Results 181 to 190 of about 23,679 (245)

Rapid and Direct Detection of Methamphetamine in Biofluids using a MXene‐Enabled Electrochemical Sensor

open access: yesAdvanced Science, EarlyView.
A MXene‐enhanced electrochemical sensor enables the rapid and direct detection of methamphetamine. Molecular simulations reveal that specific MXene surface functional groups act as key signal amplifiers by facilitating interfacial interactions. The sensor demonstrates high sensitivity and robust performance in complex biological matrices.
Ri Wang   +7 more
wiley   +1 more source

NX210c Demonstrates Therapeutic Potential to Restore Blood-Brain Barrier in a QSP Model of Relapsing-Remitting Multiple Sclerosis. [PDF]

open access: yesInt J Mol Sci
Russo G   +10 more
europepmc   +1 more source

Neutrophil‐Mimetic Nanoscavengers Target the Inflammatory Microenvironment to Eliminate NETs/ROS and Immunomodulate cGAS‐STING Signaling in Septic AKI

open access: yesAdvanced Science, EarlyView.
Sepsis‐associated acute kidney injury is driven by oxidative stress, NETs overproduction, and dysregulated innate immunity. Here, we develop neutrophil‐mimetic nanoscavengers that integrate ROS‐scavenging Mn3O4 nanozymes with DNase‐1‐mediated NETs degradation to suppress cGAS‐STING signaling, reprogram macrophage polarization, and effectively alleviate
Zening Zhang   +9 more
wiley   +1 more source

Therapeutic Gases in Biomedicine: Updates on Nitric Oxide and Beyond

open access: yesAdvanced Science, EarlyView.
Therapeutic gases, including NO, CO, H2S, H2, CO2, O2, and Xe, play vital roles in cellular signaling and repair. This review highlights the emerging carriers and delivery systems that enable controlled, localized gas release for diagnostic and therapeutic applications.
Syed Muntazir Andrabi   +4 more
wiley   +1 more source

Understanding Fabrication Variability in Core‐Shell Soft Biomaterials Using Stochastic Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki   +8 more
wiley   +1 more source

In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim. [PDF]

open access: yesBMC Med Inform Decis Mak, 2022
Sips FLP   +3 more
europepmc   +1 more source

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