AIMC Topic: Mice

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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...
Mice Sequence Analysis, RNA Species Specificity Humans Animals Gene Expression Profiling Single-Cell Analysis RNA-Seq Transcriptome Deep Learning
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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...
Humans Neural Networks, Computer Mice Biopsy Wound Healing Animals Wounds and Injuries Deep Learning Image Processing, Computer-Assisted
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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...
Proteomics Proteome Mice, Inbred C57BL Myocardium Subcellular Fractions Animals Male Mice Machine Learning
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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...
Animals Imaging, Three-Dimensional Mice Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Metabolomics Metabolome Artificial Intelligence Algorithms Brain
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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 Diabetic Cardiomyopathies Animals Humans Gene Expression Profiling Machine Learning Mice Biomarkers
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Vibrational spectroscopy of body fluids combined with machine learning for the early diagnosis of cystic echinococcosis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 17, 2025
Cystic echinococcosis (CE) is a globally prevalent zoonotic parasitic disease. Due to the covert symptoms and the inadequacies of screening technologies, accurate early diagnosis is crucial. This study explores the feasibility of employing body fluid...
Early Diagnosis Echinococcosis Machine Learning Spectrum Analysis, Raman Biomarkers Spectroscopy, Fourier Transform Infrared Support Vector Machine Animals Body Fluids Mice
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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...
Computational Biology Models, Neurological Mice, Inbred C57BL Supervised Machine Learning Animals Male Mice Purkinje Cells Cerebellum Reward Reinforcement, Psychology Algorithms
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Machine learning-based prediction reveals kinase MAP4K4 regulates neutrophil differentiation through phosphorylating apoptosis-related proteins.

PLoS computational biology Mar 17, 2025
Neutrophils, an essential innate immune cell type with a short lifespan, rely on continuous replenishment from bone marrow (BM) precursors. Although it is established that neutrophils are derived from the granulocyte-macrophage progenitor (GMP), the ...
Humans Machine Learning Animals Phosphorylation Apoptosis Mice Cell Differentiation Mice, Inbred C57BL Computational Biology Mice, Knockout Protein Serine-Threonine Kinases Neutropenia Neutrophils Intracellular Signaling Peptides and Proteins Hematopoietic Stem Cells
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Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.

PLoS computational biology Mar 17, 2025
The ability to process visual stimuli rich with motion represents an essential skill for animal survival and is largely already present at the onset of vision. Although the exact mechanisms underlying its maturation remain elusive, spontaneous activi...
Photic Stimulation Visual Cortex Motion Perception Computational Biology Models, Neurological Retina Animals Neural Networks, Computer Mice
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Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy.

Nature communications Mar 16, 2025
Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting a convenient and effective strategy for cancer therapy. However, therapies based on conventional photosensitizers often suffer from limitations such a...
Mice Immunotherapy Escherichia coli Mice, Inbred BALB C Female Animals Cell Line, Tumor Photochemotherapy Photosensitizing Agents Bionics Theranostic Nanomedicine Robotics Humans Colonic Neoplasms Phototherapy
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