AIMC Topic: Disease Models, Animal

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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 Disease Models, Animal Mice, Inbred C57BL Hypertrophy, Left Ventricular Machine Learning Animals Male Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks 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...
Mice Computational Biology Disease Models, Animal Mice, Inbred C57BL Gene Expression Profiling Liver Chemical and Drug Induced Liver Injury Machine Learning Transcriptome Copper Animals Protein Interaction Maps Acetaminophen Male
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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,...
Epithelium Intestinal Mucosa Robotics Equipment Design Animals Male Colon Mice Nanoparticles Disease Models, Animal Mice, Inbred C57BL Humans Macrophages Cytokines Inflammatory Bowel Diseases
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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...
Animals Mice Staphylococcus aureus Disease Models, Animal Bacteriophages Artificial Intelligence Software Anti-Bacterial Agents
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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...
Mice, Knockout Non-alcoholic Fatty Liver Disease Electric Impedance Early Diagnosis Deep Learning Mice Disease Models, Animal Humans Animals
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Estimation of invasive coronary perfusion pressure using electrocardiogram and Photoplethysmography in a porcine model of cardiac arrest.

Computer methods and programs in biomedicine Jun 13, 2024
BACKGROUND: Coronary perfusion pressure (CPP) indicates spontaneous return of circulation and is recommended for high-quality cardiopulmonary resuscitation (CPR). This study aimed to investigate a method for non-invasive estimation of CPP using elect...
Algorithms Animals Swine Photoplethysmography Electrocardiography Disease Models, Animal Blood Pressure Machine Learning Coronary Circulation Cardiopulmonary Resuscitation Heart Arrest
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Machine learning algorithms integrate bulk and single-cell RNA data to unveil oxidative stress following intracerebral hemorrhage.

International immunopharmacology Jun 11, 2024
BACKGROUND: Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had significantly impacting patient prognosis. Identifying optimal genes associated with OS could enhance the understanding of OS after ICH.
Animals Male Oxidative Stress Single-Cell Analysis Humans Machine Learning Algorithms Disease Models, Animal Mice Cerebral Hemorrhage Monocytes Microglia Sequence Analysis, RNA
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Unraveling the genetic and molecular landscape of sepsis and acute kidney injury: A comprehensive GWAS and machine learning approach.

International immunopharmacology Jun 8, 2024
OBJECTIVES: This study aimed to explore the underlying mechanisms of sepsis and acute kidney injury (AKI), including sepsis-associated AKI (SA-AKI), a frequent complication in critically ill sepsis patients.
Disease Models, Animal Machine Learning Mice, Inbred C57BL Prognosis Mice Acute Kidney Injury Humans Animals Genetic Predisposition to Disease Male Polymorphism, Single Nucleotide Sepsis Genome-Wide Association Study
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Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning.

Communications biology Jun 7, 2024
The Drosophila model is pivotal in deciphering the pathophysiological underpinnings of various human ailments, notably aging and cardiovascular diseases. Cutting-edge imaging techniques and physiology yield vast high-resolution videos, demanding adva...
Humans Machine Learning Heart Drosophila melanogaster Drosophila Cardiomyopathy, Dilated Animals Aging Deep Learning Disease Models, Animal
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Characterization of PANoptosis-related genes in Crohn's disease by integrated bioinformatics, machine learning and experiments.

Scientific reports May 22, 2024
Currently, the biological understanding of Crohn's disease (CD) remains limited. PANoptosis is a revolutionary form of cell death reported to participate in numerous diseases, including CD. In our study, we aimed to uncover the roles of PANoptosis in...
Computational Biology Disease Models, Animal Crohn Disease Gene Expression Profiling Gene Regulatory Networks Humans Mice Machine Learning Animals
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