AIMC Topic: Mice, Inbred C57BL

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Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

International immunopharmacology Nov 30, 2024
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Humans Male Pulmonary Arterial Hypertension Computational Biology Machine Learning Lung Disease Models, Animal Superoxide Dismutase-1 Biomarkers Gene Expression Profiling Mice, Inbred C57BL Animals Mice Pulmonary Artery
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Potential diagnostic biomarkers in heart failure: Suppressed immune-associated genes identified by bioinformatic analysis and machine learning.

European journal of pharmacology Nov 23, 2024
Heart failure (HF) threatens tens of millions of people's health worldwide, which is the terminal stage in the development of majority cardiovascular diseases. Recently, an increasing number of studies have demonstrated that bioinformatics and machin...
Disease Models, Animal Mice, Inbred C57BL Myocardial Infarction Heart Failure Gene Expression Regulation Mice Computational Biology Support Vector Machine Humans Databases, Genetic Machine Learning Biomarkers Animals Male
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Identification and validation of biomarkers related to mitochondria during ex vivo lung perfusion for lung transplants based on machine learning algorithm.

Gene Nov 15, 2024
BACKGROUND: Ex vivo lung perfusion (EVLP) is a critical strategy to rehabilitate marginal donor lungs, thereby increasing lung transplantation (LTx) rates. Ischemia-reperfusion (I/R) injury inevitably occurs during LTx. Exploring the common mechanism...
Humans Machine Learning Algorithms Mice, Inbred C57BL Reperfusion Injury Mitochondria Lung Transplantation Perfusion Biomarkers Animals Male Lung Gene Expression Profiling Protein Interaction Maps Mice
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Analysis of behavioral flow resolves latent phenotypes.

Nature methods Nov 12, 2024
The accurate detection and quantification of rodent behavior forms a cornerstone of basic biomedical research. Current data-driven approaches, which segment free exploratory behavior into clusters, suffer from low statistical power due to multiple te...
Exploratory Behavior Cluster Analysis Mice, Inbred C57BL Behavior, Animal Machine Learning Phenotype Brain Animals Male Mice
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Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis.

Scientific reports Nov 12, 2024
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure brain activity in health and disease. Performing behavioral tasks between the FDG injection and the PET scan allows the FDG signal to reflect task-re...
Fluorodeoxyglucose F18 Memory Disease Models, Animal Mice, Inbred C57BL Brain Mapping Positron-Emission Tomography Machine Learning Male Brain Sepsis Animals Mice
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Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.

Journal of neural engineering Nov 7, 2024
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from neural injury and disease. A critical step in implementing a BMI is to decode movement intention from recorded neural activity patterns in sensorimotor...
Animals Male Deep Learning Brain-Computer Interfaces Movement Extremities Mice Mice, Inbred C57BL Neurons Calcium
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Identification of metabolism related biomarkers in obesity based on adipose bioinformatics and machine learning.

Journal of translational medicine Oct 31, 2024
BACKGROUND: Obesity has emerged as a growing global public health concern over recent decades. Obesity prevalence exhibits substantial global variation, ranging from less than 5% in regions like China, Japan, and Africa to rates exceeding 75% in urba...
Mice Animals Humans Obesity Computational Biology Machine Learning Male Adipose Tissue Databases, Genetic Biomarkers Gene Expression Profiling Gene Expression Regulation Mice, Inbred C57BL Gene Regulatory Networks
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Discriminating fingerprints of chronic neuropathic pain following spinal cord injury using artificial neural networks and mass spectrometry analysis of female mice serum.

Neurochemistry international Oct 23, 2024
Spinal cord injury (SCI) often leads to central neuropathic pain, a condition associated with significant morbidity and is challenging in terms of the clinical management. Despite extensive efforts, identifying effective biomarkers for neuropathic pa...
Neural Networks, Computer Biomarkers Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Neuralgia Spinal Cord Injuries Chronic Pain Female Animals Mice Mice, Inbred C57BL
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Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models.

Cell reports Oct 19, 2024
Computer-vision and machine-learning (ML) approaches are being developed to provide scalable, unbiased, and sensitive methods to assess mouse behavior. Here, we used the ML-based variational animal motion embedding (VAME) segmentation platform to ass...
Humans Mice, Inbred C57BL Male Amyloid beta-Protein Precursor Alzheimer Disease Mice Machine Learning Treatment Outcome Behavior, Animal Disease Models, Animal Mice, Transgenic Female Animals
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Brain-wide neural recordings in mice navigating physical spaces enabled by robotic neural recording headstages.

Nature methods Oct 7, 2024
Technologies that can record neural activity at cellular resolution at multiple spatial and temporal scales are typically much larger than the animals that are being recorded from and are thus limited to recording from head-fixed subjects. Here we ha...
Neurons Head Mice Brain Action Potentials Animals Mice, Inbred C57BL Male Robotics
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