Public Health

Circulating T-cell phenotypes are influenced by prior Staphylococcus aureus exposure in hemodialysis patients.

Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who would significantly benefit from a preventative vaccine. To-date S. aureus vaccine trials have failed, in part due to lack of consideration of pre-existing immune imprints in relevant patient cohorts. Using a machine learning algorithm this study revealed, prior S. aureus exposure in a cohort of 180 ...

Mapping the Global Research Landscape of Traumatic Dental Injuries in the Primary Dentition: A Bibliometric Analysis.

BACKGROUND/AIM: Traumatic dental injury (TDI) in the primary dentition represents a significant global public health problem. This study aimed to analyse the worldwide trends and perspectives on TDI between 2016 and 2026 through bibliomsetric analysis. MATERIALS AND METHODS: A systematic search of the Web of Science Core Collection was conducted using predefined search terms related to TDI and pri...

Randomized, Double-Blind, Placebo-Controlled First-in-Human Trial of a First-in-Class AI-Designed Monoclonal Antibody (GB-0669) Against the Conserved SARS-CoV-2 Spike S2 Stem Helix.

BACKGROUND: Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID-19 treatment until resistant variants emerged. GB...

Global Trends and Insights in Cervical Cancer Research: A Bibliometric Analysis from 2000 to 2024.

Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promotion and use of human papillomavirus (HPV) vaccinati...

Integrating human and artificial intelligence for robust postmarketing safety surveillance systems: reflections from the FDA Sentinel Innovation Center.

OBJECTIVES: To describe considerations for integration of human and artificial intelligence for creating a postmarketing surveillance system capable o...

Machine learning-based prognosis and early death prediction in de novo stage IV breast cancer patients with bone metastasis: a SEER database and multicentre retrospective study.

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...

Tree-based machine learning models recover rule-based flare labels from virtual symptom diaries in pediatric Behçet's disease: an in silico proof-of-concept study.

Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result in significant morbidity, most notably with ocula...

Recent advances in machine learning and Bayesian modeling for tropical disease prediction, diagnosis, and risk analysis: a scoping review.

BACKGROUND: Enhancing the capacity to forecast tropical disease transmission, identify key risk factors, and support timely public health responses is...

[Transformation of Epidemiology in the Age of Artificial Intelligence].

Epidemiology has been fundamental for analyzing health problems and supporting decision-making in healthcare systems and public health. However, tradi...

Raman spectroscopic detection of salivary thiocyanate for smoking exposure stratification.

Distinguishing smokers from non-smokers and stratifying smokers based on their smoking history/exposure (years) are essential for evaluating the risk ...

Machine Unlearning Based on Globally Refined Convergent Clustering for Health Survey Data-driven Prediction Model.

Machine learning models built from national health surveys enable population-scale risk stratification, yet the GDPR's "right to be forgotten" mandate...

Geospatial approaches for mapping zero-dose prevalence and routine childhood immunisation coverage in low- and lower-middle-income countries: A scoping review.

BACKGROUND: Zero-dose (ZD) children remain a critical public health concern, particularly in low- and lower-middle-income countries (LLMICs), where ov...

Analysis of health anxiety trajectories in rabies exposure patients based on machine learning.

OBJECTIVE: To identify the dynamic evolution trajectory of health anxiety in patients with initial rabies exposure and to conduct predictive analysis ...

Geospatial-based surveillance of malaria risk in dar es salaam using a hybrid 3DCNN + LSTM and CA model.

Malaria remains a significant public health burden in tropical and subtropical regions, where the efficient identification and prediction of risk area...

[Chinese guideline for the diagnosis and treatment of hospital-acquired pneumonia and ventilator-associated pneumonia in adults (2026 edition): protocol].

This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis and Treatment of Hospital-Acquired Pneumonia and V...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although S...

Modeling multidimensional perceived risk in HIV-related social media: a multi-label transformers framework with longitudinal analysis.

This paper presents a supervised multi-label framework for detecting multidimensional perceived risk in HIV-related Reddit discourse. A longitudinal c...

Deep learning-based malignancy probability estimation of pulmonary nodules in PET/CT imaging.

OBJECTIVE: The current BTS guidelines recommend evaluation of suspicious pulmonary nodules using [18F]FDG-PET/CT imaging, followed by Herder model ris...

Periodic surveillance of intraductal papillary mucinous neoplasms: gaps in evidence and future directions.

Intraductal papillary mucinous neoplasm (IPMN) is a well-established precursor to pancreatic cancer; however, its generally indolent biological behavi...

Characterizing spatiotemporal spread of infectious diseases using ellipse-shaped transmission hotspots: application to dengue virus outbreaks.

BACKGROUND: Identifying transmission hotspots associated with micro-clustering patterns at the early stages of epidemics is helpful to characterize sp...