AIMC Journal:
Veterinary research communications

Showing 1 to 9 of 9 articles

From traditional histopathology to virtual staining: deep learning approaches for assessing tissue lesions in farmed fish.

Veterinary research communications Oct 7, 2026
Pesticides in aquaculture water and feed primarily induce chronic, sublethal toxicity rather than acute mortality, impairing growth, immune function, and tissue integrity. Consequently, organ-specific histopathological biomarkers are essential for ec...
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Evolution of swine influenza surveillance and one health governance in Taiwan: from zoonotic risk management to integrated preparedness.

Veterinary research communications Jul 22, 2026
Influenza A viruses (IAVs) remain a persistent global threat because of rapid antigenic change, frequent genetic reassortment, and cross-species transmission. Swine act as key "mixing vessels," permitting co-infection with avian and human strains and...
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Automated fish disease diagnosis in aquaculture using convolutional neural networks: a narrative review of methods, applications, and challenges.

Veterinary research communications Jul 8, 2026
This narrative review explores advanced Artificial Intelligence (AI) tools, particularly Convolutional Neural Network (CNN), for automated fish disease diagnosis, including key technologies, clinical applications, ethical constraints, and future insi...
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Embryo transfer in dairy herds: a comprehensive review of factors affecting pregnancy success from donor to embryo and recipient.

Veterinary research communications Jun 17, 2026
Embryo transfer (ET) is a fundamental biotechnology in modern dairy production, utilized to maximize the propagation of superior genetics and circumvent fertility limitations associated with high milk production. The physiological, environmental, and...
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Spatio-temporal ensemble machine learning forecasts of animal leptospirosis in enzootic Indian States using integrated environmental predictors.

Veterinary research communications May 27, 2026
Leptospirosis is a significant zoonotic disease in India, with Gujarat and Karnataka recognised as enzootic states experiencing recurrent animal and human outbreaks. This study applied a spatio-temporal ensemble machine learning framework to monthly ...
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Integrating biomarkers and artificial intelligence for precision diagnostics in cattle health and herd management: a review.

Veterinary research communications May 14, 2026
Early and accurate diagnosis of major production diseases in cattle, many of which may be subclinical, such as mastitis, ketosis, and bovine respiratory disease (BRD), is essential for herd efficiency, animal welfare, and long-term sustainability. Co...
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Deep learning for stenotic nares classification in brachycephalic dogs.

Veterinary research communications Apr 23, 2026
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Deep learning-driven automated detection of canine cardiac murmurs via digital wireless stethoscope auscultation.

Veterinary research communications Mar 3, 2026
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Exploratory identification of intestinal health and productive performance patterns in post-weaning piglets using explainable machine learning.

Veterinary research communications Feb 4, 2026
Weaning is a critical stage in swine production, characterized by intestinal alterations that affect piglet health and performance. In this study, machine learning techniques were applied to identify joint patterns between gut health and productivity...
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