AIMC Topic: Rats

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Development and In Vivo evaluation of liposomal fentanyl nanocarriers using thin-film hydration and AI-based characterization for enhanced analgesic efficacy in anesthesia.

Scientific reports
The aim of this study was to develop and evaluate a liposomal formulation of fentanyl to improve its analgesic efficacy and safety profile in anesthesia, using artificial intelligence (AI) techniques to characterize and optimize the formulation. The ...

Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging.

Scientific reports
Machine learning studies for Raman imaging have addressed the differentiability of normal and diseased states in biomedical applications by grouping a set of Raman spectra in terms of spectral similarity over the sample. However, Raman imaging provid...

Flexible and Stretchable Gold Three-Dimensional Electrode: Neural Network Induction and Mechanotransduction Observation.

ACS sensors
Neural cells reside in a three-dimensional (3D) microenvironment where the structure of the nerve circuitry is shaped by the morphology and stiffness of the surrounding extracellular matrix. In this environment, regular exposure to varying mechanical...

The pericardium forms as a distinct structure during heart formation.

Nature communications
The heart is formed from diverse cell lineages that assemble into a functional unit, including the pericardium, a mesothelial sac that supports movement, homeostasis, and immune responses. However, its developmental origins remain unresolved. Here, w...

Miniaturized Fiber-End Probe for Laser Speckle Rheology of Atherosclerotic Plaque.

ACS applied materials & interfaces
Atherosclerosis is a primary cause of cardiovascular disease, with plaque viscoelasticity reflecting mechanical properties related to stability and acute event risk. However, existing viscoelastic measurement devices struggle to meet intravascular mi...

PWLS-SOM: alternative PWLS reconstruction for limited-view CT by strategic optimization of a deep learning model.

Physics in medicine and biology
While deep learning (DL) methods have exhibited promising results in mitigating streaking artifacts caused by limited-view computed tomography (CT), their generalization to practical applications remains challenging. To address this challenge, we aim...

Viral community succession during cadaver decomposition and its potential for estimating postmortem intervals.

Applied and environmental microbiology
UNLABELLED: Microbial communities play a vital role in cadaver decomposition and serve as reliable tools for postmortem interval (PMI) estimation. However, current research focuses primarily on bacterial/fungal communities, though viruses-as Earth's ...

De-MSI: A Deep Learning-Based Data Denoising Method to Enhance Mass Spectrometry Imaging by Leveraging the Chemical Prior Knowledge.

Analytical chemistry
Mass spectrometry imaging (MSI) is a label-free technique that enables the visualization of the spatial distribution of thousands of ions within biosamples. Data denoising is the computational strategy aimed at enhancing the MSI data quality, providi...