Pathogen identification in salmon
Description
Ichthyophonus, the most ecological and economically important pathogen of wild marine fish, is hypothesized to be a major driver of premature mortality in Yukon River Chinook salmon. Currently, evaluation of Ichthyophonus infection in salmon requires lethal sampling, which is often prohibited in rapidly declining populations. We are using a transcriptomic approach in conjunction with random forest modelling to identify a panel of biomarkers capable of identifying Ichthyophonus in salmon using a non-lethal muscle tissue sample.
Detailed example
prediction
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
ability to aid in the conservation of sensitive salmon species
Controls / human review
ATO: No; PIA: Not published
Data needed
Data used to train the model has been generated in house via transcriptomic analysis of salmon muscle tissue