Results 161 to 170 of about 43,538 (309)

Pre-operative medication reconciliation by pharmacy technicians or anaesthesiologists [PDF]

open access: green, 2021
Marieke M. Ebbens   +3 more
openalex   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +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

216 Jewish Hospital of St. Louis [PDF]

open access: yes, 1957
https://digitalcommons.wustl.edu/bjc_216/1034/thumbnail ...

core   +1 more source

Introduction of pharmacy technicians onto a busy oncology ward as part of the nursing team [PDF]

open access: green, 2016
Anthony Sinclair   +5 more
openalex   +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

Barnes Hospital Record [PDF]

open access: yes, 1964
https://digitalcommons.wustl.edu/bjc_barnes_record/1201/thumbnail ...

core   +1 more source

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