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Use CaseHealthcare / Healthcare providers and services

Identify creature characteristics to assist in disease control

Sorting insects by sex enables aggressive intervention (e.g. sterilisation or culling) to minimise their ability to procreate and therefore spread disease. Machine vision enables this to happen at greater scale and pace therefore enabling more significant interventions. This also has research benefits.

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Risk reduction
Risk reduction - Mortality rate
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Risk reduction
Risk reduction - Environmental impact
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Operational
Operational - Service / outcome scaling
Description

Identify creature characteristics to assist in disease control

Linked Case Studies
Case Study
Columbia University
Researchers at Columbia University automate the process of sex-sorting tsetse flies with machine learning
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Case Study
"Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow,"
University of Glasgow researchers predict virus reservoir hosts with 83.5% accuracy and provide hypotheses about unknown viral vectors
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Case Study
Verily
Verily aims to reduce infected mosquitos population with computer vision
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