AIMC Topic: Mice

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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...
Microglia Anti-Inflammatory Agents Drug Evaluation, Preclinical Neurons Image Processing, Computer-Assisted Mice Neuroinflammatory Diseases Central Nervous System Animals Humans Deep Learning
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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 ...
Macrophages Female Animals Risk Assessment Oxides Epithelial Cells Humans Pulmonary Fibrosis Interleukin-1beta Machine Learning Transforming Growth Factor beta1 Metal Nanoparticles Lung Nanostructures Mice Mice, Inbred C57BL
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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...
Paper Osteogenesis Collagen Osteoblasts Machine Learning Animals Mice Bone and Bones Calcification, Physiologic Osteoclasts Humans Artificial Intelligence
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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...
Single-Cell Analysis RNA-Seq Mice Sequence Analysis, RNA Gene Expression Profiling Humans Transcriptome Animals Deep Learning Species Specificity
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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...
Wounds and Injuries Neural Networks, Computer Animals Deep Learning Wound Healing Humans Image Processing, Computer-Assisted Biopsy Mice
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Proteomics and Machine Learning-Based Approach to Decipher Subcellular Proteome of Mouse Heart.

Molecular & cellular proteomics : MCP Mar 18, 2025
Protein compartmentalization to distinctive subcellular niches is critical for cardiac function and homeostasis. Here, we employed a rapid and robust workflow based on differential centrifugal-based fractionation with mass spectrometry-based proteomi...
Animals Male Mice, Inbred C57BL Machine Learning Myocardium Subcellular Fractions Mice Proteomics Proteome
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AI-driven framework to map the brain metabolome in three dimensions.

Nature metabolism Mar 18, 2025
High-resolution spatial imaging is transforming our understanding of foundational biology. Spatial metabolomics is an emerging field that enables the dissection of the complex metabolic landscape and heterogeneity from a thin tissue section. Currentl...
Artificial Intelligence Algorithms Brain Animals Metabolome Imaging, Three-Dimensional Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Mice Metabolomics
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Identification and validation of endoplasmic reticulum stress-related diagnostic biomarkers for type 1 diabetic cardiomyopathy based on bioinformatics and machine learning.

Frontiers in endocrinology Mar 18, 2025
BACKGROUND: Diabetic cardiomyopathy (DC) is a serious complication in patients with type 1 diabetes mellitus and has become a growing public health problem worldwide. There is evidence that endoplasmic reticulum stress (ERS) is involved in the pathog...
Computational Biology Diabetes Mellitus, Type 1 Endoplasmic Reticulum Stress Animals Diabetic Cardiomyopathies Humans Gene Expression Profiling Machine Learning Mice Biomarkers
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Probing the dark chemical matter against PDE4 for the management of psoriasis using in silico, in vitro and in vivo approach.

Molecular diversity Mar 17, 2025
The potential downsides for the present treatment for psoriasis are drug resistance, reduced efficacy, risk of mental episodes, and drug interactions. Hence, this study aims to discover a new drug for psoriasis by considering global research efforts ...
Humans Molecular Dynamics Simulation Animals Ligands Molecular Docking Simulation Drug Discovery Phosphodiesterase 4 Inhibitors Mice Cyclic Nucleotide Phosphodiesterases, Type 4 Psoriasis
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Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.

PLoS computational biology Mar 17, 2025
Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, wit...
Purkinje Cells Cerebellum Reward Reinforcement, Psychology Animals Male Mice Mice, Inbred C57BL Supervised Machine Learning Algorithms Computational Biology Models, Neurological
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