AIMC Topic: Mice

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Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.

IEEE transactions on medical imaging Jan 2, 2025
Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Despite the remarkable achievements of deep learning-based non-blind denoising methods, their performance drops significantly when domain shifts exist bet...
Humans Algorithms Image Processing, Computer-Assisted Mice Unsupervised Machine Learning Signal-To-Noise Ratio Brain Animals Deep Learning
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A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology.

PloS one Dec 31, 2024
The motility of macrophages in response to microenvironment stimuli is a hallmark of innate immunity, where macrophages play pro-inflammatory or pro-reparatory roles depending on their activation status during wound healing. Cell size and shape have ...
Image Processing, Computer-Assisted Mice Support Vector Machine Mice, Inbred C57BL Cell Differentiation Cell Shape Cell Movement Interleukin-4 Lipopolysaccharides Macrophages Animals
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Machine learning and confirmatory factor analysis show that buprenorphine alters motor and anxiety-like behaviors in male, female, and obese C57BL/6J mice.

Journal of neurophysiology Dec 30, 2024
Buprenorphine is an opioid approved for medication-assisted treatment of opioid use disorder. Used off-label, buprenorphine has been reported to contribute to the clinical management of anxiety. Although human anxiety is a highly prevalent disorder, ...
Mice, Inbred C57BL Obesity Factor Analysis, Statistical Animals Analgesics, Opioid Buprenorphine Machine Learning Male Anxiety Motor Activity Female Behavior, Animal Mice
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Trans-m5C: A transformer-based model for predicting 5-methylcytosine (m5C) sites.

Methods (San Diego, Calif.) Dec 30, 2024
5-Methylcytosine (m5C) plays a pivotal role in various RNA metabolic processes, including RNA localization, stability, and translation. Current high-throughput sequencing technologies for m5C site identification are resource-intensive in terms of cos...
RNA High-Throughput Nucleotide Sequencing 5-Methylcytosine Deep Learning Mice Computational Biology Humans Neural Networks, Computer Animals
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Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery.

Nature communications Dec 30, 2024
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines. Its key ingredient, ionizable lipids, is traditionally optimized by inefficient and costly experimental screening. This study leverages artificial i...
COVID-19 Vaccines RNA, Messenger Nanoparticles Lipids SARS-CoV-2 Animals Mice Structure-Activity Relationship Liposomes COVID-19 Female Humans Artificial Intelligence
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Application of deep learning models on single-cell RNA sequencing analysis uncovers novel markers of double negative T cells.

Scientific reports Dec 28, 2024
Double negative T (DNT) cells are a unique subset of CD3 + TCRαβ + T lymphocytes that lack CD4, CD8, or NK1.1 expression and constitute 3-5% of the total T cell population in C57BL/6 mice. They have increasingly gained recognition for their novel rol...
Animals Deep Learning Single-Cell Analysis Mice Biomarkers Sequence Analysis, RNA Mice, Inbred C57BL
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Unraveling Microplastic Effects on Gut Microbiota across Various Animals Using Machine Learning.

ACS nano Dec 26, 2024
Microplastics, rapidly expanding and durable pollutant, have been shown to significantly impact gut microbiota across a spectrum of animal species. However, comprehensive analyses comparing microplastic effects on gut microbiota among these species a...
Microplastics Animals Machine Learning Mice Gastrointestinal Microbiome
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Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model.

Chinese medical journal Dec 23, 2024
BACKGROUND: Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important characteristic of acute glaucoma. Receptor-interacting protein kinase 3 (RIPK3) that mediates necroptosis is a potential therapeutic target for RGC deat...
Retinal Ganglion Cells Receptor-Interacting Protein Serine-Threonine Kinases Neuroprotective Agents Disease Models, Animal Mice, Inbred C57BL Glaucoma Molecular Docking Simulation Animals Artificial Intelligence Mice Male
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Integrating machine learning with bioinformatics for predicting idiopathic pulmonary fibrosis prognosis: developing an individualized clinical prediction tool.

Experimental biology and medicine (Maywood, N.J.) Dec 23, 2024
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. Its non-specific clinical symptoms make accurate prediction of disease progression challenging. This study aimed to develop molecular-level prognostic m...
Idiopathic Pulmonary Fibrosis Bleomycin Mice, Inbred C57BL Humans Animals Prognosis Computational Biology Transcriptome Machine Learning Female Disease Models, Animal Male Mice Precision Medicine Aged Middle Aged
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Identification and experimental validation of diagnostic and prognostic genes CX3CR1, PID1 and PTGDS in sepsis and ARDS using bulk and single-cell transcriptomic analysis and machine learning.

Frontiers in immunology Dec 23, 2024
BACKGROUND: Sepsis is an uncontrolled reaction to infection that causes severe organ dysfunction and is a primary cause of ARDS. Patients suffering both sepsis and ARDS have a poor prognosis and high mortality. However, the mechanisms behind their si...
Humans Machine Learning Biomarkers Mice, Inbred C57BL Prognosis Respiratory Distress Syndrome CX3C Chemokine Receptor 1 Animals Gene Expression Profiling Transcriptome Sepsis Gene Regulatory Networks Single-Cell Analysis Mice
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