Scientific Reports, 2021 While vaccines remain the best tool for preventing influenza virus infections, they have demonstrated low to moderate effectiveness in recent years. Seasonal influenza vaccines typically consist of wild-type influenza A and B viruses that are limited in ...
James D. Allen, Ted M. Ross
doaj +1 more source
Impact of communicative and informative strategies on influenza vaccination adherence and absenteeism from work of health care professionals working at the university hospital of palermo, Italy: A quasi-experimental field trial on twelve influenza seasons [PDF]
, 2019 Every year, about 20% of health care workers (HCWs) acquire influenza, continuing to work and encouraging virus spreading. Influenza vaccination coverage rates and absenteeism from work among HCWs of the University Hospital (UH) of Palermo were analyzed ...
Bono S. +8 more
core +1 more source
Time‐Controlled Dual Targeting to Program Systemic and Intercellular Transfer of Therapeutic Effects
Advanced Functional Materials, EarlyView.Aspirin‐liposomes loaded onto monocytes enable inflammation‐triggered targeting and efficient hand‐over of aspirin to inflamed cells. Monocytes uptake a significant portion of aspirin‐liposomes, prolonging therapeutic action. This approach enhances anti‐inflammatory effects through intercellular transfer, demonstrating a translational strategy for ...
Seung Eun Yu +6 more
wiley +1 more source
Agent-based model of the impact of higher influenza vaccine efficacy on seasonal influenza burden
Vaccine: X, 2023 Introduction: Current influenza vaccines have limited effectiveness. COVID-19 vaccines using mRNA technology have demonstrated very high efficacy, suggesting that mRNA vaccines could be more effective for influenza. Several such influenza vaccines are in
Mary G. Krauland +6 more
doaj
Electric Pulse Regulated MXene Based Nanozymes for Integrative Bioelectricity Immuno‐Cancer Therapy
Advanced Functional Materials, EarlyView.MXenzyme‐mediated bioelectricity cancer therapy (MXenzyme‐BECT) enhances cancer cell death through irreversible depolarization, ion channel disruption, ROS generation, and immunogenic cell death. Computational simulations reveal the electrical mechanisms by which MXenzyme acts on single cells and support to predict treatment parameters. Next‐generation
Sanghee Lee +6 more
wiley +1 more source
Development of cross-protective influenza A vaccines based on cellular responses
Frontiers in Immunology, 2015 Seasonal influenza vaccines provide protection against matching influenza A virus (IAV) strains mainly through the induction of neutralizing serum IgG antibodies. However, these antibodies fail to confer a protective effect against mismatched IAV.
Peter Christiaan Soema +5 more
doaj +1 more source
Advances in influenza vaccination [PDF]
F1000Prime Reports, 2014 Influenza virus infections yearly cause high morbidity and mortality burdens in humans, and the development of a new influenza pandemic continues to threaten mankind as a Damoclean sword. Influenza vaccines have been produced by using egg-based virus growth and passaging techniques that were developed more than 60 years ago, following the ...
Albert D. M. E. Osterhaus +2 more
openaire +3 more sources
Patent Landscape of Influenza A Virus Prophylactic Vaccines and Related Technologies [PDF]
, 2012 Executive Summary: This report focuses on patent landscape analysis of technologies related to prophylactic vaccines targeting pandemic strains of influenza.
Barton, Jeremy +5 more
core +1 more source
Overview of Serological Techniques for Influenza Vaccine Evaluation: Past, Present and Future [PDF]
, 2014 Serological techniques commonly used to quantify influenza-specific antibodies include the Haemagglutination Inhibition (HI), Single Radial Haemolysis (SRH) and Virus Neutralization (VN) assays.
Callow +30 more
core +3 more sources
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
Advanced Functional Materials, EarlyView.This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source