AIMC Topic: Mice

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Automated identification and segmentation of urine spots based on deep-learning.

PeerJ Jul 18, 2024
Micturition serves an essential physiological function that allows the body to eliminate metabolic wastes and maintain water-electrolyte balance. The urine spot assay (VSA), as a simple and economical assay, has been widely used in the study of mictu...
Urinalysis Mice Rats Urination Female Animals Deep Learning
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Self-adaptive deep learning-based segmentation for universal and functional clinical and preclinical CT image analysis.

Computers in biology and medicine Jul 15, 2024
BACKGROUND: Methods to monitor cardiac functioning non-invasively can accelerate preclinical and clinical research into novel treatment options for heart failure. However, manual image analysis of cardiac substructures is resource-intensive and error...
Humans Heart Ventricles X-Ray Microtomography Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Mice Animals
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Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics.

Nature methods Jul 12, 2024
Keypoint tracking algorithms can flexibly quantify animal movement from videos obtained in a wide variety of settings. However, it remains unclear how to parse continuous keypoint data into discrete actions. This challenge is particularly acute becau...
Drosophila melanogaster Movement Humans Mice Animals Video Recording Male Behavior, Animal Machine Learning Algorithms
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Virtual tissue microstructure reconstruction across species using generative deep learning.

PloS one Jul 12, 2024
Analyzing tissue microstructure is essential for understanding complex biological systems in different species. Tissue functions largely depend on their intrinsic tissue architecture. Therefore, studying the three-dimensional (3D) microstructure of t...
Humans Mice Animals Liver Deep Learning Microscopy, Fluorescence Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Machine Learned Classification of Ligand Intrinsic Activities at Human μ-Opioid Receptor.

ACS chemical neuroscience Jul 11, 2024
Opioids are small-molecule agonists of μ-opioid receptor (μOR), while reversal agents such as naloxone are antagonists of μOR. Here, we developed machine learning (ML) models to classify the intrinsic activities of ligands at the human μOR based on t...
Animals Mice Rats Analgesics, Opioid Humans Neural Networks, Computer Machine Learning Ligands Receptors, Opioid, mu
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Machine learning-based autophagy-related prognostic signature for personalized risk stratification and therapeutic approaches in bladder cancer.

International immunopharmacology Jul 10, 2024
OBJECTIVE: Bladder cancer (BCa) is a highly lethal urological malignancy characterized by its notable histological heterogeneity. Autophagy has swiftly emerged as a diagnostic and prognostic biomarker in diverse cancer types. Nonetheless, the current...
Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Autophagy Cell Line, Tumor Mice Immunotherapy Machine Learning Precision Medicine Prognosis Biomarkers, Tumor Animals Risk Assessment Humans
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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...
Mice Disease Models, Animal Mice, Inbred C57BL Spatial Learning Alzheimer Disease Behavior, Animal Maze Learning Female Animals Male Neural Networks, Computer
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Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.

Journal of medicinal chemistry Jul 8, 2024
Peptide-based drug discovery has surged with the development of peptide hormone-derived analogs for the treatment of diabetes and obesity. Machine learning (ML)-enabled quantitative structure-activity relationship (QSAR) approaches have shown great p...
Animals Obesity Humans Quantitative Structure-Activity Relationship Machine Learning Drug Discovery Mice, Obese Male Mice Glucagon-Like Peptide-1 Receptor Agonists Peptides Mice, Inbred C57BL
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Masked cross-domain self-supervised deep learning framework for photoacoustic computed tomography reconstruction.

Neural networks : the official journal of the International Neural Network Society Jul 7, 2024
Accurate image reconstruction is crucial for photoacoustic (PA) computed tomography (PACT). Recently, deep learning has been used to reconstruct PA images with a supervised scheme, which requires high-quality images as ground truth labels. However, p...
Deep Learning Image Processing, Computer-Assisted Mice Supervised Machine Learning Photoacoustic Techniques Algorithms Tomography, X-Ray Computed Animals Neural Networks, Computer
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Screening of Secretory Proteins Linking Major Depressive Disorder with Heart Failure Based on Comprehensive Bioinformatics Analysis and Machine Learning.

Biomolecules Jul 4, 2024
BACKGROUND: Major depressive disorder (MDD) plays a crucial role in the occurrence of heart failure (HF). This investigation was undertaken to explore the possible mechanism of MDD's involvement in HF pathogenesis and identify candidate biomarkers fo...
Mendelian Randomization Analysis Humans Heart Failure Machine Learning Protein Interaction Maps Biomarkers Mice Animals Computational Biology Depressive Disorder, Major Genome-Wide Association Study
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