Results 161 to 170 of about 176,898 (292)
This review explores how Fusobacterium nucleatum extracellular vesicles drive local oral diseases and distal pathologies via sophisticated cross‐compartment cross talk. It highlights the transformative potential of these “tiny carriers” as next‐generation molecular intermediaries for advanced health monitoring and innovative bio‐interventions by ...
Rongyang Ma +6 more
wiley +1 more source
Shared Clinical Decision-Making Recommendations for Adult Immunization: What Do Physicians Think? [PDF]
Kempe A +9 more
europepmc +1 more source
Abstract Background Vaccination has been proposed as a potential risk factor for autism spectrum disorder (ASD), contributing to public hesitancy and mistrust toward immunization. Influenza vaccination during pregnancy is considered safe and effective in preventing serious maternal complications and adverse birth outcomes associated with influenza ...
Shahar Neeman +4 more
wiley +1 more source
Student Anxiety and Stress Related to Needlestick/Sharps Injuries in Dental Clinics
ABSTRACT Purpose/Objective This study explored how the threat of needlestick/sharps injuries affects stress and anxiety among dental, dental hygiene, and dental assisting students in accredited US programs. It also aimed to identify contributing factors and assess potential educational interventions.
Lindsey C. Billing, Marisa A. Cornewell
wiley +1 more source
A global agenda for older adult immunization in the COVID-19 era: A roadmap for action. [PDF]
Privor-Dumm LA +9 more
europepmc +1 more source
Trends in hospitalizations for vaccine‐preventable diseases in the United States from 2014 to 2024
Abstract Background and Objectives Vaccination rates have declined in recent years, resulting in outbreaks of vaccine‐preventable diseases (VPDs) among children. We aimed to evaluate VPD hospitalization rates from 2014 to 2024 and to report associated trends in outcomes including intensive care utilization, mortality, readmissions, and costs.
Nathan M. Money +5 more
wiley +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source

