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
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees. [PDF]
Fokkema M, Zeileis A.
europepmc +1 more source
Two‐Dimensional Materials as a Multiproperty Sensing Platform
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana +11 more
wiley +1 more source
Spatial-temporal patterns and predictors of timing and inadequate antenatal care utilization in Zambia: A Generalized Linear Mixed Model (GLMM) investigation from 1992 to 2018. [PDF]
Shumba S, Fwemba I, Kaymba V.
europepmc +1 more source
Precursor‐ and solvent‐mediated synthesis yields four Cu3(HHTP)2 morphologies with distinct physicochemical, sorption, and sensing properties toward SO2. Uptake capacities correlate with BET surface area, while sensing performance scales with particle aspect ratio.
Patrick Damacet +5 more
wiley +1 more source
Determining the risk factors of malaria and anemia in children between 6 and 59 months using the joint generalized linear mixed model on the 2021 Nigeria Malaria Indicator Survey dataset. [PDF]
Mhelembe T, Ramroop S, Habyarimana F.
europepmc +1 more source
The graphical abstract illustrates the synthesis pathway, morphological feature, and thermodynamic feasibility of entropy‐engineered NASICON cathodes for sodium‐ion batteries. Abstract Overcoming the energy density limitations of sodium‐ion batteries (NIBs) requires innovative strategies to optimize cathode materials.
Sharad Dnyanu Pinjari +9 more
wiley +1 more source
Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model Tree. [PDF]
Asadi F +5 more
europepmc +1 more source
High‐entropy perovskite nanofibers serve as robust and active bifunctional air electrodes in reversible protonic ceramic electrochemical cells. Their compositional complexity stabilizes the lattice, enriches oxygen vacancies, and accelerates surface exchange.
Hyeonggeun Kim +4 more
wiley +1 more source

