Results 101 to 110 of about 46,500 (244)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Advanced Functional Materials, EarlyView.This work presents a continuous linear gradient catalyst layer design, a general strategy for improving membrane electrode assemblies across electrochemical devices. Fabricated via a dual‐nozzle spray coating method, the architecture controls the Pt/carbon ratio, ionomer content and ionomer type across the catalyst layer, enhancing proton conduction ...
Shangwei Zhou +15 more
wiley +1 more source
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
DEVELOPEMET OF DOCUMENT DATA SYNCRONIZATION TOOLS ON SHAREPOINT PLATFORM
Інформаційні технології і засоби навчання, 2011 The development of document management automation systems for managing by educational processes is an important task in the modern informational society.
Vasyl A. Petrushko
doaj
Advanced Functional Materials, EarlyView.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
Advanced Functional Materials, EarlyView.A transparent, laser‐microscribed glass platform enables cancer diagnosis within 1 h—much faster than histology, which takes days, and free from the chemical or contrast risks of MRI or CT scans. The antibody‐functionalized rough glass surface captures viable cancer cells directly from suspension, allowing instant optical readout and offering a rapid ...
Anish Pal +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Advanced Functional Materials, EarlyView.This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian +5 more
wiley +1 more source