Results 181 to 190 of about 4,140,192 (302)
Evidence-based Medicine Questions Logged by Emergency Medicine Residents On Shift in Relation to American Board of Emergency Medicine Content Areas. [PDF]
Kudrimoti S +8 more
europepmc +1 more source
Protein‐Nanoarchitectures for Low‐Field Intracellular Electro‐Immunomodulation
DHQ‐SDH‐mediated binding of AuNPs drives the formation of interconnected, chain‐like nanoarchitectures with enhanced electrical conductivity. These conductive assemblies undergo macrophage uptake and enable low‐field electrical stimulation, promoting M1‐to‐M2 phenotypic switching with decreased iNOS and increased CD206 expression. Such protein‐mediated
Viktoriya Pakharenko +7 more
wiley +1 more source
Acute complications of nuclear medicine: an emergency medicine perspective. [PDF]
Sutaşır MN +3 more
europepmc +1 more source
Bioinspired Hydrogels with Broadly Programmable Mechanics for Soft‐Tissue Interfaces
Sea cucumber‐inspired gelatin hydrogels are formed by directional freezing and mechanically programmed through subsequent ionic treatment. Multiscale characterization and modeling link ion‐regulated chain interactions to directional load transfer within the aligned hierarchical architecture.
Youchao Teng +20 more
wiley +1 more source
Perceptions Regarding Proposed Changes to ACGME Program Requirements for Emergency Medicine. [PDF]
Lotfi C +6 more
europepmc +1 more source
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
Do or Die: A Rapid-Fire Tabletop Review of "Must Know" Emergency Medicine Pathologies. [PDF]
Yee J +4 more
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source

