...
OBJECTIVES: To develop and externally validate an interpretable fusion model combining multi-time-point CT radiomics with clinical-semantic features t...
BACKGROUND: Artificial intelligence and digital health technologies may strengthen Infection Prevention and Control through enhanced surveillance, dec...
Influenza A remains a major cause of respiratory mortality worldwide, motivating accurate forecasting to support timely preparedness and resource allo...
Emerging pandemics are often driven by viral spillover events. However, predicting them remains difficult due to the complex interplay between viral g...
OBJECTIVES: This study aims to develop and evaluate a trustworthy and ethical-by-design machine learning (ML) framework for predicting 5-year cancer s...
The Foot-and-mouth disease virus (FMDV) is a highly contagious pathogen affecting cloven-hoofed animals. Its major structural protein, VP1, serves as ...
Brucellosis, a neglected zoonosis caused by intracellular Brucella bacteria, remains a formidable global public health challenge, especially in develo...
Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn's disease (CD), affecting up to 70% of patients within the fi...
Diagnostic stewardship-performing the right test for the right patient at the right time-improves diagnostic accuracy and reduces healthcare resource ...
BACKGROUND: Global rehabilitation needs far exceed capacity, and artificial intelligence (AI) is proposed to extend access, personalise therapy, and s...
This study investigated the antimicrobial resistance (AMR) profile of Salmonella enterica (n = 446) of poultry origin (n = 1020) collected from West B...