A5046163533- Animal Behavior and Welfare Studies
- Effects of Environmental Stressors on Livestock
- Insect and Pesticide Research
- Animal Disease Management and Epidemiology
- Escherichia coli research studies
- Genetic and phenotypic traits in livestock
- Dermatology and Skin Diseases
- Viral gastroenteritis research and epidemiology
- Salmonella and Campylobacter epidemiology
- Nail Diseases and Treatments
- Reproductive Physiology in Livestock
- Plant and fungal interactions
- Milk Quality and Mastitis in Dairy Cows
- Vector-Borne Animal Diseases
- Gut microbiota and health
- Mycobacterium research and diagnosis
- Food Supply Chain Traceability
- Insect and Arachnid Ecology and Behavior
- Adrenal Hormones and Disorders
- Allergic Rhinitis and Sensitization
- Advanced Biosensing Techniques and Applications
- Cutaneous Melanoma Detection and Management
- Poxvirus research and outbreaks
- Bacteriophages and microbial interactions
- Ruminant Nutrition and Digestive Physiology
University of Wisconsin–Madison
2014-2025
Chungnam National University
2009
ABSTRACT Infections caused by the Mycobacterium avium complex (MAC) are on rise in both human and veterinary medicine. A means of effectively discriminating among closely related yet pathogenetically diverse members MAC would enable better diagnosis treatment as well further our understanding epidemiology these pathogens. In this study, a five-target multiplex PCR designed to discriminate organisms isolated from liquid culture media was developed. This amplify 16S rRNA gene target common all...
How pathogens evolve their virulence to humans in nature is a scientific issue of great medical and biological importance. Shiga toxin (Stx)-producing Escherichia coli (STEC) enteropathogenic E. (EPEC) are the major foodborne that can cause hemolytic uremic syndrome infantile diarrhea, respectively. The locus enterocyte effacement (LEE)-encoded type 3 secretion system (T3SS) determinant EPEC also possessed by STEC lineages. Cattle thought be primary reservoir EPEC. However, genome sequences...
Abstract The aim of the study was to deploy computer vision models for real-time detection digital dermatitis (DD) lesions in cows using Android or iOS mobile applications. Early DD dairy is crucial prompt treatment and animal welfare. apps could facilitate routine early cows’ feet on beef farms. Upon detecting signs DD, farmers implement preventive methods, including foot baths, topical treatment, hoof trimming, quarantining affected by prevent its spread. We applied transfer-learning image...
Digital dermatitis (DD) is linked to severe lameness, infertility, and decreased milk production in cattle. Early detection of DD provides an improved prognosis for treatment recovery; however, this extremely challenging on commercial dairy farms. Computer vision (COMV) models can help facilitate early The aim study was develop implement a novel COMV tool identify lesions farm. Using database more than 3,500 lesion images, model trained using the YOLOv2 architecture detect M-stages DD....
Bovine digital dermatitis (DD) is a contagious and multifactorial disease that leads to painful, ulcerative lesions of the skin near heel-horn border foot, most commonly in dairy cattle. With regard beef cattle, pathogenesis etiology DD has not been widely reported or studied over past several decades. A longitudinal field trial commercial feedlot was conducted compare prevalence effects steers provided diet supplemented with novel formulation inorganic organic trace mineral sources (OTM...
Bovine digital dermatitis (DD) is a severe infectious cause of lameness in cattle worldwide, with important economic and welfare consequences. There are three treponeme phylogroups (T. pedis, T. phagedenis, medium) that implicated playing an causative role DD. This study was conducted to develop real-time PCR loop-mediated isothermal amplification (LAMP) assays for the detection differentiation associated The phylogroup targeted 16S-23S rDNA intergenic space (ITS) pedis flagellin gene...
Sensors in automated liquid culture systems for mycobacteria, such as MGIT, BacT/Alert 3D, and Trek ESP II, flag growth of any type bacteria; a positive signal does not mean that the target mycobacteria are present. All signal-positive cultures thus require additional often laborious testing. An immunoassay was developed to screen mycobacterial evidence Mycobacterium avium complex (MAC). The method, called MAC-enzyme-linked immunosorbent assay (ELISA), relies on detection MAC-specific...
Bovine Digital Dermatitis (DD) is an infectious disease causing severe lameness in cattle. The aim of this study was to perform a Genome Wide Association Study (GWAS) and Gene-Set Enrichment Analysis (GSEA) identify candidate genes, instead individual Single Nucleotide Polymorphism (SNP),
Digital dermatitis (DD) poses a major animal welfare concern for the dairy industry, with even broader economic implications agricultural industry worldwide. The postbiotic, Saccharomyces cerevisiae fermentation product (SCFP), has had positive influence on innate immune system of cattle, which makes it potential candidate as feed supplement part prevention strategy DD. This study investigated effect commercial SCFP compared to control production pro-inflammatory cytokines (IL-1β and IL-6)...
Digital dermatitis (DD) is one of the most prevalent types hoof lesion reported in dairy cows. This higher prevalence herds consequential, as DD can not only lead be painful and to lameness severe instance, but has also been found have a negative long-term impact on reproductive performance longevity. However, first instance cows with no previous history these outcomes largely unknown, studies do account or chronicity. The objective this study was evaluate effect occurrence 60 days milk...
Abstract Background Artificial intelligence (AI) has been used successfully in human dermatology. AI utilises convolutional neural networks (CNN) to accomplish tasks such as image classification, object detection and segmentation, facilitating early diagnosis. Computer vision (CV), a field of AI, shown great results detecting signs skin diseases. Canine paw diseases are common problem general veterinary practice, computer tools could facilitate the monitoring disease processes. Currently, no...