Results 241 to 250 of about 583,827 (328)

Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System

Advanced Functional Materials, EarlyView.
A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim, Zhuo Feng Lee, Gi‐Dong Sim, Sejoong Kim, Jessie S. Jeon   +4 more
wiley   +1 more source

A RANDOMIZED CLINICAL ENDPOINT STUDY TO EVALUATE THE SAFETY AND EFFICACY OF CLEARLIV TABLETS IN PATIENTS WITH ALCOHOLIC LIVER DISEASE

, 2019
Ramesh Kannan S, V Sivaraman, C Mirunalini, M. Sakthibalan, S. Jayashree, Vanangamudi Ss, Nagarajan Km, Arther Paul C   +7 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

Advanced 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, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Design and inference in phase II/III clinical trials incorporating monitoring of multiple endpoints.

, 2011
Herman E. Ray
openalex   +2 more sources

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

Advanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

Putting Theory into Practice by Developing a Novel Digital Health Technology-Derived Endpoint in Sleep Quality. [PDF]

Digit Biomark
Kramer F, Krauss J, Pal J, Batchelor J, Yuksel P, O Sullivan K, Stepien M, Bertha A.   +7 more
europepmc   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

Determinants of Early Mortality Among 37,568 Patients With Colon Cancer Who Participated in 25 Clinical Trials From the Adjuvant Colon Cancer Endpoints Database

, 2016
Winson Y. Cheung, Lindsay A. Renfro, David Kerr, Aimery de Gramont, Leonard B. Saltz, Axel Grothey, Steven R. Alberts, Thierry André, Katherine A. Guthrie, Roberto Labianca, Guido Francini, J. F. Seitz, Chris J. O’Callaghan, Chris Twelves, Eric Van Cutsem, Daniel G. Haller, Greg Yothers, Daniel J. Sargent   +17 more
openalex   +1 more source

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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Re: Small versus large bore chest tube in traumatic hemothorax, hemopneumothorax, and pneumothorax-external validity, endpoint heterogeneity, and trial sequential analysis assumptions : Author. [PDF]

World J Emerg Surg
Ravikumar S.
europepmc   +1 more source