Results 171 to 180 of about 155,699 (303)

Evaluation of Automated and Semi-Automated Scoring of Polysomnographic Recordings from a Clinical Trial Using Zolpidem in the Treatment of Insomnia

, 2007
Vladimir Svetnik, Junshui Ma, Keith A. Soper, Scott M. Doran, John J. Renger, Steve Deacon, Ken S. Koblan   +6 more
openalex   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Supervised and unsupervised machine learning for automated scoring of sleep-wake and cataplexy in a mouse model of narcolepsy. [PDF]

Sleep, 2020
Exarchos I, Rogers AA, Aiani LM, Gross RE, Clifford GD, Pedersen NP, Willie JT.   +6 more
europepmc   +1 more source

3D Microtumors Representing Ovarian Cancer Minimal Residual Disease Respond to the Fatty Acid Oxidation Inhibitor Perhexiline

Advanced Healthcare Materials, EarlyView.
Minimal residual disease (MRD) leads to cancer relapse and poor survival in ovarian cancer. The lack of representative 3D models limits therapy development. The microfluidics‐based high throughput 3D microtumor platform described here generates clinically‐relevant MRD models. The 3D microtumors recapitulate the molecular signatures of MRD from patients.
Xingyun Yang, Mara Artibani, Yongcheng Jin, Aneesh Aggarwal, Yujia Zhang, Sandra Muñoz‐Galvan, Ellina Mikhailova, Lena Rai, Nobina Mukherjee, Ravinash Krishna Kumar, Ashwag Albukhari, Shaohua Ma, Linna Zhou, Ahmed Ashour Ahmed, Hagan Bayley   +14 more
wiley   +1 more source

In Vivo‐Like Scaffold‐Free 3D In Vitro Models of Muscular Dystrophies: The Case for Anchored Cell Sheet Engineering in Personalized Medicine

Advanced Healthcare Materials, EarlyView.
The scaffold‐free Anchored Cell Sheet Engineering platform is used to create three‐dimensional (3D) in vitro models of skeletal muscle tissue that replicate key features of Duchenne and Myotonic dystrophies. These personalized tissue models, validated by histological, immunostaining, and proteomics analyses, accurately mimic disease phenotypes and ...
Alireza Shahin‐Shamsabadi, John Cappuccitti   +1 more
wiley   +1 more source

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit [PDF]

, 2016
Iris Q. Grunwald, Andreas Ragoschke-Schumm, Michael Kettner, Lenka Schwindling, Safwan Roumia, Stefan A. Helwig, Matthias Manitz, Silke Walter, Umut Yılmaz, Eric Greveson, Martin Lesmeister, Wolfgang Reith, Klaus Faßbender   +12 more
openalex   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

SciAgents: Automating Scientific Discovery Through Bioinspired Multi‐Agent Intelligent Graph Reasoning

Advanced Materials, EarlyView.
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley   +1 more source

A deep learning approach for automated scoring of the Rey-Osterrieth complex figure. [PDF]

Elife
Langer N, Weber M, Hebling Vieira B, Strzelczyk D, Wolf L, Pedroni A, Heitz J, Müller S, Schultheiss C, Troendle M, Lasprilla JCA, Rivera D, Scarpina F, Zhao Q, Leuthold R, Wehrle F, Jenni O, Brugger P, Zaehle T, Lorenz R, Zhang C.   +20 more
europepmc   +1 more source