AIMC Topic: Cats
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Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.
Journal of veterinary internal medicine
Sep 26, 2019
BACKGROUND: Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.
Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.
Australian veterinary journal
Jun 17, 2019
BACKGROUND: Currently there is an incomplete understanding of antimicrobial usage patterns in veterinary clinics in Australia, but such knowledge is critical for the successful implementation and monitoring of antimicrobial stewardship programs.
A probabilistic recurrent neural network for decoding hind limb kinematics from multi-segment recordings of the dorsal horn neurons.
Journal of neural engineering
Mar 8, 2019
OBJECTIVE: Providing accurate and robust estimates of limb kinematics from recorded neural activities is prominent in closed-loop control of functional electrical stimulation (FES). A major issue in providing accurate decoding the limb kinematics is ...
Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.
The Science of the total environment
Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Giardia duodenalis assemblages in cats from Virginia, USA.
Veterinary parasitology, regional studies and reports
Dec 18, 2018
Giardia duodenalis is considered a species complex that is divided into 8 genetically distinct but morphologically identical assemblages (A-H). Assemblages C-H are generally host adapted, while A and B infect both people and animals and are considere...
MoDL: Model-Based Deep Learning Architecture for Inverse Problems.
IEEE transactions on medical imaging
Aug 13, 2018
We introduce a model-based image reconstruction framework with a convolution neural network (CNN)-based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitr...
Prevalence and genotypes of Giardia lamblia from stray dogs and cats in Guangdong, China.
Veterinary parasitology, regional studies and reports
Apr 3, 2018
Giardia lamblia is a worldwide zoonotic intestinal parasite that infects humans and a wide range of mammals including dogs and cats, causing giardiasis with diarrhea. To investigate the infection and distribution of G. lamblia genotypes from stray do...
Evaluation of Decoding Algorithms for Estimating Bladder Pressure from Dorsal Root Ganglia Neural Recordings.
Annals of biomedical engineering
Nov 27, 2017
A closed-loop device for bladder control may offer greater clinical benefit compared to current open-loop stimulation devices. Previous studies have demonstrated the feasibility of using single-unit recordings from sacral-level dorsal root ganglia (D...
Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats.
Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc
Oct 3, 2016
Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases in cats. The very similar clinical signs and histopathologic features of these diseases make the distinction between them diagnostically challenging. ...
Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.
The veterinary quarterly
Dec 1, 2025
Study advances current diagnostic efficiency of canine/feline (sub-)cutaneous tumors using machine learning and multimodal imaging data. White light (WL), fluorescence (FL) and ultrasound (US) imaging were combined into hybrid approaches to different...
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