AIMC Topic: Disease Models, Animal

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Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics.

BMC medical imaging Aug 20, 2024
BACKGROUND: Non-Alcoholic Steatohepatitis (NASH) is a crucial stage in the progression of Non-Alcoholic Fatty Liver Disease(NAFLD). The purpose of this study is to explore the clinical value of ultrasound features and radiological analysis in predict...
Non-alcoholic Fatty Liver Disease Elasticity Imaging Techniques Radiomics Animals Male Ultrasonography ROC Curve Rats Rats, Sprague-Dawley Disease Models, Animal Machine Learning Algorithms
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Mechanisms of QingRe HuoXue Formula in atherosclerosis Treatment: An integrated approach using Bioinformatics, Machine Learning, and experimental validation.

International immunopharmacology Aug 12, 2024
BACKGROUND: Atherosclerosis (AS) is the main cause of coronary heart disease, cerebral infarction, and peripheral vascular disease. QingRe HuoXue Formula (QRHXF), a common prescription of traditional Chinese medicine, has a definite effect on the cli...
Humans Machine Learning Animals Drugs, Chinese Herbal Atherosclerosis Collagen Type I, alpha 1 Chain Plaque, Atherosclerotic Male Mice Collagen Type I Molecular Docking Simulation Computational Biology Gene Expression Profiling Disease Models, Animal Mice, Inbred C57BL
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Development of artificial intelligence-driven biosignal-sensitive cardiopulmonary resuscitation robot.

Resuscitation Aug 8, 2024
AIM OF THE STUDY: We evaluated whether an artificial intelligence (AI)-driven robot cardiopulmonary resuscitation (CPR) could improve hemodynamic parameters and clinical outcomes.
Carotid Arteries Cardiopulmonary Resuscitation Heart Arrest Ventricular Fibrillation Hemodynamics Artificial Intelligence Disease Models, Animal Animals Robotics Swine
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Optimizing post-transplantation outcomes: the role of multi-omics, artificial intelligence, and animal models in addressing immunosuppression-associated hepatotoxicity.

International journal of surgery (London, England) Aug 1, 2024
Artificial Intelligence Animals Postoperative Complications Multiomics Humans Chemical and Drug Induced Liver Injury Disease Models, Animal Immunosuppressive Agents Immunosuppression Therapy Liver Transplantation
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Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data.

Communications biology Aug 1, 2024
In vivo assessments of influenza A virus (IAV) pathogenicity and transmissibility in ferrets represent a crucial component of many pandemic risk assessment rubrics, but few systematic efforts to identify which data from in vivo experimentation are mo...
Influenza A virus Disease Models, Animal Machine Learning Ferrets Orthomyxoviridae Infections Algorithms Animals Risk Assessment
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Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model.

BMC medical imaging Jul 26, 2024
BACKGROUND: Renal cold ischemia-reperfusion injury (CIRI), a pathological process during kidney transplantation, may result in delayed graft function and negatively impact graft survival and function. There is a lack of an accurate and non-invasive t...
Disease Models, Animal Machine Learning Kidney Reperfusion Injury Animals Multiparametric Magnetic Resonance Imaging Rats Male Magnetic Resonance Imaging Rats, Sprague-Dawley
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A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine learning methods.

Scientific reports Jul 24, 2024
Hypertrophic cardiomyopathy (HCM) may lead to cardiac dysfunction and sudden death. This study was designed to develop a HCM signature applying bioinformatics and machine learning methods. Data of HCM and normal tissues were obtained from public data...
RNA, Messenger Transcriptome Humans Disease Models, Animal Gene Regulatory Networks Machine Learning Zebrafish Computational Biology Animals Cardiomyopathy, Hypertrophic Gene Expression Profiling
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Amino acid metabolomics and machine learning-driven assessment of future liver remnant growth after hepatectomy in livers of various backgrounds.

Journal of pharmaceutical and biomedical analysis Jul 23, 2024
Accurate assessment of future liver remnant growth after partial hepatectomy (PH) in patients with different liver backgrounds is a pressing clinical issue. Amino acid (AA) metabolism plays a crucial role in liver regeneration. In this study, we comb...
Metabolomics Liver Amino Acids Machine Learning Non-alcoholic Fatty Liver Disease Chromatography, High Pressure Liquid Animals Liver Cirrhosis Tandem Mass Spectrometry Male Disease Models, Animal Hepatectomy Mice Liver Regeneration Mice, Inbred C57BL
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Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study.

Journal of cardiovascular translational research Jul 17, 2024
Heart failure (HF) is defined as the inability of the heart to meet body oxygen demand requiring an elevation in left ventricular filling pressures (LVP) to compensate. LVP increase can be assessed in the cardiac catheterization laboratory, but this ...
Machine Learning Animals Ventricular Function, Left Stroke Volume Swine Electrocardiography Disease Models, Animal Predictive Value of Tests Phonocardiography Ventricular Pressure Heart Rate Oximetry Signal Processing, Computer-Assisted Swine, Miniature Feasibility Studies Heart Sounds Heart Failure
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Unbiased analysis of spatial learning strategies in a modified Barnes maze using convolutional neural networks.

Scientific reports Jul 10, 2024
Assessment of spatial learning abilities is central to behavioral neuroscience and a useful tool for animal model validation and drug development. However, biases introduced by the apparatus, environment, or experimentalist represent a critical chall...
Maze Learning Spatial Learning Mice, Inbred C57BL Alzheimer Disease Neural Networks, Computer Behavior, Animal Female Animals Male Mice Disease Models, Animal
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