Team:TU-Delft

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<strong style="font-size:120%;">Snifferomyces:Yeast with a sense of smell</strong><br/>
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<p>The 2012 project of the TU Delft iGEM team, draws inspiration from the sniffer rats which can be trained to sniff out unexploded landmines and tuberculosis. Tuberculosis infects around 8 million people a year and kills approximately 2 million. Drugs to treat tuberculosis have been around for a long time, so a rapid diagnosis system can help curb the spread of the disease. This year our team takes the first steps to make for this problem a screening olfactory automation!</p>
<p>The 2012 project of the TU Delft iGEM team, draws inspiration from the sniffer rats which can be trained to sniff out unexploded landmines and tuberculosis. Tuberculosis infects around 8 million people a year and kills approximately 2 million. Drugs to treat tuberculosis have been around for a long time, so a rapid diagnosis system can help curb the spread of the disease. This year our team takes the first steps to make for this problem a screening olfactory automation!</p>
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Revision as of 14:47, 25 October 2012

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Snifferomyces:Yeast with a sense of smell

The 2012 project of the TU Delft iGEM team, draws inspiration from the sniffer rats which can be trained to sniff out unexploded landmines and tuberculosis. Tuberculosis infects around 8 million people a year and kills approximately 2 million. Drugs to treat tuberculosis have been around for a long time, so a rapid diagnosis system can help curb the spread of the disease. This year our team takes the first steps to make for this problem a screening olfactory automation!

Snifferomyces: A Tuberculosis Screening Automaton


The 2012 project of the TU Delft iGEM team, draws inspiration from the sniffer rats which can be trained to sniff out unexploded landmines and tuberculosis. Tuberculosis infects around 8 million people a year and kills approximately 2 million. Drugs to treat tuberculosis have been around for a long time, so a rapid diagnosis system can help curb the spread of the disease. This year our team takes the first steps to make for this problem a screening olfactory automation!




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