AIMC Topic: Disease Models, Animal

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Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.

ACS applied bio materials Oct 1, 2020
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...
Burns Micelles Animals Polyethylene Glycols Nanogels Lignin Male Wound Healing Rheology Hydrogels Mice Disease Models, Animal Biocompatible Materials Antioxidants Mice, Inbred BALB C Particle Size Skin
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Myricitrin inhibits vascular endothelial growth factor-induced angiogenesis of human umbilical vein endothelial cells and mice.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Sep 17, 2020
In the present study, the protective effects of myricitrin against vascular endothelial growth factor (VEGF)-induced angiogenesis of vascular endothelial cells were characterized. Cells were induced with 50 ng/mL VEGF in the presence or absence of va...
Disease Models, Animal Apoptosis Animals Humans Matrix Metalloproteinases Flavonoids Biomarkers Neovascularization, Pathologic Cell Line, Tumor Human Umbilical Vein Endothelial Cells Neovascularization, Physiologic Mice Caspases Vascular Endothelial Growth Factors Angiogenesis Inhibitors Xenograft Model Antitumor Assays
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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...
Magnetic Resonance Imaging Disease Models, Animal Early Detection of Cancer Bone Neoplasms Positron Emission Tomography Computed Tomography Humans Neural Networks, Computer Machine Learning Female Sensitivity and Specificity Animals Image Processing, Computer-Assisted Rats
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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...
Machine Learning Reproducibility of Results Animals ROC Curve Rats Linear Models Epilepsies, Partial Disease Models, Animal Electrocorticography Kainic Acid Excitatory Amino Acid Agonists Area Under Curve Electroencephalography Seizures Signal Processing, Computer-Assisted
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5G ultra-remote robot-assisted laparoscopic surgery in China.

Surgical endoscopy Jul 22, 2020
BACKGROUND: 5G communication technology has been applied to several fields in telemedicine, but its effectiveness, safety, and stability in remote laparoscopic telesurgery have not been established. Here, we conducted four ultra-remote laparoscopic s...
Swine China Treatment Outcome Blood Loss, Surgical Disease Models, Animal Animals Cystectomy Nephrectomy Intraoperative Complications Wireless Technology Cholecystectomy Robotics Laparoscopy Robotic Surgical Procedures Telemedicine Hepatectomy
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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...
Ischemia ROC Curve Diffusion Tensor Imaging Rats Machine Learning Rats, Sprague-Dawley Algorithms Disease Models, Animal Animals Infarction, Middle Cerebral Artery Male
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Utilization of a Deep Learning Algorithm for Microscope-Based Fatty Vacuole Quantification in a Fatty Liver Model in Mice.

Toxicologic pathology Jun 8, 2020
Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vessels and bile ducts, is an example where the traditional semiquantitative pathology assessment can be enhanced with artificial intelligence (AI) algorit...
Microscopy Image Interpretation, Computer-Assisted Vacuoles Artificial Intelligence Machine Learning Algorithms Animals Deep Learning Mice Disease Models, Animal Liver Non-alcoholic Fatty Liver Disease
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Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Pharmacological research May 25, 2020
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system...
Artificial Intelligence Biomarkers Animals Male Blood Glucose Protein Interaction Maps Gene Regulatory Networks Systems Biology Data Mining Spectrometry, Mass, Electrospray Ionization Animals, Genetically Modified Drugs, Chinese Herbal Workflow Rats, Wistar Zebrafish Hypoglycemic Agents Chromatography, High Pressure Liquid Diabetes Mellitus Tandem Mass Spectrometry Disease Models, Animal
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AxoNet: A deep learning-based tool to count retinal ganglion cell axons.

Scientific reports May 15, 2020
In this work, we develop a robust, extensible tool to automatically and accurately count retinal ganglion cell axons in optic nerve (ON) tissue images from various animal models of glaucoma. We adapted deep learning to regress pixelwise axon count de...
Disease Susceptibility Optic Nerve Models, Biological Axons Retinal Ganglion Cells Optic Nerve Diseases Deep Learning Computational Biology Rats Glaucoma Disease Models, Animal Software Algorithms Female Reproducibility of Results Animals Male
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Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.

Journal of pharmacokinetics and pharmacodynamics Apr 11, 2020
The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of AI in women's health, discover gaps, and discuss the future of AI in maternal health. A systematic review of English articles using EMBASE, PubMed, and S...
Maternal-Fetal Exchange Preconception Care Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Pregnancy Complications Decision Making, Shared Perinatal Care Animals Prenatal Care Disease Models, Animal Maternal Health Humans Machine Learning Physicians Pregnancy Female
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