AIMC Topic: Rats

Clear Filters Showing 11 to 20 of 676 articles

FormulationLAI: A physiology-based machine learning framework for accelerated development of long-acting injectable formulations.

Journal of controlled release : official journal of the Controlled Release Society
Long-acting injectables (LAIs) represent promising drug delivery platforms for chronic diseases management, but their clinical translation remains constrained by extremely long trial-and-error experiments (8-10 years), limited mechanism insights, and...

Machine Learning Identifies FLNA as a Key Molecular Target Regulating Neuronal Apoptosis after Spinal Cord Injury.

Journal of molecular neuroscience : MN
Spinal cord injury (SCI), a traumatic type of central nervous system injury, is closely associated with neuronal apoptosis. However, the specific biomarkers and regulatory mechanisms of neuronal apoptosis in SCI patients remain unclear. In this study...

D-amphetamine alters the dynamic ECoG activity distribution patterns in the rat neocortex.

Scientific reports
Amphetamine has widespread effects on multiple neurotransmitter systems, potentially altering the physiological connectivity and network dynamics across various regions of the brain. In this study, we investigated the effects of D-amphetamine using o...

Neural network tissue and myocytes co-culture system reveals effects of different myocytes on postnatal development of spinal cord neural network.

Cellular and molecular life sciences : CMLS
The interaction between spinal cord neural networks and myocytes in postnatal mammals plays a crucial role in development, and the neural regulation of motor and visceral functions. Here, spinal cord neural network tissue (SC-NNT) was constructed wit...

Artificial intelligence strategies based on random forests for detecting ischemia-reperfusion injury changes in kidney tissue during intravital imaging.

Scientific reports
This study presents a supervised machine learning approach using a Random Forest classifier to detect ischemia-reperfusion injury (IRI) in kidney tissue based on intravital two-photon microscopy data. A rodent model of unilateral renal IRI was used, ...

Advancing Cell Therapy to Enhance Passive Avoidance Memory: Integrative Approaches Combining Neural-Like Cells and Rosmarinic Acid Through Behavioral, Molecular, and Histological Analyses.

Neurochemical research
Alzheimer's disease (AD) is characterized by progressive neurodegeneration, synaptic dysfunction, and cognitive decline. Regenerative strategies aim to replace lost neurons and modulate the inflammatory milieu to restore neural networks. This study e...

Multiphoton microscopy and tissue clearing for 3D characterization of the vasculature and fibrosis remodeling in rat dystrophic skeletal muscle.

Scientific reports
Duchenne muscular dystrophy (DMD) is characterized by progressive muscle fiber degeneration and replacement by fibrous and adipose tissues, alongside significant vascular abnormalities. Traditional two-dimensional (2D) histological assessments provid...

Piezo-Nanowired Stem Cells: Ultrasound-Powered Neuronal Commitment for Rapid Neural Circuit Reconstruction after Traumatic Brain Injury.

ACS nano
The inherently constrained regenerative capacity of neuronal tissue poses a major obstacle to repairing traumatic brain injury. While neural stem cell transplantation holds promise, its efficacy is constrained by slow and inefficient neuronal differe...

Effects of zacopride and multidimensional impacts of cross-kingdom symbiosis: gut microbiota modulates coronary microvascular dysfunction via the chlorophyll/heme-tryptophan metabolic axis.

Journal of translational medicine
BACKGROUND: Coronary Microvascular Dysfunction (CMD) represents a critical pathological substrate for ischemic heart disease and is strongly associated with major adverse cardiovascular events. Zacopride, known for its dual cardiovascular regulatory ...