AIMC Topic: Rats

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Virgin Coconut Oil-Induced Neuroprotection in Lipopolysaccharide-Challenged Rats is Mediated, in Part, Through Cholinergic, Anti-Oxidative and Anti-Inflammatory Pathways.

Journal of dietary supplements Oct 14, 2020
Neuroinflammation is associated with neuronal cell death and could lead to chronic neurodegeneration. This study investigated the neuroprotective potential of virgin coconut oil (VCO) against lipopolysaccharide (LPS)-induced cytotoxicity of neuroblas...
Anti-Inflammatory Agents Rats Acetylcholinesterase Neuroprotection Cholinergic Agents Lipopolysaccharides Animals Coconut Oil Oxidative Stress Rats, Wistar
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Machine learning to predict mesenchymal stem cell efficacy for cartilage repair.

PLoS computational biology Oct 7, 2020
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise prediction on the therapeutic outcome of a MSC therapy based on the patient's conditions would provide va...
Machine Learning Animals Swine Computational Biology Humans Mesenchymal Stem Cells Cartilage Tissue Engineering Rats Mesenchymal Stem Cell Transplantation Models, Biological Rabbits
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Training deep neural density estimators to identify mechanistic models of neural dynamics.

eLife Sep 17, 2020
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying causes. However, determining which model parameters agree with complex and stochastic neural data presents a significant challenge. We address this challen...
Neurons Animals Neural Networks, Computer Mice Rats Machine Learning Bayes Theorem Algorithms
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Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Ultrasound in medicine & biology Sep 8, 2020
Fifty years of research on the nature of backscatter from tissues has resulted in a number of promising diagnostic parameters. We recently introduced two analyses tied directly to the biophysics of ultrasound scattering: the H-scan, based on a matche...
Liver Animals Liver Diseases Male Support Vector Machine Rats, Sprague-Dawley Ultrasonography Rats
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Artificial Intelligence-Based Quantification of Epithelial Proliferation in Mammary Glands of Rats and Oviducts of Göttingen Minipigs.

Toxicologic pathology Aug 25, 2020
Quantitative assessment of proliferation can be an important endpoint in toxicologic pathology. Traditionally, cell proliferation is quantified by labor-intensive manual counting of positive and negative cells after immunohistochemical staining for p...
Rats Cell Proliferation Epithelial Cells Oviducts Mammary Glands, Animal Swine, Miniature Female Animals Swine Artificial Intelligence
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model.

Journal of visualized experiments : JoVE Aug 16, 2020
Machine learning (ML) algorithms permit the integration of different features into a model to perform classification or regression tasks with an accuracy exceeding its constituents. This protocol describes the development of an ML algorithm to predic...
Bone Neoplasms Positron Emission Tomography Computed Tomography Sensitivity and Specificity Animals Image Processing, Computer-Assisted Disease Models, Animal Early Detection of Cancer Machine Learning Humans Female Neural Networks, Computer Rats Magnetic Resonance Imaging
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes.

PloS one Aug 11, 2020
In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to r...
Rats Hepatocytes Neural Networks, Computer Gene Expression Regulation Humans Algorithms Machine Learning Clinical Trials as Topic Animals Deep Learning
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Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Rats Disease Models, Animal Area Under Curve Electroencephalography Reproducibility of Results Animals ROC Curve Epilepsies, Partial Electrocorticography Kainic Acid Excitatory Amino Acid Agonists Seizures Signal Processing, Computer-Assisted Linear Models Machine Learning
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Cell type prioritization in single-cell data.

Nature biotechnology Jul 20, 2020
We present Augur, a method to prioritize the cell types most responsive to biological perturbations in single-cell data. Augur employs a machine-learning framework to quantify the separability of perturbed and unperturbed cells within a high-dimensio...
Walking Nerve Net Chromatin Sequence Analysis, RNA Machine Learning Transcriptome Mice Rats Animals Single-Cell Analysis Computational Biology Databases, Genetic Gene Expression Profiling
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Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model.

Journal of biomedical science Jul 15, 2020
BACKGROUND: Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24 h of stroke onset. Quick and precise identification of the salvageable tissue is essential for successful stroke management. In this study, we examined t...
Algorithms Animals Male Rats, Sprague-Dawley Disease Models, Animal ROC Curve Rats Machine Learning Infarction, Middle Cerebral Artery Ischemia Diffusion Tensor Imaging
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