Results 241 to 250 of about 777,793 (384)
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
Whole-genome paternal uniparental disomy identified through prenatal single-nucleotide polymorphism-based cell-free DNA screening. [PDF]
Benn P +5 more
europepmc +1 more source
Fissuras em aterros sobre solos moles: abordagens, mecanismo e influências
Alison de Souza Norberto +3 more
openalex +2 more sources
Spark plasma sintering enables rapid processing of porous organic polymer (POP) from fine powders to a freestanding and mechanically robust monolith. The sintering process retains the CO2 adsorption capacity and CO2/N2 selectivity, making the monolith more suitable as a solid sorbent for practical carbon capture applications.
Duan Li +4 more
wiley +1 more source
Influence of hydration and dehydration on mitosis
Jadwiga Molè-Bajer
doaj +1 more source
Pregnancy-Associated Cardiomyopathy in a Late-Diagnosed Partial Hydatidiform Mole: A Case Report. [PDF]
Uehlein S +7 more
europepmc +1 more source
Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge +6 more
wiley +1 more source
Experimental studies on protein spindles
J. Mole-Bajer
doaj +1 more source
Exploring CO<sub>2</sub> solubility in 1-N-butyl-3-methylimidazolium hexafluorophosphate ionic liquid using neural network models. [PDF]
Masoumi H, Daryayehsalameh B, Ghaemi A.
europepmc +1 more source

