AIMC Topic: Disease Models, Animal

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[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University May 20, 2024
OBJECTIVE: To establish a diagnostic model for scleroderma by combining machine learning and artificial neural network based on mitochondria-related genes.
Humans Neural Networks, Computer Machine Learning ROC Curve Mice Computational Biology Disease Models, Animal Algorithms Biomarkers Animals Gene Expression Profiling Mitochondria Scleroderma, Systemic
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Machine learning reveals ferroptosis features and a novel ferroptosis classifier in patients with sepsis.

Immunity, inflammation and disease May 1, 2024
OBJECTIVE: Sepsis is an organ malfunction disease that may become fatal and is commonly accompanied by severe complications such as multiorgan dysfunction. Patients who are already hospitalized have a high risk of death due to sepsis. Even though ear...
Male Gene Expression Profiling Sepsis Rats Rats, Sprague-Dawley Disease Models, Animal Ferroptosis Machine Learning Biomarkers Female Animals Humans
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Machine learning and deep learning to identifying subarachnoid haemorrhage macrophage-associated biomarkers by bulk and single-cell sequencing.

Journal of cellular and molecular medicine May 1, 2024
We investigated subarachnoid haemorrhage (SAH) macrophage subpopulations and identified relevant key genes for improving diagnostic and therapeutic strategies. SAH rat models were established, and brain tissue samples underwent single-cell transcript...
Biomarkers Animals Male Molecular Docking Simulation Neural Networks, Computer Machine Learning Macrophages Rats Rats, Sprague-Dawley Disease Models, Animal Subarachnoid Hemorrhage Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis
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Innovative statistical approaches: the use of neural networks reduces the sample size in the splenectomy-MCAO mouse model.

Croatian medical journal Apr 30, 2024
AIM: To compare the effectiveness of artificial neural network (ANN) and traditional statistical analysis on identical data sets within the splenectomy-middle carotid artery occlusion (MCAO) mouse model.
Splenectomy Disease Models, Animal Sample Size Infarction, Middle Cerebral Artery Neural Networks, Computer Animals Male Mice Magnetic Resonance Imaging
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[Effect of enzybiotics on the healing of Staphylococcus aureus-infected skin wounds in a pig model].

Klinicka mikrobiologie a infekcni lekarstvi Mar 1, 2024
INTRODUCTION: Staphylococcus aureus is a gram-positive, facultatively anaerobic coccus capable of causing infectious diseases in animals and humans. Especially dangerous are multidrug-resistant forms with poor or even no response to available treatme...
Methicillin-Resistant Staphylococcus aureus Wound Healing Lysostaphin Disease Models, Animal Staphylococcal Skin Infections Anti-Bacterial Agents Animals Swine
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Therapeutic effects of orally administration of viable and inactivated probiotic strains against murine urinary tract infection.

Journal of food and drug analysis Dec 15, 2023
Urinary tract infections (UTIs) are highly prevalent bacterial infections that pose significant health risks. Specific probiotic strains have been recommended for UTI control and management of antibiotic resistance. Otherwise, para-probiotics, define...
Ampicillin Anti-Bacterial Agents Female Animals Mice Probiotics Bacteriuria Urinary Tract Infections Escherichia coli Infections Escherichia coli Disease Models, Animal Mice, Inbred C57BL
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DOES GALLIC ACID HAVE A POTENTIAL REMEDIAL EFFECT IN EXPERIMENTAL CORROSIVE BURN INJURY TO THE ESOPHAGUS?

Acta clinica Croatica Nov 1, 2023
Gallic acid, acting as an antioxidant, anti-precipitant and cytoprotective agent, was used as a possible remedial natural component for treating experimentally induced esophageal burn. Wistar rats (n=24) were divided into three groups. Control group ...
Burns, Chemical Esophagus Caustics Animals Male Rats, Wistar Rats Disease Models, Animal Gallic Acid
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AxoNet 2.0: A Deep Learning-Based Tool for Morphometric Analysis of Retinal Ganglion Cell Axons.

Translational vision science & technology Mar 1, 2023
PURPOSE: Assessment of glaucomatous damage in animal models is facilitated by rapid and accurate quantification of retinal ganglion cell (RGC) axonal loss and morphologic change. However, manual assessment is extremely time- and labor-intensive. Here...
Axons Retinal Ganglion Cells Deep Learning Mice Rats Disease Models, Animal Glaucoma Cross-Sectional Studies Animals
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The Emergent Power of Human Cellular vs Mouse Models in Translational Hair Research.

Stem cells translational medicine Oct 21, 2022
Different animal models have been used for hair research and regeneration studies based on the similarities between animal and human skins. Primary knowledge on hair follicle (HF) biology has arisen from research using mouse models baring spontaneous...
Humans Artificial Intelligence Animals Mice Disease Models, Animal Hair Hair Follicle Alopecia
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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.

Cornea May 1, 2021
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficiency virus (SIV)-infected macaques by combining in vivo corneal confocal microscopy (IVCM) with automated assessments using deep learning-based methods c...
Middle Aged Deep Learning Real-Time Polymerase Chain Reaction Microscopy, Confocal Disease Models, Animal Acute Disease RNA, Viral Female Cornea Animals Male Humans Neural Networks, Computer Macaca nemestrina Simian Acquired Immunodeficiency Syndrome Simian Immunodeficiency Virus Trigeminal Nerve Diseases Nerve Fibers Macaca mulatta Eye Infections, Viral
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