SXSW 2019
Big Data + Genomics = Earlier Disease Detection
Description:
Public health surveillance is at a crossroads --innovation is pairing big data and genetics to understand, diagnose and treat infectious scourges that have defined world history. Handheld genetic sequencers can diagnose an infection in hours, determine where it originated and even identify what drugs will work to fight it. The technology is accessible so that diseases like the Zika virus, Ebola fever and tuberculosis can be controlled in the Democratic Republic of the Congo and Brazil just as quickly as in the United States. Working through the technical and ethical challenges of genomics and its big data, the Nirvana of precision public health can be achieved when these bugs can be geospatially mapped.
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Takeaways
- How genetic sequencing is used in public health and the advances in computing that have allowed for its optimal use
- What are the challenges and ethics around data sharing of genetic sequence data
- What are the next steps and how to democratize genetic sequencing in the LMIC setting
Speakers
- Jennifer Gardy, Associate Professor and Canada Research Chair, School of Population and Public Health, University of British Columbia
- David Blazes, Epidemiology & Surveillance Global Health Program Manager, The Bill and Melinda Gates Foundation
- Sheri Lewis, Research and Applications Program Area Manager, Johns Hopkins Applied Physics Laboratory
Organizer
Paulette Campbell, Public Affairs Officer, The Johns Hopkins Applied Physics Laboratory
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