Latest AI and machine learning research in vaccines for healthcare professionals.
PURPOSE OF REVIEW: Machine learning predictive modeling can support scalable prevention of suicide-related behavior (SRB). SAFEGUARD is a three-pronged universal, indicated, and clinical SRB-prevention intervention system focused on key military career touchpoints. RECENT FINDINGS: The targeted SAFEGUARD interventions are designed to improve on the mixed results of universal interventions. Level U...
Rabies disease is the deadliest of all virus infections. Till now, vaccination is the most effective and reliable treatment for controlling rabies. However, despite the high efficiency of inactivated vaccines, multiple-dose vaccinations and the high costs of post exposure prophylaxis cause a large economic burden, especially in tropical regions with limited storages of vaccines. New platforms of R...
The precise identification of cancer driver mutations is essential for precision oncology; however, it remains a significant challenge because of the ...
Social media discourse has the capacity to influence public perceptions of health-related issues. Understanding how vaccine side effects are discussed...
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...
Chromatographic technology is the core of downstream separation and purification of biological macromolecules and bioparticles. In recent years, with ...
Mask reconstruction-based unsupervised multivariate time series anomaly detection (MTSAD) methods employ mask operations to model fine-grained local d...
Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...
Emerging research links the gut, skin, and oral microbiomes to allergies, with serine proteases (SPs) identified as potential allergens. This study le...
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 ...
High-pressure hydrogen storage vessels type IV (HPV), made from carbon fiber-reinforced composites, are essential for hydrogen-powered applications du...
Introduction. Misinformation is a barrier to immunization. The objective was to describe and categorize vaccine-related myths reported by healthcare p...
BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally...
PURPOSE: Immunohistochemistry (IHC) is a crucial step in the diagnostic and therapeutic management of colorectal carcinoma (CRC). This study aimed to ...
Many non-model rodent species are inaccessible to genetic engineering due to our limited understanding of their reproductive biology. Here, we present...
Klebsiella oxytoca is a clinically significant opportunistic bacterium that contributes to global morbidity and mortality. Despite its clinical releva...