Latest AI and machine learning research in public health for healthcare professionals.
Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurrence rates, microbial diversity, biofilm formation, polymicrobial contribution and the rapid emergence of antimicrobial resistance (AMR). Traditional culture-based diagnostic approaches are constrained by high turnaround times and insufficient resolu...
The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technologies. Nanoparticle-based vaccines have emerged as a transformative approach capable of overcoming the major shortcomings of traditional immunization methods. Their nanoscale architecture allows precise antigen targeting, enhanced stability, and contro...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring the need for scalable screening approaches beyond e...
Video anomaly detection plays a crucial role in video surveillance, which identifies suspicious intruders without human intervention. Moreover, the ra...
Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who would significantly benefit from a preventative vac...
BACKGROUND/AIM: Traumatic dental injury (TDI) in the primary dentition represents a significant global public health problem. This study aimed to anal...
BACKGROUND: Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID-19 treatment until resistant variants emerged. GB...
Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promotion and use of human papillomavirus (HPV) vaccinati...
OBJECTIVES: To describe considerations for integration of human and artificial intelligence for creating a postmarketing surveillance system capable o...
Bone is the most common site of distant metastasis in breast cancer (BC), and the development of bone metastasis (BM) is associated with reduced survi...
Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result in significant morbidity, most notably with ocula...
BACKGROUND: Enhancing the capacity to forecast tropical disease transmission, identify key risk factors, and support timely public health responses is...
Epidemiology has been fundamental for analyzing health problems and supporting decision-making in healthcare systems and public health. However, tradi...
Distinguishing smokers from non-smokers and stratifying smokers based on their smoking history/exposure (years) are essential for evaluating the risk ...
Machine learning models built from national health surveys enable population-scale risk stratification, yet the GDPR's "right to be forgotten" mandate...
BACKGROUND: Zero-dose (ZD) children remain a critical public health concern, particularly in low- and lower-middle-income countries (LLMICs), where ov...
OBJECTIVE: To identify the dynamic evolution trajectory of health anxiety in patients with initial rabies exposure and to conduct predictive analysis ...
Malaria remains a significant public health burden in tropical and subtropical regions, where the efficient identification and prediction of risk area...
This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...