Abstract

Veterinary diagnostics play a crucial role in the early detection, accurate diagnosis, and effective management of diseases in animals. Recent advancements in diagnostic technologies have revolutionized veterinary medicine, offering veterinarians and researchers powerful tools to improve animal health outcomes. This article reviews the latest developments in veterinary diagnostics, including molecular techniques, imaging modalities, and point-of-care devices. It discusses their applications in the diagnosis of infectious diseases, cancer, metabolic disorders, and other health conditions in diverse animal species. Additionally, the article explores the integration of artificial intelligence and machine learning algorithms in veterinary diagnostics, highlighting their potential to enhance diagnostic accuracy and efficiency. The challenges and future directions in veterinary diagnostics research are also discussed, emphasizing the importance of continuous innovation and collaboration between veterinary and biomedical sciences.