AIMC Topic: Mice

Clear Filters Showing 491 to 500 of 1503 articles

U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets.

PloS one Oct 12, 2023
Identification and quantitative segmentation of individual blood vessels in mice visualized with preclinical imaging techniques is a tedious, manual or semiautomated task that can require weeks of reviewing hundreds of levels of individual data sets....
Brain Animals Image Processing, Computer-Assisted Neural Networks, Computer Mice Magnetic Resonance Imaging
View on PubMed DOI

Prediction of Multiple Types of RNA Modifications via Biological Language Model.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2023
It has been demonstrated that RNA modifications play essential roles in multiple biological processes. Accurate identification of RNA modifications in the transcriptome is critical for providing insights into the biological functions and mechanisms. ...
Mice RNA Saccharomyces cerevisiae Arabidopsis Pseudouridine Artificial Intelligence Animals Transcriptome
View on PubMed DOI

Quantifying innervation facilitated by deep learning in wound healing.

Scientific reports Oct 6, 2023
The peripheral nerves (PNs) innervate the dermis and epidermis, and are suggested to play an important role in wound healing. Several methods to quantify skin innervation during wound healing have been reported. Those usually require multiple observe...
Animals Deep Learning Mice Nerve Fibers Wound Healing Peripheral Nerves Skin
View on PubMed DOI

TFEB/LAMP2 contributes to PM-induced autophagy-lysosome dysfunction and alpha-synuclein dysregulation in astrocytes.

Journal of environmental sciences (China) Oct 5, 2023
Atmospheric particulate matter (PM) exacerbates the risk factor for Alzheimer's and Parkinson's diseases (PD) by promoting the alpha-synuclein (α-syn) pathology in the brain. However, the molecular mechanisms of astrocytes involvement in α-syn pathol...
Mice, Inbred ICR Autophagy Lysosomes Air Pollutants Animals Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Astrocytes Mice Lysosomal-Associated Membrane Protein 2 alpha-Synuclein Particulate Matter
View on PubMed DOI

DensePPI: A Novel Image-Based Deep Learning Method for Prediction of Protein-Protein Interactions.

IEEE transactions on nanobioscience Oct 3, 2023
Protein-protein interactions (PPI) are crucial for understanding the behaviour of living organisms and identifying disease associations. This paper proposes DensePPI, a novel deep convolution strategy applied to the 2D image map generated from the in...
Caenorhabditis elegans Animals Deep Learning Protein Interaction Mapping Mice Humans Escherichia coli Proteins
View on PubMed DOI

A Deep Learning Approach for Neuronal Cell Body Segmentation in Neurons Expressing GCaMP Using a Swin Transformer.

eNeuro Sep 26, 2023
Neuronal cell body analysis is crucial for quantifying changes in neuronal sizes under different physiological and pathologic conditions. Neuronal cell body detection and segmentation mainly rely on manual or pseudo-manual annotations. Manual annotat...
Axons Cell Body Humans Deep Learning Algorithms Mice Animals Neurons
View on PubMed DOI

Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.

Anatomical record (Hoboken, N.J. : 2007) Sep 25, 2023
Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function mutations localized in the transmembrane domain of fibroblast growth factor receptor 3 (FGFR3) leading to constitutive activation of FGFR3 and subseq...
Animals Mice Disease Models, Animal Skull X-Ray Microtomography Achondroplasia Receptor, Fibroblast Growth Factor, Type 3 Mutation Cartilage
View on PubMed DOI

Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology.

Biology open Sep 21, 2023
This study focuses on ischaemia-reperfusion injury (IRI) in kidneys, a cause of acute kidney injury (AKI) and end-stage kidney disease (ESKD). Traditional kidney damage assessment methods are semi-quantitative and subjective. This study aims to use a...
Deep Learning Mice Disease Models, Animal Acute Kidney Injury Animals Reperfusion Injury Semantics Necrosis
View on PubMed DOI

Discrimination of human and animal bloodstains using hyperspectral imaging.

Forensic science, medicine, and pathology Sep 18, 2023
Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly ...
Animals Swine Cattle Mice Rats Humans Forensic Medicine Support Vector Machine Hyperspectral Imaging Rabbits Blood Stains
View on PubMed DOI

An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data.

BMC bioinformatics Sep 18, 2023
BACKGROUND: The ability to accurately predict essential genes intolerant to loss-of-function (LOF) mutations can dramatically improve the identification of disease-associated genes. Recently, there have been numerous computational methods developed t...
Animals Genes, Essential Deep Learning Genomics Humans Mice Cell Line Metagenomics
View on PubMed DOI
Popular Topics
Recent Journals