AIMC Topic: Dogs
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Robot-Assisted Stereotactic Microinjection Method for Precision Cell Transplantation in Rat and Canine Models.
Cell transplantation
Mar 18, 2025
Cell transplantation is a promising approach for addressing neurodegenerative conditions. In this study, we developed a robot-assisted stereotactic microinjection system for transplanting cells. We evaluated the factors that affect cellular graft via...
Standardizing canine breed data in veterinary records is challenging, but computer vision offers an alternative perspective on breed assignment.
American journal of veterinary research
Feb 21, 2025
Dog breed is fundamental health information, especially in the context of breed-linked diseases. The standardization of breed terminology across health records is necessary to leverage the big data revolution for veterinary research. Breed can also i...
Application of 3D point cloud and visual-inertial data fusion in Robot dog autonomous navigation.
PloS one
Feb 11, 2025
The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments tha...
PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs.
Computers in biology and medicine
Jan 2, 2025
Kidney stone is a common urological disease in dogs and can lead to serious complications such as pyelonephritis and kidney failure. However, manual diagnosis involves a lot of burdens on radiologists and may cause human errors due to fatigue. Automa...
Deep learning-based discovery of compounds for blood pressure lowering effects.
Scientific reports
Jan 2, 2025
The hypotensive side effects caused by drugs during their use have been a vexing issue. Recent studies have found that deep learning can effectively predict the biological activity of compounds by mining patterns and rules in the data, providing a po...
Voice Analysis in Dogs with Deep Learning: Development of a Fully Automatic Voice Analysis System for Bioacoustics Studies.
Sensors (Basel, Switzerland)
Dec 13, 2024
Extracting behavioral information from animal sounds has long been a focus of research in bioacoustics, as sound-derived data are crucial for understanding animal behavior and environmental interactions. Traditional methods, which involve manual revi...
Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network.
PloS one
Dec 3, 2024
Ammonia is widely acknowledged to be a stressor and one of the most detrimental gases in animal enclosures. In livestock- and poultry-breeding facilities, a precise, rapid, and affordable method for detecting ammonia concentrations is essential. We d...
Machine learning approach in canine mammary tumour classification using rapid evaporative ionization mass spectrometry.
Analytical and bioanalytical chemistry
Nov 19, 2024
Rapid evaporative ionization mass spectrometry (REIMS) coupled with a monopolar handpiece used for surgical resection and combined with chemometrics has been previously explored by our research group (Mangraviti et al. in Int J Mol Sci 23(18):10562, ...
Magnetic soft microrobots for erectile dysfunction therapy.
Proceedings of the National Academy of Sciences of the United States of America
Nov 18, 2024
Erectile dysfunction (ED) is a major threat to male fertility and quality of life, and mesenchymal stromal cells (MSCs) are a promising therapeutic option. However, therapeutic outcomes are compromised by low MSC retention and survival rates in corpu...
Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study.
Scientific reports
Nov 15, 2024
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting breast, lung, prostate, and colorectal cancer in breath samples were evaluated in a double-blind study. Breath samples of 1386 participants (59.7% mal...
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