AIMC Topic: Disease Models, Animal

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Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility.

Scientific reports May 14, 2024
Cardiac magnetic resonance (CMR) imaging allows precise non-invasive quantification of cardiac function. It requires reliable image segmentation for myocardial tissue. Clinically used software usually offers automatic approaches for this step. These ...
Myocardial Infarction Magnetic Resonance Imaging, Cine Stroke Volume Swine Deep Learning Disease Models, Animal Heart Humans Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Animals
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A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging.

Journal of dentistry May 8, 2024
OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone for periodontitis in a mouse model with the aim to create an automatic deep-learning segmentation model that enables researchers to easily examine alveo...
Bone Density Animals Deep Learning Imaging, Three-Dimensional Artificial Intelligence Mice Disease Models, Animal X-Ray Microtomography Periodontitis Maxilla Alveolar Bone Loss Alveolar Process
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Exploring Radiomics Features Based on H&E Images as Potential Biomarkers for Evaluating Muscle Atrophy: A Preliminary Study.

Journal of imaging informatics in medicine Apr 23, 2024
Radiomics features have been widely used as novel biomarkers in the diagnosis of various diseases, but whether radiomics features derived from hematoxylin and eosin (H&E) images can evaluate muscle atrophy has not been studied. Therefore, this study ...
Radiomics Biomarkers Animals Support Vector Machine Female Disease Models, Animal Muscular Atrophy Macaca
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BiliQML: a supervised machine-learning model to quantify biliary forms from digitized whole slide liver histopathological images.

American journal of physiology. Gastrointestinal and liver physiology Apr 23, 2024
The progress of research focused on cholangiocytes and the biliary tree during development and following injury is hindered by limited available quantitative methodologies. Current techniques include two-dimensional standard histological cell-countin...
Bile Duct Diseases Biliary Tract Liver Supervised Machine Learning Bile Ducts Image Processing, Computer-Assisted Mice Disease Models, Animal Animals
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Microscopic computed tomography with AI-CNN-powered image analysis: the path to phenotype bleomycin-induced lung injury.

American journal of physiology. Cell physiology Apr 22, 2024
Bleomycin (BLM)-induced lung injury in mice is a valuable model for investigating the molecular mechanisms that drive inflammation and fibrosis and for evaluating potential therapeutic approaches to treat the disease. Given high variability in the BL...
Bleomycin Mice, Inbred C57BL Pulmonary Fibrosis Lung Mice Disease Models, Animal Collagen Lung Injury X-Ray Microtomography Neural Networks, Computer Animals Artificial Intelligence Male Phenotype
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Deep learning automatically assesses 2-µm laser-induced skin damage OCT images.

Lasers in medical science Apr 18, 2024
The present study proposed a noninvasive, automated, in vivo assessment method based on optical coherence tomography (OCT) and deep learning techniques to qualitatively and quantitatively analyze the biological effects of 2-µm laser-induced skin dama...
Animals Deep Learning Mice Disease Models, Animal Tomography, Optical Coherence Skin Lasers
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Inferring Parameters of Pyramidal Neuron Excitability in Mouse Models of Alzheimer's Disease Using Biophysical Modeling and Deep Learning.

Bulletin of mathematical biology Mar 25, 2024
Alzheimer's disease (AD) is believed to occur when abnormal amounts of the proteins amyloid beta and tau aggregate in the brain, resulting in a progressive loss of neuronal function. Hippocampal neurons in transgenic mice with amyloidopathy or tauopa...
Mice, Transgenic Mathematical Concepts Animals Pyramidal Cells Disease Models, Animal Tauopathies Models, Biological Deep Learning Amyloid beta-Peptides Potassium Mice Alzheimer Disease
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Robotic Actuation-Mediated Quantitative Mechanogenetics for Noninvasive and On-Demand Cancer Therapy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 21, 2024
Cell mechanotransduction signals are important targets for physical therapy. However, current physiotherapy heavily relies on ultrasound, which is generated by high-power equipment or amplified by auxiliary drugs, potentially causing undesired side e...
Neoplasms Cell Line, Tumor Humans Animals Robotics Mice Mechanotransduction, Cellular Disease Models, Animal Apoptosis
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Artificial intelligence-driven drug repositioning uncovers efavirenz as a modulator of α-synuclein propagation: Implications in Parkinson's disease.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Mar 20, 2024
Parkinson's disease (PD) is a complex neurodegenerative disorder with an unclear etiology. Despite significant research efforts, developing disease-modifying treatments for PD remains a major unmet medical need. Notably, drug repositioning is becomin...
Alkynes Benzoxazines Animals Nevirapine Mice alpha-Synuclein Disease Models, Animal Cyclopropanes Mice, Transgenic Humans Mice, Inbred C57BL Parkinson Disease Caenorhabditis elegans Artificial Intelligence Drug Repositioning
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An accurately supervised motion-aware deep network for non-contact pain assessment of trigeminal neuralgia mouse model.

Journal of oral & facial pain and headache Mar 12, 2024
Pain assessment in trigeminal neuralgia (TN) mouse models is essential for exploring its pathophysiology and developing effective analgesics. However, pain assessment methods for TN mouse models have not been widely studied, resulting in a critical g...
Facial Expression Neural Networks, Computer Mice Trigeminal Neuralgia Animals Disease Models, Animal Deep Learning Pain Measurement
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