AIMC Topic: Mice, Inbred BALB C

Clear Filters Showing 11 to 20 of 50 articles

Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

Nature biomedical engineering Mar 11, 2021
The de novo design of antimicrobial therapeutics involves the exploration of a vast chemical repertoire to find compounds with broad-spectrum potency and low toxicity. Here, we report an efficient computational method for the generation of antimicrob...
Drug Discovery Deep Learning Microbial Sensitivity Tests Anti-Bacterial Agents Mice Structure-Activity Relationship Klebsiella pneumoniae Molecular Dynamics Simulation Amino Acid Sequence Pseudomonas aeruginosa Acinetobacter baumannii Drug Resistance, Bacterial Female Klebsiella Infections Animals Escherichia coli Drug Design Staphylococcus aureus Mice, Inbred BALB C Antimicrobial Cationic Peptides
View on PubMed DOI

Automated detection of mouse scratching behaviour using convolutional recurrent neural network.

Scientific reports Jan 12, 2021
Scratching is one of the most important behaviours in experimental animals because it can reflect itching and/or psychological stress. Here, we aimed to establish a novel method to detect scratching using deep neural network. Scratching was elicited ...
Male Mice Lysophospholipids Disease Models, Animal Mice, Inbred BALB C Pruritus Behavior, Animal Dermatitis, Atopic Neural Networks, Computer Female Animals
View on PubMed DOI

Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.

ACS applied bio materials Oct 1, 2020
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...
Burns Biocompatible Materials Wound Healing Animals Polyethylene Glycols Disease Models, Animal Micelles Male Lignin Mice, Inbred BALB C Nanogels Hydrogels Mice Particle Size Rheology Antioxidants Skin
View on PubMed DOI

A novel method based on infrared spectroscopic inception-resnet networks for the detection of the major fish allergen parvalbumin.

Food chemistry Sep 6, 2020
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on infrared spectroscopy (IR) for rapid and specific detection of the fish allergen parvalbumin. SDS-PAGE and ELISA were used to validate the new method. T...
Support Vector Machine Food Analysis Mice, Inbred BALB C Food Hypersensitivity Fishes Neural Networks, Computer Reproducibility of Results Animals Mice Enzyme-Linked Immunosorbent Assay Fish Products Parvalbumins Allergens Fish Proteins Electrophoresis, Polyacrylamide Gel Spectrophotometry, Infrared
View on PubMed DOI

A Genome-Based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates.

mBio Aug 25, 2020
Variation in the genome of , an important pathogen, can have dramatic impacts on the bacterium's ability to cause disease. We therefore asked whether it was possible to predict the virulence of isolates based on their genomic content. We applied a m...
Virulence Pseudomonas aeruginosa Proof of Concept Study Pseudomonas Infections Genome, Bacterial Mice Genomics Bacteremia Mice, Inbred BALB C Machine Learning Algorithms Phenotype Female Animals
View on PubMed DOI

Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks.

Biomolecules Jun 19, 2020
Deep-learning workflows of microscopic image analysis are sufficient for handling the contextual variations because they employ biological samples and have numerous tasks. The use of well-defined annotated images is important for the workflow. Cancer...
Mice, Inbred BALB C Image Processing, Computer-Assisted Optical Imaging Lung Neoplasms Tumor Cells, Cultured Mice Green Fluorescent Proteins Neoplastic Stem Cells Mice, Nude Female Animals Deep Learning
View on PubMed DOI

Machine learning derived input-function in a dynamic F-FDG PET study of mice.

Biomedical physics & engineering express Jan 13, 2020
Tracer kinetic modelling, based on dynamic F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is used to quantify glucose metabolism in humans and animals. Knowledge of the arterial input-function (AIF) is required for such measurements. O...
Arteries Algorithms Computer Simulation Mice, Inbred BALB C Female Machine Learning Radiopharmaceuticals Animals Positron-Emission Tomography Mice Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18
View on PubMed DOI

Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Physics in medicine and biology Sep 19, 2019
Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution of two tracers in the body by a single scan, which can improve the clinical accuracy of disease diagnosis and can also serve as a research tool for sc...
Humans Neural Networks, Computer Algorithms Brain Tomography, X-Ray Computed Female Animals Deep Learning Mice, Inbred BALB C Cell Line, Tumor Positron-Emission Tomography Imaging, Three-Dimensional Monte Carlo Method Image Processing, Computer-Assisted Neoplasm Transplantation Mice
View on PubMed DOI

Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes.

Cancer immunology research Sep 12, 2019
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility complex (MHC) binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity usi...
T-Lymphocytes, Cytotoxic Female Animals Male Neoplasms Mice, Inbred BALB C Epitopes, T-Lymphocyte Mice, Inbred C57BL Peptide Fragments Humans Histocompatibility Antigens Class I Mice Machine Learning Histocompatibility Antigens Class II Computational Biology Algorithms Cancer Vaccines Antigens, Neoplasm
View on PubMed DOI

Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jul 8, 2019
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastases using nanoparticles could offer a way to stop metastatic tumor growth before it causes excessive patient morbidity. However, nanoparticle delivery t...
Lung Neoplasms Mice Nanoparticles Mice, Inbred BALB C Machine Learning Female Neoplasm Micrometastasis Image Interpretation, Computer-Assisted Animals Liver Neoplasms Imaging, Three-Dimensional
View on PubMed DOI
Popular Topics
Recent Journals