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Updated: Aug 5, 2026
11:00
High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
Published on: November 28, 2016
Innovations, Applications, and Future Trends in Veterinary Diagnostic Technologies
1State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, Jilin, China, jlu.edu.cn.
Transboundary and Emerging Diseases
|August 3, 2026
Summary
Veterinary diagnostics is evolving beyond pathogen detection to population health surveillance. New technologies like digital PCR and AI are enhancing disease control and public health security.
Area of Science:
- Veterinary medicine
- Diagnostic technology
- Public health
Background:
- Traditional veterinary diagnostics rely on methods like microbial culture and PCR.
- Technological advancements are shifting focus from specific pathogen identification to population health surveillance.
- This shift enables proactive disease control and improved public health security.
Purpose of the Study:
- To systematically review mainstream and emerging veterinary diagnostic technologies.
- To discuss the advantages, limitations, and future directions of these technologies.
- To highlight the benefits of combining multiple diagnostic approaches.
Main Methods:
- Scoping review of veterinary diagnostic technologies.
- Analysis of emerging technologies such as digital PCR (dPCR), CRISPR-Cas, next-generation sequencing (NGS), and metagenomic sequencing.
- Examination of artificial intelligence (AI) and big data integration in diagnostics.
Main Results:
- Novel technologies offer enhanced sensitivity, specificity, and unbiased pathogen discovery.
- AI and big data integration facilitate predictive and preventive health management through multimodal data analysis.
- Combined application of diverse methods is identified as an optimal diagnostic strategy.
Conclusions:
- Veterinary diagnostics are transforming towards continuous population health surveillance.
- Emerging technologies and AI integration are key drivers of this transformation.
- A multi-method approach optimizes veterinary diagnostic capabilities.
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