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چکیده اصلی

Martha Rushbrooke, parliamentary veterinary intern to Lord Trees, discusses the House of Lords select committee investigating the environmental impact of veterinary parasiticides.

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PubMed2026

From laboratory to clinical application: a narrative review of bacteriophage therapy for antimicrobial-resistant infections in veterinary medicine.

Antimicrobial resistance poses one of the most critical challenges to global health, particularly within veterinary medicine, where antibiotic misuse contributes significantly to multidrug-resistant infections. Bacteriophages have re-emerged as promising biocontrol agents that can target resistant pathogens while preserving host microbiota and environmental balance. However, despite growing experimental evidence, therapeutic implementa…

PubMed2026

Artificial intelligence and laboratory biomarkers in veterinary medicine: an update about machine learning applications.

The use of artificial intelligence has been a revolution in human medicine in the last years. Machine learning (ML), a subset of artificial intelligence, has allowed the use of a large amount of data to search for associations of clinical significance. Although the use of ML with laboratory biomarkers in veterinary medicine is limited in comparison with the human side, the number of studies published in this field is increasing in rece…

PubMed2026

Beyond the Needle: Is Liquid Biopsy the Future of Veterinary Medicine?

The detection of circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs) is a minimally invasive approach for diagnosing and monitoring cancer. These liquid biopsy-based strategies enable the identification of primary or metastatic tumors and provide valuable information on tumor biology and treatment response. A variety of techniques are employed to analyze components obtained through liquid biopsy. While CTCs are typically d…

PubMed2026

Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.

BACKGROUND: Artificial intelligence (AI) is increasingly explored in veterinary neurology for pattern recognition, prediction and clinical decision support, with relevance to comparative and translational neuroscience. OBJECTIVES: This review examines AI applications in veterinary neurology, compares them with human neurology and evaluates cross-species technology transfer within a One Health framework. METHODS: A narrative review synt…