AIMC Topic: Dogs

Clear Filters Showing 101 to 110 of 189 articles

Learning machine approach reveals microbial signatures of diet and sex in dog.

PloS one Aug 17, 2020
The characterization of the microbial population of many niches of the organism, as the gastrointestinal tract, is now possible thanks to the use of high-throughput DNA sequencing technique. Several studies in the companion animals field already inve...
Principal Component Analysis Discriminant Analysis Dogs Microbiota Diet Phylogeny Feces Machine Learning Algorithms Female Animals Male
View on PubMed DOI

Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures.

PloS one Jul 20, 2020
Automated monitoring of the movements and behaviour of animals is a valuable research tool. Recently, machine learning tools were applied to many species to classify units of behaviour. For the monitoring of wild species, collecting enough data for t...
Models, Statistical Machine Learning Dogs Female Behavior, Animal Animals Male
View on PubMed DOI

Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.

Parasites & vectors Jul 11, 2020
BACKGROUND: Fecal examination is an important component of routine companion animal wellness exams. Sensitivity and specificity of fecal examinations, however, are influenced by sample preparation methodologies and the level of training and experienc...
Deep Learning Feces Dogs Dog Diseases Sensitivity and Specificity Animals Helminthiasis, Animal Taenia Toxocara Trichuris Cats Cat Diseases Parasite Egg Count Ancylostoma
View on PubMed DOI

Use of deep learning to detect cardiomegaly on thoracic radiographs in dogs.

Veterinary journal (London, England : 1997) Jul 7, 2020
The purpose of this study was to develop a computer-aided detection (CAD) device based on convolutional neural networks (CNNs) to detect cardiomegaly from plain radiographs in dogs. Right lateral chest radiographs (n = 1465) were retrospectively sele...
Cardiomegaly Radiography, Thoracic Neural Networks, Computer Retrospective Studies Animals Deep Learning Dogs Dog Diseases
View on PubMed DOI

First robot-assisted radical prostatectomy in a client-owned Bernese mountain dog with prostatic adenocarcinoma.

Veterinary surgery : VS Jun 17, 2020
OBJECTIVE: To describe robot-assisted radical prostatectomy (RARP) and report the short-term outcome of a dog with prostatic cancer treated with RARP.
Robotics Prostatic Neoplasms Dogs Dog Diseases Postoperative Complications Prostatectomy Animals Treatment Outcome Urinary Incontinence Male Adenocarcinoma Recovery of Function
View on PubMed DOI

Machine learning-based analyses support the existence of species complexes for and .

Parasitology Jun 16, 2020
Human strongyloidiasis is a serious disease mostly attributable to Strongyloides stercoralis and to a lesser extent Strongyloides fuelleborni, a parasite mainly of non-human primates. The role of animals as reservoirs of human-infecting Strongyloides...
Strongyloides Strongyloides stercoralis Strongyloidiasis Haplotypes RNA, Ribosomal, 18S Multilocus Sequence Typing Disease Reservoirs Primates Genetic Speciation Electron Transport Complex IV Genes, Helminth Genotype Computational Biology Dogs Dog Diseases Animals Phylogeny Feces Humans Machine Learning
View on PubMed DOI

Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay.

Molecular pharmaceutics Jun 12, 2020
The in vitro-in vivo extrapolation (IVIVE) approach for predicting total plasma clearance (CL) has been widely used to rank order compounds early in discovery. More recently, a computational machine learning approach utilizing physicochemical descrip...
Humans Machine Learning Animals Male Blood Proteins Pharmaceutical Preparations Dogs Models, Biological Protein Binding Rats Rats, Sprague-Dawley Liver Permeability Pharmacokinetics Administration, Intravenous Plasma Madin Darby Canine Kidney Cells Microsomes, Liver Metabolic Clearance Rate Hepatocytes Membranes, Artificial
View on PubMed DOI

Differentiation of Cytopathic Effects (CPE) induced by influenza virus infection using deep Convolutional Neural Networks (CNN).

PLoS computational biology May 13, 2020
Cell culture remains as the golden standard for primary isolation of viruses in clinical specimens. In the current practice, researchers have to recognize the cytopathic effects (CPE) induced by virus infection and subsequently use virus-specific mon...
Neural Networks, Computer Animals Antibodies, Monoclonal Dogs Madin Darby Canine Kidney Cells Orthomyxoviridae Orthomyxoviridae Infections Cytopathogenic Effect, Viral
View on PubMed DOI

A Deep Learning Approach for Automated Sleep-Wake Scoring in Pre-Clinical Animal Models.

Journal of neuroscience methods Mar 2, 2020
BACKGROUND: Experimental investigation of sleep-wake dynamics in animals is an important part of pharmaceutical development. Typically, it involves recording of electroencephalogram, electromyogram, locomotor activity, and electrooculogram. Visual id...
Models, Animal Sleep Stages Mice Rats Dogs Sleep Algorithms Animals Deep Learning Neural Networks, Computer
View on PubMed DOI

Description of ultrasound-guided quadratus lumborum block technique and evaluation of injectate spread in canine cadavers.

Veterinary anaesthesia and analgesia Dec 31, 2019
OBJECTIVE: To describe a quadratus lumborum (QL) block technique in canine cadavers and the spread of injectate.
Injections Ultrasonography, Interventional Lumbar Vertebrae Animals Coloring Agents Dogs Nerve Block Spinal Nerves Cadaver Lidocaine
View on PubMed DOI
Popular Topics
Recent Journals