Results 161 to 170 of about 1,078,683 (343)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner +12 more
wiley +1 more source
COMPOSITION OF THE DESOXYPENTOSE NUCLEIC ACIDS OF FOUR GENERA OF SEA-URCHIN
Erwin Chargaff +2 more
openalex +1 more source
We characterized the distribution of cargo proteins associated with extracellular vesicles using various exogenous loading methods. In all cases, single‐particle analysis revealed that the distribution of protein content per EV is heterogeneous, following an exponential decay function.
Karl Normak +6 more
wiley +1 more source
EFFECTS OF A FOLIC ACID ANTAGONIST ON NUCLEIC ACID METABOLISM
David A. Goldthwait, Aaron Bendich
openalex +1 more source
NUCLEIC ACID SYNTHESIS IN PENICILLIN-TREATED ALCALIGENES FAECALIS [PDF]
Cynthia Lark, Karl G. Lark
openalex +1 more source
This study introduces a novel differentiation protocol for generating corneal stromal keratocyte‐like cells using drop‐on‐demand bioprinting and a collagen‐based hydrogel. The bioprinted constructs maintained a stable dome shape over 21 days while exhibiting upregulated CSK markers postdifferentiation.
Alexandre Taoum +8 more
wiley +1 more source
Nanomaterial‐Enhanced Biosensing: Mechanisms and Emerging Applications
Nanomaterial integration transforms biosensor capabilities through enhanced signal transduction, sensitivity, and selectivity. This review analyzes how nanoscale materials—from nanoparticles to nanosheets—leverage unique physicochemical properties to revolutionize electrochemical, optical, and electrical biosensing.
Younghak Cho +3 more
wiley +1 more source

