Cluster randomised controlled trial for service delivery redesign of primary care for people with diabetes: study protocol. [PDF]
Mazzoni A +11 more
europepmc +1 more source
Contamination in trials: is cluster randomisation the answer? [PDF]
Torgerson, D J
core +2 more sources
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
Effect of a digital training package on clinical outcomes in Malawi's index case testing programme: a cluster randomised controlled trial. [PDF]
Rosenberg N +13 more
europepmc +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Mental Health First Aid training for Chile and Argentina: protocol for a cluster randomised controlled trial. [PDF]
Agrest M +9 more
europepmc +1 more source
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley +12 more
wiley +1 more source
Design and methodology of a cluster-randomised controlled trial on cash plus interventions for preventing child wasting in Somalia. [PDF]
Walton S +20 more
europepmc +1 more source
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
'WeekendGo!' A digital health intervention for promoting children's physical activity in the family environment: a cluster randomised controlled trial protocol. [PDF]
Da Q +11 more
europepmc +1 more source

