AIMC Topic: Mice

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Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications.

Advanced biology Mar 31, 2025
Synthetic cells (SCs), developed through bottom-up synthetic biology, hold great potential for biomedical applications, with the promise of replacing malfunctioning natural cells and treating diseases with spatiotemporal control. Currently, most SC s...
Mice Robotics Synthetic Biology Artificial Cells Machine Learning Animals
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Deep structural brain imaging via computational three-photon microscopy.

Journal of biomedical optics Mar 29, 2025
SIGNIFICANCE: High-resolution optical imaging at significant depths is challenging due to scattering, which impairs image quality in living matter with complex structures. We address the need for improved imaging techniques in deep tissues.
Brain Animals Image Processing, Computer-Assisted Mice Deep Learning Imaging, Three-Dimensional Microscopy, Fluorescence, Multiphoton Hippocampus Neuroimaging Signal-To-Noise Ratio
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Unveiling the power of Treg.Sig: a novel machine-learning derived signature for predicting ICI response in melanoma.

Frontiers in immunology Mar 28, 2025
BACKGROUND: Although immune checkpoint inhibitor (ICI) represents a significant breakthrough in cancer immunotherapy, only a few patients benefit from it. Given the critical role of Treg cells in ICI treatment resistance, we explored a Treg-associate...
Animals STAT1 Transcription Factor Immune Checkpoint Inhibitors T-Lymphocytes, Regulatory Gene Expression Profiling Mice Drug Resistance, Neoplasm Transcriptome Humans Gene Expression Regulation, Neoplastic Machine Learning Melanoma
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Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning.

Nature communications Mar 26, 2025
Regional responses to inhaled toxicants are essential to understand the pathogenesis of lung disease under exposure to air pollution. We evaluate the effect of combined allergen sensitization and ozone exposure on eliciting spatial differences in lip...
Lipid Metabolism Allergens Lipidomics Mice, Inbred C57BL Lipids Ozone Female Humans Asthma Machine Learning Animals Mice Male Mass Spectrometry Lung
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Improved MRI detection of inflammation-induced changes in bone marrow microstructure in mice: a machine learning-enhanced T2 distribution analysis.

European radiology experimental Mar 26, 2025
BACKGROUND: We investigated inflammation-induced changes in femoral hematopoietic bone marrow using advanced magnetic resonance imaging (MRI) techniques, including T2-weighted imaging, scalar T2 mapping, and machine learning-enhanced T2 distribution ...
Bone Marrow Machine Learning Female Animals Magnetic Resonance Imaging Mice, Inbred C57BL Mice Inflammation
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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...
Gene Expression Profiling Transcriptome Gene Regulatory Networks Machine Learning Animals Humans Molecular Docking Simulation Ischemic Stroke Mice Nucleotides Computational Biology Multiomics
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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...
Chagas Disease Electrocardiography Disease Models, Animal Trypanosoma cruzi Echocardiography Deep Learning Mice Humans Animals
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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 Machine Learning Biomarkers Aging Computational Biology Gene Expression Profiling Quadriceps Muscle Mice Aged Adipogenesis Animals Male
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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...
Deep Learning Mice Models, Neurological Neural Networks, Computer Animals Visual Pathways Goals Geniculate Bodies Visual Perception
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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...
Signal Processing, Computer-Assisted Phospholipids Microbubbles Sulfur Hexafluoride Ultrasonography Mice Contrast Media Drug Delivery Systems Animals Machine Learning Multiple-Instance Learning Algorithms Blood-Brain Barrier
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