Results 161 to 170 of about 583,399 (327)

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

Comparative Study on the Wear Resistance of C&B-Type Polymer Materials for Temporary Crowns Manufactured Using 3D DLP Printing Technology. [PDF]

open access: yesMaterials (Basel)
Firlej M   +8 more
europepmc   +1 more source

Cat scratch disease - a case report

open access: diamond, 2018
Sujata S. Giriyan   +2 more
openalex   +2 more sources

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

open access: yesAdvanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari   +4 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

Scratching in style: 3D printers as plotters for automated and complex wound-healing assays. [PDF]

open access: yesiScience
Köppe H   +8 more
europepmc   +1 more source

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