Publications by authors named "T Ostbye"
Aquaculture is one of the world's fastest-growing sectors in food production but with multiple challenges related to animal handling and infections. The disease caused by infectious salmon anemia virus (ISAV) leads to outbreaks of local epidemics, reducing animal welfare, and causing significant economic losses. The composition of feed has shifted from marine ingredients such as fish oil and fish meal towards a more plant-based diet causing reduced levels of eicosapentaenoic acid (EPA).
View Article and Find Full Text PDFObjectives: International Prehospital Emergency Care (PEC) standards have been primarily developed by and for high resource settings. Most PEC systems in Asia, which are still in the early stages of development, struggle to achieve these standards. There is a need for an evaluation tool which can define achievable basic building blocks for PEC systems in low resource settings to improve quality of PEC.
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- The study investigates MRSA prevalence and molecular epidemiology in livestock farmers, animals, and livestock products in southern Sri Lanka, using a One Health approach that connects human, animal, and environmental health.
- It found a low MRSA colonization prevalence in the region, with 24.0% in farms and 7.9% in farmers, while identifying two new MRSA clones in human and animal samples, but no livestock-associated MRSA (LA-MRSA) clones.
- The research underscores the need for ongoing MRSA surveillance to track transmission dynamics between humans and animals within the One Health framework.
Article Synopsis
- The study explored the effects of dietary omega-3 very-long-chain polyunsaturated fatty acids (PUFAs) on skin and bone mineralization in Atlantic salmon, analyzing various parameters such as bone density and gene expression.
- Results revealed that higher dietary levels of omega-3 VLC-PUFAs enhanced the mineral content and bone mineral density of salmon, along with impacting genes associated with bone health.
- Additionally, experiments with human fetal osteoblast cells suggested that omega-3 VLC-PUFAs might positively influence cell growth and the expression of osteogenic-related genes and cytokines.
Article Synopsis
- This research explores whether structured clinical data can predict dementia diagnoses, using a machine learning model on a population-based cohort.
- The study linked healthcare data and sociodemographic information, finding that 12.4% of participants were diagnosed with dementia, with Random Forest models yielding an Area Under the Curve (AUC) of 0.67 for overall predictions.
- While structured clinical data showed some predictive capability, using ICD codes improved accuracy to 0.77, indicating a need for further research to ensure these models accurately identify true dementia cases.