Results 201 to 210 of about 162,270 (298)
Impact of pre-existing anti-replicase immunity on the efficacy of self-amplifying mRNA vaccines. [PDF]
Cui X +12 more
europepmc +1 more source
Who Will Protect the Children?
Annals of the Child Neurology Society, EarlyView.
William D. Graf, Leon G. Epstein
wiley +1 more source
ABSTRACT Hemodialysis (HD) patients are at higher risk of severe COVID‐19 and may exhibit suboptimal vaccine responses. This study evaluates the factors influencing vaccine‐induced immunity in HD patients following the second dose of the Vaxzevria. A total of 276 HD patients and 126 controls were included. Antibody responses were assessed using binding
Chia‐Wei Chang +9 more
wiley +1 more source
Next-Generation mRNA Vaccines in Melanoma: Advances in Delivery and Combination Strategies. [PDF]
Zoroddu S, Bagella L.
europepmc +1 more source
The generation of tumor vaccines by adenovirus-enhanced transfection of cytokine genes into tumor cells [PDF]
Berger, M. +8 more
core +1 more source
Linear polyglycerol is proposed as a PEG‐alternative in mRNA‐loaded lipid nanoparticles to limit activation of anti‐PEG antibodies and reduce immunogenicity. Resulting nanoparticles may provide similar gene delivery capabilities, while preventing binding of anti‐PEG antibodies compared to PEGylated counterparts.
Yara Ensminger +8 more
wiley +1 more source
SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade. [PDF]
Grippin AJ +61 more
europepmc +1 more source
Poly(sarcosine) Lipid Synthesis From CO2‐Based Sarcosine‐N‐Carboxyanhydride
In this work, we optimize and scale‐up a CO2‐based synthesis of sarcosine‐N‐carboxyanhydride (Sar‐NCA) to the gram scale. The low toxicity and simplicity of the approach make it an attractive alternative to current toxic phosgene‐based approaches. The CO2‐based Sar‐NCA has sufficient purity for controlled polymerization.
Florian T. Kaps +7 more
wiley +1 more source
Preparation and Immunological Efficacy Evaluation of mRNA Vaccines Targeting the Spike Protein of Bovine Coronavirus. [PDF]
Liu S +16 more
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source

