AIMC Topic: Disease Models, Animal

Clear Filters Showing 151 to 160 of 391 articles

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...
Machine Learning Animals Male Mice Liver Amino Acids Non-alcoholic Fatty Liver Disease Chromatography, High Pressure Liquid Liver Cirrhosis Disease Models, Animal Mice, Inbred C57BL Metabolomics Tandem Mass Spectrometry Hepatectomy Liver Regeneration
View on PubMed DOI

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 Oximetry Swine, Miniature Heart Sounds Phonocardiography Swine Electrocardiography Disease Models, Animal Predictive Value of Tests Signal Processing, Computer-Assisted Feasibility Studies Heart Failure Heart Rate Machine Learning Animals Ventricular Function, Left Stroke Volume
View on PubMed DOI

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 Behavior, Animal Maze Learning Spatial Learning Male Mice Disease Models, Animal Mice, Inbred C57BL
View on PubMed DOI

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 Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks Mice Machine Learning Animals Male
View on PubMed DOI

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...
Disease Models, Animal Mice, Inbred C57BL Liver Copper Transcriptome Protein Interaction Maps Mice Computational Biology Acetaminophen Chemical and Drug Induced Liver Injury Machine Learning Animals Male Gene Expression Profiling
View on PubMed DOI

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,...
Cytokines Inflammatory Bowel Diseases Animals Male Colon Mice Nanoparticles Disease Models, Animal Humans Macrophages Epithelium Mice, Inbred C57BL Intestinal Mucosa Robotics Equipment Design
View on PubMed DOI

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
View on PubMed DOI

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...
Non-alcoholic Fatty Liver Disease Electric Impedance Early Diagnosis Mice Disease Models, Animal Mice, Knockout Humans Animals Deep Learning
View on PubMed DOI

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...
Cardiopulmonary Resuscitation Heart Arrest Disease Models, Animal Blood Pressure Coronary Circulation Animals Swine Photoplethysmography Electrocardiography Machine Learning Algorithms
View on PubMed DOI

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.
Sequence Analysis, RNA Disease Models, Animal Cerebral Hemorrhage Microglia Machine Learning Algorithms Animals Male Oxidative Stress Single-Cell Analysis Mice Monocytes Humans
View on PubMed DOI
Popular Topics
Recent Journals