AIMC Topic: Mice

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Identification of Glucose Transport Modulators In Vitro and Method for Their Deep Learning Neural Network Behavioral Evaluation in Glucose Transporter 1-Deficient Mice.

The Journal of pharmacology and experimental therapeutics Jan 12, 2023
Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter 1 (Glut1) deficiency syndrome (G1D) and dementia, whereas suppression might prove useful in cancer. Using lung adenocarcinoma cells that predominantl...
Deep Learning Mice Glucose Humans Animals Monosaccharide Transport Proteins Carbohydrate Metabolism, Inborn Errors Glucose Transporter Type 1
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A Layered, Hybrid Machine Learning Analytic Workflow for Mouse Risk Assessment Behavior.

eNeuro Jan 9, 2023
Accurate and efficient quantification of animal behavior facilitates the understanding of the brain. An emerging approach within machine learning (ML) field is to combine multiple ML-based algorithms to quantify animal behavior. These so-called hybri...
Algorithms Reproducibility of Results Machine Learning Mice Animals Workflow Risk Assessment Markov Chains
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Quantitative Mass Spectrometry Imaging Using Multivariate Curve Resolution and Deep Learning: A Case Study.

Journal of the American Society for Mass Spectrometry Jan 3, 2023
In the present contribution, a novel approach based on multivariate curve resolution and deep learning (DL) is proposed for quantitative mass spectrometry imaging (MSI) as a potent technique for identifying different compounds and creating their dist...
Chlordecone Deep Learning Mice Gas Chromatography-Mass Spectrometry Animals Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Least-Squares Analysis
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Raman microspectroscopy and machine learning for use in identifying radiation-induced lung toxicity.

PloS one Dec 30, 2022
OBJECTIVE: In this work, we explore and develop a method that uses Raman spectroscopy to measure and differentiate radiation induced toxicity in murine lungs with the goal of setting the foundation for a predictive disease model.
Mice Radiation Injuries Animals Spectrum Analysis, Raman Machine Learning Lung Algorithms
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3D Soma Detection in Large-Scale Whole Brain Images via a Two-Stage Neural Network.

IEEE transactions on medical imaging Dec 29, 2022
3D soma detection in whole brain images is a critical step for neuron reconstruction. However, existing soma detection methods are not suitable for whole mouse brain images with large amounts of data and complex structure. In this paper, we propose a...
Mice Neurons Animals Image Processing, Computer-Assisted Neural Networks, Computer Brain
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Noninvasive Tracking of Every Individual in Unmarked Mouse Groups Using Multi-Camera Fusion and Deep Learning.

Neuroscience bulletin Dec 26, 2022
Accurate and efficient methods for identifying and tracking each animal in a group are needed to study complex behaviors and social interactions. Traditional tracking methods (e.g., marking each animal with dye or surgically implanting microchips) ca...
Deep Learning Neural Networks, Computer Mice Algorithms Zebrafish Animals Social Behavior
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Automated quantification and statistical assessment of proliferating cardiomyocyte rates in embryonic hearts.

American journal of physiology. Heart and circulatory physiology Dec 23, 2022
The use of digital image analysis and count regression models contributes to the reproducibility and rigor of histological studies in cardiovascular research. The use of formalized computer-based quantification strategies of histological images essen...
Mice Myocytes, Cardiac Animals Image Processing, Computer-Assisted Artificial Intelligence Algorithms Reproducibility of Results
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Cross-species cell-type assignment from single-cell RNA-seq data by a heterogeneous graph neural network.

Genome research Dec 16, 2022
Cross-species comparative analyses of single-cell RNA sequencing (scRNA-seq) data allow us to explore, at single-cell resolution, the origins of the cellular diversity and evolutionary mechanisms that shape cellular form and function. Cell-type assig...
Humans Neural Networks, Computer Animals Gene Expression Profiling Biomarkers Sequence Analysis, RNA Single-Cell Gene Expression Analysis Genome Mice Single-Cell Analysis Gene Regulatory Networks
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Population codes enable learning from few examples by shaping inductive bias.

eLife Dec 16, 2022
Learning from a limited number of experiences requires suitable inductive biases. To identify how inductive biases are implemented in and shaped by neural codes, we analyze sample-efficient learning of arbitrary stimulus-response maps from arbitrary ...
Mice Bias Brain Animals Artificial Intelligence
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Pattern recognition of topologically associating domains using deep learning.

BMC bioinformatics Dec 8, 2022
BACKGROUND: Recent increasing evidence indicates that three-dimensional chromosome structure plays an important role in genomic function. Topologically associating domains (TADs) are self-interacting regions that have been shown to be a chromosomal s...
Deep Learning Mice Genomics Humans Animals
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