AIMC Topic: Disease Models, Animal

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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...
Rats, Sprague-Dawley Disease Models, Animal Reperfusion Injury Multiparametric Magnetic Resonance Imaging Kidney Rats Magnetic Resonance Imaging Machine Learning Animals Male
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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...
Transcriptome Gene Regulatory Networks Computational Biology RNA, Messenger Humans Machine Learning Animals Gene Expression Profiling Disease Models, Animal Zebrafish Cardiomyopathy, Hypertrophic
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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...
Chromatography, High Pressure Liquid Tandem Mass Spectrometry Hepatectomy Liver Regeneration Liver Amino Acids Non-alcoholic Fatty Liver Disease Machine Learning Animals Male Mice Liver Cirrhosis Disease Models, Animal Mice, Inbred C57BL Metabolomics
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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 ...
Ventricular Pressure Machine Learning Swine Animals Electrocardiography Oximetry Ventricular Function, Left Disease Models, Animal Swine, Miniature Stroke Volume Predictive Value of Tests Heart Sounds Signal Processing, Computer-Assisted Phonocardiography Feasibility Studies Heart Failure Heart Rate
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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...
Neural Networks, Computer Female Animals Alzheimer Disease Male Behavior, Animal Mice Maze Learning Disease Models, Animal Spatial Learning Mice, Inbred C57BL
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Identification of immune-related genes and small-molecule drugs in hypertension-induced left ventricular hypertrophy based on machine learning algorithms and molecular docking.

Frontiers in immunology Jun 27, 2024
BACKGROUND: Left ventricular hypertrophy (LVH) is a common consequence of hypertension and can lead to heart failure. The immune response plays an important role in hypertensive LVH; however, there is no comprehensive method to investigate the mechan...
Hypertension Molecular Docking Simulation Disease Models, Animal Machine Learning Gene Expression Profiling Mice, Inbred C57BL Animals Gene Regulatory Networks Hypertrophy, Left Ventricular Male Mice
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Identification and validation of cuproptosis-related genes in acetaminophen-induced liver injury using bioinformatics analysis and machine learning.

Frontiers in immunology Jun 27, 2024
BACKGROUND: Acetaminophen (APAP) is commonly used as an antipyretic analgesic. However, acetaminophen overdose may contribute to liver injury and even liver failure. Acetaminophen-induced liver injury (AILI) is closely related to mitochondrial oxidat...
Computational Biology Disease Models, Animal Mice, Inbred C57BL Machine Learning Liver Animals Copper Transcriptome Male Acetaminophen Protein Interaction Maps Gene Expression Profiling Chemical and Drug Induced Liver Injury Mice
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Biohybrid microrobots regulate colonic cytokines and the epithelium barrier in inflammatory bowel disease.

Science robotics Jun 26, 2024
Cytokines have been identified as key contributors to the development of inflammatory bowel disease (IBD), yet conventional treatments often prove inadequate and carry substantial side effects. Here, we present an innovative biohybrid robotic system,...
Robotics Equipment Design Epithelium Macrophages Nanoparticles Cytokines Disease Models, Animal Inflammatory Bowel Diseases Mice, Inbred C57BL Male Humans Animals Intestinal Mucosa Colon Mice
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Discovery of Antimicrobial Lysins from the "Dark Matter" of Uncharacterized Phages Using Artificial Intelligence.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 20, 2024
The rapid rise of antibiotic resistance and slow discovery of new antibiotics have threatened global health. While novel phage lysins have emerged as potential antibacterial agents, experimental screening methods for novel lysins pose significant cha...
Artificial Intelligence Software Anti-Bacterial Agents Animals Mice Staphylococcus aureus Disease Models, Animal Bacteriophages
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Non-Invasive Detection of Early-Stage Fatty Liver Disease via an On-Skin Impedance Sensor and Attention-Based Deep Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 17, 2024
Early-stage nonalcoholic fatty liver disease (NAFLD) is a silent condition, with most cases going undiagnosed, potentially progressing to liver cirrhosis and cancer. A non-invasive and cost-effective detection method for early-stage NAFLD detection i...
Disease Models, Animal Mice, Knockout Humans Non-alcoholic Fatty Liver Disease Animals Early Diagnosis Electric Impedance Deep Learning Mice
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