Results 161 to 170 of about 647,551 (301)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko   +10 more
wiley   +1 more source

Interlaboratory Evaluation of the U.S. Food and Drug Administration Escherichia coli Identification Microarray for Profiling Shiga Toxin–Producing Escherichia coli

open access: green, 2018
Isha R. Patel   +16 more
openalex   +2 more sources

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