Results 251 to 260 of about 948,265 (335)

Leveraging electronic medical records to evaluate a computerized decision support system for staphylococcus bacteremia. [PDF]

open access: yesNPJ Digit Med
Palm J   +50 more
europepmc   +1 more source

Host‐Guest Inclusion Chemistry From Supramolecular Architecture Enabling Anti‐Biofouling Surfaces for Oesophagus Stents

open access: yesAdvanced Functional Materials, EarlyView.
A slippery coating with exceptional anti‐biofouling performance is developed using biocompatible materials for oesophagus stents. Host‐guest inclusion complex formation capabilities of FDA‐approved supramolecules, cyclodextrins are exploited, which significantly enhances the stability of the surface.
Jianhui Zhang   +7 more
wiley   +1 more source

Mechanically Robust Phase‐Change Multiscale‐Architected Metastructures Integrating Asymmetric MXene/T‐CNF Aerogel for Thermal Energy Storage and Electromagnetic Interference Shielding

open access: yesAdvanced Functional Materials, EarlyView.
A multiscale‐architected phase change material (PCM) composite combines latent heat storage, PCM leakage proof, directional thermal conduction, electromagnetic interference (EMI) shielding, and mechanical reinforcement via asymmetric MXene/cellulose aerogel and 3D‐printed metastructures, enabling effective thermal regulation, strong EMI shielding, and ...
Jiheon Kim   +9 more
wiley   +1 more source

Fluorescent Nanodiamonds Based Theranostic Platform for pH‐Sensitive Drug Delivery and Quantum Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu   +8 more
wiley   +1 more source

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

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