Results 211 to 220 of about 542,934 (330)
Identification of an age-related monocyte-derived macrophages characteristic genes-based signature for high-grade diffuse glioma. [PDF]
Chen W +10 more
europepmc +1 more source
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
A Review of Risk Matrices Used in Acute Hospitals in England
Gülsüm Kübra Kaya +2 more
openalex +2 more sources
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
Comparison between repeatability, reproductive stage stratified repeatability, and relative risk models for prediction of breeding values for functional survival in rotationally crossbred sows. [PDF]
Poulsen BG +6 more
europepmc +1 more source
A hydrogel–liquid metal composite peripheral nerve interface (HLB‐PNI) combines electrically durable electrodes and tissue‐adhesive hydrogel for tissue‐adaptive implantation. In nerve‐injured rats, it enables the diagnosis of sensory‐motor connectivity via stimulation and neural signal recording.
Yewon Kim +5 more
wiley +1 more source
Social Mixing Patterns and Chikungunya Reemergence Risk in French Polynesia.
Chung KK +14 more
europepmc +1 more source
Generation of rule-based matrices with the matRiks package: a tutorial. [PDF]
Epifania OM +3 more
europepmc +1 more source
Block Copolymers: Emerging Building Blocks for Additive Manufacturing
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson +3 more
wiley +1 more source
Genetic risk predictions using deep learning models with summary data. [PDF]
Wang A, Xiao E, Cheng J, Shen X.
europepmc +1 more source

