AIMC Topic: Mice

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Integrating machine learning and multi-omics analysis to reveal nucleotide metabolism-related immune genes and their functional validation in ischemic stroke.

Frontiers in immunology Mar 26, 2025
BACKGROUND: Ischemic stroke (IS) is a major global cause of death and disability, linked to nucleotide metabolism imbalances. This study aimed to identify nucleotide metabolism-related genes associated with IS and explore their roles in disease mecha...
Mice Molecular Docking Simulation Ischemic Stroke Computational Biology Gene Expression Profiling Multiomics Transcriptome Nucleotides Gene Regulatory Networks Humans Machine Learning Animals
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Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.

PloS one Mar 24, 2025
Chagas disease (CD), caused by the protozoan parasite Trypanosoma cruzi (T. cruzi), represents a major public health concern in most of the American continent and causes 12,000 deaths every year. CD clinically manifests in two phases (acute and chron...
Electrocardiography Disease Models, Animal Humans Trypanosoma cruzi Animals Chagas Disease Echocardiography Deep Learning Mice
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Bioinformatics and machine learning approaches to explore key biomarkers in muscle aging linked to adipogenesis.

BMC musculoskeletal disorders Mar 22, 2025
Adipogenesis is intricately linked to the onset and progression of muscle aging; however, the relevant biomarkers remain unclear. This study sought to identify key genes associated with adipogenesis in the context of muscle aging. Firstly, gene expre...
Humans Mice Computational Biology Animals Machine Learning Quadriceps Muscle Adipogenesis Male Biomarkers Aging Aged Gene Expression Profiling
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High-level visual processing in the lateral geniculate nucleus revealed using goal-driven deep learning.

Journal of neuroscience methods Mar 21, 2025
BACKGROUND: The Lateral Geniculate Nucleus (LGN) is an essential contributor to high-level visual processing despite being an early subcortical area in the visual system. Current LGN computational models focus on its basic properties, with less empha...
Mice Models, Neurological Goals Geniculate Bodies Visual Perception Visual Pathways Neural Networks, Computer Animals Deep Learning
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Multiple Instance Learning-Based Prediction of Blood-Brain Barrier Opening Outcomes Induced by Focused Ultrasound.

IEEE transactions on bio-medical engineering Mar 21, 2025
OBJECTIVE: Targeted blood-brain barrier (BBB) opening using focused ultrasound (FUS) and micro/nanobubbles is a promising method for brain drug delivery. This study aims to explore the feasibility of multiple instance learning (MIL) in accurate and f...
Blood-Brain Barrier Phospholipids Drug Delivery Systems Microbubbles Mice Machine Learning Animals Sulfur Hexafluoride Contrast Media Ultrasonography Multiple-Instance Learning Algorithms Signal Processing, Computer-Assisted
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Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

PloS one Mar 21, 2025
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is crucial for understanding cell behavior, particularly in the context of neuropathological states. Despite its importance, the application of advanced i...
Central Nervous System Image Processing, Computer-Assisted Humans Mice Anti-Inflammatory Agents Neuroinflammatory Diseases Animals Drug Evaluation, Preclinical Microglia Deep Learning Neurons
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Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials.

Nature communications Mar 20, 2025
Concerns regarding chronic injuries (e.g., fibrosis and carcinogenesis) induced by nanoparticles raised public health concerns and need to be rapidly assessed in hazard identification. Although in silico analysis is commonly used for risk assessment ...
Interleukin-1beta Metal Nanoparticles Oxides Pulmonary Fibrosis Transforming Growth Factor beta1 Nanostructures Lung Mice Mice, Inbred C57BL Epithelial Cells Female Animals Risk Assessment Humans Machine Learning Macrophages
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AI-Assisted Label-Free Monitoring Bone Mineral Metabolism on Demineralized Bone Paper.

ACS biomaterials science & engineering Mar 19, 2025
Effective drug development for bone-related diseases, such as osteoporosis and metastasis, is hindered by the lack of physiologically relevant in vitro models. Traditional platforms, including standard tissue culture plastic, fail to replicate the st...
Calcification, Physiologic Osteoclasts Animals Mice Paper Osteogenesis Collagen Osteoblasts Humans Bone and Bones Artificial Intelligence Machine Learning
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Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility.

PLoS genetics Mar 19, 2025
Deep learning techniques are increasingly utilized to analyze large-scale single-cell RNA sequencing (scRNA-seq) data, offering valuable insights from complex transcriptome datasets. Geneformer, a pre-trained model using a Transformer Encoder archite...
Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis Humans Animals Species Specificity RNA-Seq Mice Sequence Analysis, RNA
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Complex wound analysis using AI.

Computers in biology and medicine Mar 18, 2025
Impaired wound healing is a significant clinical challenge. Standard wound analysis approaches are macroscopic, with limited histological assessments that rely on visual inspection of haematoxylin and eosin (H&E)-stained sections of biopsies. The ana...
Image Processing, Computer-Assisted Mice Wound Healing Biopsy Neural Networks, Computer Animals Deep Learning Wounds and Injuries Humans
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