Results 61 to 70 of about 488,336 (199)

Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow   +4 more
wiley   +1 more source

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

open access: yesAdvanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen   +30 more
wiley   +1 more source

DENTA: A Dual Enzymatic Nanoagent for Self‐Activating Tooth Whitening and Biofilm Disruption

open access: yesAdvanced Functional Materials, EarlyView.
The nanoapatite with dual enzymes (DENTA) accumulates in dentinal tubules, reducing hypersensitivity caused by dental nerve exposure and facilitating continuous ROS generation through salivary glucose for effective, long‐term whitening. The dentin structures remain non‐destructive due to the low concentration of ROS, demonstrating excellent cell ...
Junseok Kim   +13 more
wiley   +1 more source

CRISPR/Cas9‐Assisted Microrobots for Fast and Ultrasensitive “On‐The‐Fly” Next‐Generation DNA Detection

open access: yesAdvanced Functional Materials, EarlyView.
This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti   +3 more
wiley   +1 more source

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

open access: yesAdvanced 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

Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection

open access: yesGenome Medicine
Background Acute sinusitis (AS) is a frequent cause of antibiotic prescriptions in children. Distinguishing bacterial AS from common viral upper respiratory infections (URIs) is crucial to prevent unnecessary antibiotic use but is challenging with ...
Andrew C. Doxey   +12 more
doaj   +1 more source

Two‐Dimensional Materials as a Multiproperty Sensing Platform

open access: yesAdvanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana   +11 more
wiley   +1 more source

Modular Architecture of Bacterial RNase P Ribozymes as a Structural Platform for RNA Nanostructure Design

open access: yesCHIMIA, 2018
Ribonuclease P (RNase P) is a class of enzymes involved in the processing of precursor tRNAs to remove their 5'-leader sequences. Ribonuclease P enzymes are classified into two completely distinct classes, i.e.
Yuri Nozawa   +3 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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