AIMC Topic: Disease Models, Animal

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Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Proceedings of the National Academy of Sciences of the United States of America Jul 22, 2019
Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, after multiple critical periods of brain development close and behavioral intervention becomes less effective. This raises the urgent need for quantita...
Humans Female Animals Male Acetylcholine Autistic Disorder Pupil Arousal Methyl-CpG-Binding Protein 2 Rett Syndrome Deep Learning Cohort Studies Mice Disease Models, Animal Protein Serine-Threonine Kinases
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Case-Control Studies Serum Amyloid A Protein Diarrhea Adenocarcinoma Triglycerides Cholesterol, LDL Disease Models, Animal Retrospective Studies Arthritis Models, Statistical Gastrointestinal Neoplasms Wounds and Injuries Humans Female Endometriosis Macaca mulatta Machine Learning Risk Factors Cholesterol, HDL Colitis Biomarkers Animals Amyloidosis Male
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.

Nature biomedical engineering May 20, 2019
Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time an...
Machine Learning Phenotype Female Mice, Knockout Mutation Video Recording Autistic Disorder Behavior, Animal Behavioral Research Animals Male Mice Disease Models, Animal Nerve Tissue Proteins Social Behavior Microfilament Proteins
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Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

ALTEX Apr 18, 2019
Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's discomfort, distress and pain, while ensuring that scientific objectives are reached. Yet, lack of commonly agreed methodology and heterogeneity of cut-off...
Animals Male Severity of Illness Index Sepsis Time Factors Female Mice Body Temperature Stroke Disease Models, Animal Ethical Review Body Weight Mice, Inbred C57BL Supervised Machine Learning Mice, Knockout Animal Welfare Systematic Reviews as Topic Random Allocation
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Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.

PLoS computational biology Apr 11, 2019
Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause of neurodevelopmental disability. Whole transcriptome sequencing (RNA-Seq) offer insights into mechanisms underlying FASD, but gene-level analysis pro...
Exons Fetal Alcohol Spectrum Disorders Cluster Analysis MicroRNAs Unsupervised Machine Learning Principal Component Analysis Databases, Nucleic Acid Humans Pregnancy Female Animals Gene Expression Profiling Big Data Computational Biology Chick Embryo Ethanol Disease Models, Animal
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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

PloS one Mar 13, 2019
The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to ou...
Imaging, Three-Dimensional Mice Disease Models, Animal Alzheimer Disease Cerebral Cortex Humans Mice, Transgenic Neural Networks, Computer Cerebral Angiography Animals Microscopy, Fluorescence, Multiphoton
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Enabling single-site laparoscopy: the SPORT platform.

Surgical endoscopy Jan 8, 2019
BACKGROUND: The Single Port Orifice Robotic Technology (SPORT) Surgical System by Titan Medical Inc. is designed to overcome the inherent challenges of minimally invasive single-access procedures. The aim of this preclinical study was to evaluate the...
Equipment Design Cadaver Ergonomics Cholecystectomy Fundoplication Surgeons Swine Humans Disease Models, Animal Robotics Animals Laparoscopy Male
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Decreased circulating catestatin levels are associated with coronary artery disease: The emerging anti-inflammatory role.

Atherosclerosis Dec 24, 2018
BACKGROUND AND AIMS: The neuropeptide catestatin (CST) is an endogenous nicotinic cholinergic antagonist that acts as pleiotropic cardiac protective hormone. This study investigated the association between CST and coronary artery disease (CAD) and th...
Case-Control Studies Disease Models, Animal Human Umbilical Vein Endothelial Cells Peptide Fragments Anti-Inflammatory Agents Biomarkers Chromogranin A Humans Female Coronary Artery Disease Mice, Knockout, ApoE Animals Cells, Cultured Atherosclerosis Peptidyl-Dipeptidase A Male Cytokines Down-Regulation Plaque, Atherosclerotic Severity of Illness Index Cell Adhesion Molecules Angiotensin-Converting Enzyme 2
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Degradation of TRPML1 in Neurons Reduces Neuron Survival in Transient Global Cerebral Ischemia.

Oxidative medicine and cellular longevity Dec 18, 2018
Postcardiac arrest syndrome yields poor neurological outcomes, but the mechanisms underlying this condition remain poorly understood. Autophagy plays an important role in neuronal apoptosis induced by ischemia. However, whether autophagy is involved ...
Autophagy Cells, Cultured Quinolines Disease Models, Animal Neurons Animals Apoptosis Phthalimides Male Ischemic Attack, Transient Transient Receptor Potential Channels Oxidative Stress Mice, Inbred C57BL Microtubule-Associated Proteins Mice Reperfusion Injury Astrocytes
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Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model.

European radiology Dec 17, 2018
OBJECTIVES: To develop a machine learning model based on quantitative ultrasound (QUS) parameters to improve classification of steatohepatitis with shear wave elastography in rats by using histopathology scoring as the reference standard.
Rats, Sprague-Dawley Disease Models, Animal Liver Non-alcoholic Fatty Liver Disease Animals Male Machine Learning Ultrasonography ROC Curve Rats
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