Results 261 to 270 of about 3,013,271 (332)
Current SARS‐CoV‐2 vaccines generate short‐lived, strain‐specific immunity. A polymeric TLR7 agonist nanoparticle (TLR7‐NP) adjuvant enhances lymph node targeting and promotes early and sustained germinal center responses toward conserved S2 epitopes of the spike protein.
Sijin Huang +12 more
wiley +1 more source
The effects of declarative learning on early and late motor skill learning. [PDF]
Gupta MW, Rickard TC.
europepmc +1 more source
A Self‐Organized Liquid Reaction Container for Cellular Memory
How cells restore epigenetic information lost during replication is not known. This work proposes a mechanism based on the formation of biomolecular condensates. These condensates are induced by the chromosome itself and serve as reaction vessels for reconstructing missing epigenetic markers.
Sukanta Mukherjee +4 more
wiley +1 more source
Digital Health Communication and Vaccine Confidence in Mexico Using Aggregated Randomized Brand Lift Studies: Secondary Analysis. [PDF]
Muñoz Cordero B +6 more
europepmc +1 more source
A Rationally Engineered Spleen‐Tropic One‐Component Lipid‐mRNA Complex (OncoLRC) for Cancer Vaccines
OncoLRC, a one‐component lipid‐mRNA complex, enables efficient spleen‐targeted delivery at an exceptionally low lipid‐to‐mRNA mass ratio (1.5:1), robustly activates immune responses, inhibits tumor growth, and synergizes with checkpoint blockade, presenting a next‐generation platform for mRNA vaccines.
Qimeng Yin +4 more
wiley +1 more source
Embodied word learning in schools and sustained attention in virtual reality. [PDF]
Rudling M +3 more
europepmc +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park +7 more
wiley +1 more source

