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Update README.md
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README.md
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@@ -14,7 +14,6 @@ Welcome to SAVSNET The Small Animal Veterinary Surveillance Network (SAVSNET) is
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Following completion of the pilot phase of the project (2008-2011), SAVSNET Ltd. was formed as a joint venture between the British Small Animal Veterinary Association (BSAVA) and the University of Liverpool. From October 2012 - November 2017, SAVSNET Ltd. was a registered charity (number 1149531).
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In April 2016, SAVSNET was awarded £700k from the Biotechnology and Biological Sciences Research Council (BBSRC) to expand its database of UK pet health records and support more ‘big data’ research into animal and human diseases.
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Previously a partnership between BSAVA and the University of Liverpool, the SAVSNET project is now solely run by the University. SAVSNET Ltd was dissolved in November 2017. To facilitate ongoing collaboration with BSAVA, SAVSNET now operates under a license agreement between the two parties.
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* Epidemiolgy: using multiple methods from standard epidemiolgical approaches to advanced statistical models, to rapidly health threats and identify determinants of disease in order to deliver improved surveillance and inform disease prevention and treatment strategies.
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* Biomedical text mining: knowledge discovery from large datasets of free text electronic health records and laboratory results to promote clinical and research initiatives.
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* Pathogen and host-pathogen interaction: complete sequence and biological charaterisations of pathogens in clinically relevant timescales to describe microbial pathogenesis, evolution and transmission.
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Following completion of the pilot phase of the project (2008-2011), SAVSNET Ltd. was formed as a joint venture between the British Small Animal Veterinary Association (BSAVA) and the University of Liverpool. From October 2012 - November 2017, SAVSNET Ltd. was a registered charity (number 1149531).
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In April 2016, SAVSNET was awarded £700k from the Biotechnology and Biological Sciences Research Council (BBSRC) to expand its database of UK pet health records and support more ‘big data’ research into animal and human diseases.
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Previously a partnership between BSAVA and the University of Liverpool, the SAVSNET project is now solely run by the University. SAVSNET Ltd was dissolved in November 2017. To facilitate ongoing collaboration with BSAVA, SAVSNET now operates under a license agreement between the two parties.
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* Epidemiolgy: using multiple methods from standard epidemiolgical approaches to advanced statistical models, to rapidly health threats and identify determinants of disease in order to deliver improved surveillance and inform disease prevention and treatment strategies.
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* Biomedical text mining: knowledge discovery from large datasets of free text electronic health records and laboratory results to promote clinical and research initiatives.
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* Pathogen and host-pathogen interaction: complete sequence and biological charaterisations of pathogens in clinically relevant timescales to describe microbial pathogenesis, evolution and transmission.
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<img src="Screenshot%20from%202023-12-13%2012-01-53.png" alt="Contributor logos" style="display: block;margin-left: auto;margin-right: auto;width: 80%;"/>
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